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# 478 factory English-speaking jobs in Poland

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[### Data & Analytics Consultant (Databricks / Azure) @ Appstronauts](/clickout/e31dabfccee8ed84?ql=q&sig=8113e17b6ceb061d8db9c8a2ef40c1a380e8062f&e=AUAFoJFFy-1v2o5ebN0CH0HRSXDmdEG6cwVdFWwuB-AwVWHJMmVtmrgSmL5A4BtH_7emDten21HSVMxXDOKvtMW392CeFhKg4H_UjdUzmGjG8zeq2rIGscRW9Nh2LQbm7R2zSFWgPxuQyCFcx_fIQXvnTvxNfBIj944xiXSyJRWKVZcZaCxsz-xzZcgNO-kR5xb036nZuAMeQ6z3MsDRpa6vXJxkz1FCVXmMkmBhjN4QFk_Mepf6z881zGqbWblJvIPDDABLXk6ES7QNLmpm2hoL7TtHA9BYC5gcByKOeCIamZxNZ9-A2f8-ql-T8izM4Pue16k8UFlVaGDM2szini_kfohdt_70iFTBVBJS2lwOKjGHSW4fL83s6ZIUCsqEtZvWB53xjvDHk5P9IDYXkY0VJkuSl6PqNnZV1Mj6vSNoz78p6Mk_zDEQpaTZQ5O-nSEobd8kZr00gX9pVq_tR4EcZuHIbUBN5DVEgOAwJ5yS0Jqii-vY7go8V2MT_t0eG_aKFs5XY3K9AkGWJrS-bW1PFKI74HjnV7PzRSNbipIBpCtOUYppGDBlAtiZUHEDB5aFyKnuGPHnvn3i0UGtnkByBPFH6vManyX6vem3xo61-37C2nUfcdJ2jHxo7rlFT_oOan-in75GSy9nbaBKP6GVO43RihDCBtiVMWCKKzM3m6Yqpc7kDcAnKV-FGNv27eWv5mGugNvp3zj9X5SSbiUS9bN6GgpeuogkfR4z7mzRswbbKRNZyum1-Xb1-PAnmMxVrdZiNuo8hSxnSod4uCTufcHQDtWN8yrshxJd095J-iU38Wc7b-OWs5M43mBWQJjR6V9ftq3A_exX1Et-0_Yzhv242EXbEidBeSi4lYXYYZR3Z9TingWjgSazbaGOrO9f6ao4GLHXGMbULzb74i2hA5E5Zo2py24yN-7uWQbde-VhKd01ikuA7dhI51gTP-WikNIvUAVBOIztNKYW5YBH0wXOI3WS7-nqF26XCRlY01ZQ1YI-rgdSXXYcWy_T12BQnJJ-eRvYUOiX9SzRSlRa5rQxVG8Pe3QrcLIqvMK96hw39nSqkrQ0q09keYFlxIUIMSCBS-tF7SuPG3koc9xghWOVEzhmAvHVRkL22xxUD4YlOduLmHm8g7bQMiO_i3BuFmpv7kzLMZ7ueVrnZ1DJ7PI512Z4FCwtZt38FREreoIHuQfrb_hs35JHx_zsqeZdRi7XLzGMj_WC45gMa9_CeTGwnrtHIR_R-twWKHih2wKI2qTd5CW8GmjqXu8ljZ5dTf2lB0aAN3wPiqdJn2B1PMZfKvWyB0ZXQqOBa_Z8FH7xSxrtxWfpia4UvDm0lilC7sNZ3rnMgl4YjnOCcx00rsgJyN6WmjA9zE2pfH0SVs3lZzeZ8mzblE8qQWfEKjlSzg2G-iu1qKXP5An09W6rcPQM9uunTxBxJtKXqNPaAZA1cVVvoLOMM5eJTNpKs9ScBX_yxU5BHssEFuoOS6tEEuwwjzseu7Z3FYOSMnJ-YlLYUm8p7YjL1NC5uWuToKv1A5cspXA_D85nErJRoBiAbbN3M71fcXa8GJYZXUBii7_aUwFXg4HdF9XECSPpXJ4UQkYNLO1qgig4YbwDN0UD2eNAu8vn3VSsNTZ8nEkq9vedbKGaF4zSJVQjsOyZIpl9LoiU73CFvAyp2ADOxdCjZQoRAHESu3J3Mb1_yYOVImzTXBUoQiMcCx_TIX53Pr4BbgL5RfMsJJ1BF9hTMsCQBVh-wddiRTOwSQy9KMRW7vPJlSktJQ1AG6op5p79IFx1DCiC5wiAFxdOLGIe-vl9lrey94SnHuHLAwm_8BVqKVgmylOsgP-NhrqDrp7GcFEfyNPqKVKUhNPdfGaRDw4_GKdrLliavA&prev=RQ616890AC3CC938)

* Appstronauts
* Warsaw
* June 12

![Logo](https://cdn-logos.talent.com/v1/logo/image?company_name=Appstronauts&feedcode=nofluffjobs-pl)Experience with Azure Data *Factory* (ADF). Strong knowledge of ETL/ELT design and implementation. ... Requirements: Apache, Spark, SQL, Azure Data *Factory*, ETL, UNITY, Power BI, Agile, Requirements gathering

report probem

[### Data & Analytics Consultant (Databricks / Azure) @ Appstronauts](/clickout/c657748a261b852d?ql=q&sig=6d9ce14c63155579a86df19fea8231cdb92b1558&e=zq3TTZqra5pXDhi2zKs_94Z054G6pAm9hK61t08yZJlq2adYIUbOSsgHNUw6ZVcAp122RPGLi1N37WVL8ujheWrMKl74rRoZ1_efWfTgpXPfRC1dQmBH5HmPGdvboIHBKC3Z-w_e0NFYfhV6HHK1czxVx53xuWJFjHSqWS6CRTkTwyY3Mq5uyhIVIUmbdhKm2r59dwgEX7iH5OQk0uA5WKb3nkzzrwzf473RVwDiBjmRLrSx2UqtK-ZDWeMzYFwD8muweU8XUZ4HDCcnZuABBLbQogKqYu2t12M2ikafIV6IMn6WI8SlWmbsV9G-fLWohKoZBhnBtbNlhw3bKvsY8hzA1i9wWlfj5Cvj0vmsUFMfXMTAk8I8BVN9cE1UY7rTu4lqJrF9XgdKlEh31mu7-I8U3cGiqS_d6Wb0SPYcUfW6wA5le2H0tQnO8CXfnptvZ6a75L4aFQPM6QlV8QUjUjQMTu_sGFwGJQC8be_V_uoTWBHhWjwLyhmAmGnwy913J9V1IzTcQW4H5h-sV7JqzsWYhS9QzShEFC_L4DkRBho9d4ADN6gWamiLC40ceXw9-3h2-RTFAAC7Dm2ZQjwakIlc84hWgRiMj27VXOBK7hXkfOwGgqJkBJk11D1NU7ejhBLo_OnfVC0B3goOOleGAwZLCbSO1obCk5Rm0j-KYWH9BbPjQrDXqJq4mVK78vK7K51CMQovhfr46ENV6PGTBD_1Z2D9Z2-pWStrPnnuRC_PCfH-TjhjP3g6qtK6ujrKVyltWxTNXRaS51D54gVbham97yhcxPUHdeqs_mO05BJq_7ZzOS2SOxxr6ILe_JbBzfM3XRZDOttgGaNY1jAXzZbcpoGGo_E_BBGdwuiiX5Jx6REiy9rGpv1IG4LNHJQnA08-7EPSIjTR4aVPdARlf4-OnmraMkdwXvGau8H6ARc-2KpeepMgj7FpalRXiKl-Z6AOhvTXHo-fuGlPVxrGqfVqSLeJK5DM1XWf2NbYaT_1IvXWvDn_rEcwk_g1WFX2HXWbTfDQlOCTUFyZOMBvYNcSkf5rByE5fHkMuvp1tcxBv54a67uYfjULF7EuugQvI9XquSvgn5dKpfofm_usLm_Vm5XXzQAVemI7acIBEZuFIh_oZ4a6_v1fSFeHLuYFA7H_yiQER32BbcurS7Hkmo1Ip-VYgYSUX78rozYwHC678hU_qO0heMf-xac9JOLSFPiAuP2kzLyctTqsGaSCv7TCAA6JI2jq3h5dynLRTqZKZirK_zP9ICHmsPvaSXXsnVH0fab0Y5HuBuaHKGbYhZh4Cu45Mks_DS1JMuydJEWui4U4F8SPsv2TEHZmon5wrD5QneX3985TUMvtCBhEL8fpZVKsl7IZtocAmzvbGWFHa11xcXR-HGwA_1pegRjUQhrJ9YIojwSr6tlOs6hWNTcPfu2iPcKMkXw3G1M21f7pNotus362n8oDHZRWy-MsOPuYKEYJHSAWSefU8FJdNG7OyJZq08U8GHxT9FAktQSxRpOzwDOgO0eddxphgltBF_Ei2u_CGn-FryBd8VkPeYY5XNL2Wg_ACBN0f1qmdj1k7iz1C8g-xWDDWAbD6Fk6VgfOuMrFEqfcHL6csPX78yg-8SBYSVRHwuGEW92rT13GPiALvjmf_VqOMCGOBhQqqSbLoYLOZwRkXbl_rPprKFZA_uHjoYaTyab-Xt6QSzyac9a7BE8aJvqAuMyDUAoRz9e0BwP4QtDPmecjjSPc3kr6y6YHPJhec6AnU_Uk1k_a-kl2bToFK4xISXVnSZfHc9ymBNouk7E4EQEJR2pcwtWb5P8PfApZi-Wvmqyv1CV4ZnFOUFeKXfGEjYDSOMLDxMU9l4_eHJlKTRzw0sS-8k1maoJ2ipKsoQ&prev=RQ616890AC3CC938)

* Appstronauts
* Rzeszow
* June 12

![Logo](https://cdn-logos.talent.com/v1/logo/image?company_name=Appstronauts&feedcode=nofluffjobs-pl)Experience with Azure Data *Factory* (ADF). Strong knowledge of ETL/ELT design and implementation. ... Requirements: Apache, Spark, SQL, Azure Data *Factory*, ETL, UNITY, Power BI, Agile, Requirements gathering

report probem

[### Electrical Components Engineer](/clickout/b02c430c7616a7de?ql=q&sig=4e53790ea5077337aa6e226f9f1d125e8368b941&e=WRcT_SHPx6V59bOz70AHH84PNajpWiwtYyzx9GSQFmUq8qlo87Qu0McBRVZHyJtL_9DFMxuMeW2oA990DwaqfBlZ5h3aY0OzrI50x_wJ3pk0xWdyISN81AV9T18HVdCw9--hY24y_NbIAMnHrKm-iJNRrk3I8kzTvSzaJ2QsBPlA4W7FZsnUH0iGvTQO-fMA62nBaSazJiAKPlhbXVdWYiWVaBLUAYxLv9v7pAaH9yWH1IqvfsChXqVzLd1nj-LFbwpZU5Visz3rYxPIAn95PAnKb-zJTB0sP0G6A6igBxozscNg1MSTrz1yJxTbPYnM_Sr3adwRzo-VrR5HrsWegMVt0PGM6VOO2iPSFqf5mrr_8r_nb9pJo3425hZVtzDDlzW2xbVHC251jIXyGDRexHt7aFOmlLnYZ_Bclmn2hxPcZP-3ZPc7c1c15w7YFXN6UPBvfKYr4Iv9cuJMR5ILF7UhvByo-rqjevPDjV-zyQ8asWlsY3fKc_GUPFKPrfEIcVxs8WCh_8sltLHR43NPJ7opHLhVNVJkUXiCpzu7XBnykZbMqu-nuSADsE0OHMCU5xAYjWA6_5lugagdOo6gMKZEHWo2yMSEEcmL9Or220qgi8n37E4elqoEm_jKnAc5nvM5rcTeDAc75dDeRocpOUQ5p9Jev_ykREsLB8Y_KmuhJAKRCFhmiVD9GDVvCpx9dAZ7nQXCvT_fYDtsYhFyc-tF_gUdCjvEln5uJXr3TmSJyvd-qfhPoYc7voch5a7je88s8x-vVr7o3zGVWwBNcgP5OYawgHWwIq9TNC8yv0M5UDg16X8eWs1Z7DgvIKFT_xWc7d3z_TshUVdUDQPJR-EFBmxcPQRupxFJewuVJPI3tBWuYhx9ZSGK4KQYF-qEsQjbDRVc_Wuo0nYG4XuCfGUmke_FskcWRfeje_eyJrCdePSuUOKfZoqzNERP6aFrAhYg2Z6gcX6zUxxP1ST_Lt4ioH4Rfd4lUop3fFCvTXxKDR6WdxfTB3nVWHqtPpg6hCAJPaN3qikhKsInqOLpqgO3Tqg-PoZ0pzp9Rb5VatN4hI46_y4qwstrveSAlL35fDJRNlZSl_szLAqNIagUXdGZzHRRkGkTAeggjs2exS4suUk41hkNu9qhXgAnV7puhPCuJ6TxZ3x9PMeg5Npk7ED0Pehhxv-T7G1wJKkLWJVzwhyk4zLH-QhuXFzTIHEiS26ZQQoXBl0o3SCYzgoAKS4AnB6l04AkR-YHMlp7Iiu95dln6FPDGz8riISwvliMG9nLKXY9Zj0bKWXHCWlbrqCoUFHbNwbwDAKEfPCWJgxDc7xBdi94OE2PtRSLHHPeE_Lka3x5L_VqERYntdoPYTi-nlWgCb_eiDJfjL40JcPy8zCHEbJrqHSQSmHerYIVVp8y5HSljEeURiO0F7L72iJB1RnxQhRPVXmWBT-7Z-_UvNTmBr00GHGsTSwpAI2sBFLrtkWFMp9fbUi0UIJ27CNj70nCAWTPCcGnLz76mr44Hg&prev=RQ616890AC3CC938)

* Electrolux Group
* żarów
* June 9

The role requires you to analyze technical solutions with suppliers, *factory* and other functions. ... Procedures (Environment, EMC/EMI, Performance, Safety)
Where you'll be
You will be based in our Żarów *factory*

report probem

[### Azure Databricks Data Engineer-Lakehouse & Cloud Analytics](/clickout/ab2e62eb9b918b45?ql=q&sig=e087a02b76201fb083ff5c5c925de9de898109c5&e=4OZkI4M1tVeCrHWLF_EF7tHHDEsGPcvPTo9U2ywxKgYOWhKShj-f_KspB086jFvGq0W-enYZMXmtY3Bu5LRXXrjqt9hFF489MevmGMGG4x0cvkObUeZDUMFe6xCrpeW5tB4eFatxN-srj2c0hKaiNaIQW3e562ViLYntqt0lt4ylBO0P1hIIyQHJDk7GYIM-0b9jf8O1fDWsSXtO9TSACDf-q6pK1A7LO8eeeKelI3Ymf6XvfwV3TaZWtWPmHsEZrTtZmOtMKIDv_KQoNxx_VlNdokbmMx8_ngDgJtfm5OwmKRmJNaxn4Hw-ECHinR2jCy4vcSsSUB0J4wqTtrcOeLqNxkTbVdPCWKkw2qg36fdChUHgu80iWQeZSFq0J1gw62UzXDDrOakAuPTgXdBmltzHRuDmVbYGnft6Rlq6FtXLpEpSUGykLdi8xu6MD6uACqDkgKDahvp6eut5T-pEkT6vIz3RhcYzrLcESPTqJzJH_Sz-g2WmfzLmFiO7nJ6QBwuxALSdFFSQA6Avij0CNmFFOjqUt2nw0L7lMtrxqOEXUST8Vnc_79Fs_Tiiq2xUFlU5vxWIy4GPM6myXAZrKJqsqAlRyGDvCPN2Whn9_dgrmZlIqT_y7wTRFprKp_gvQKeHlTNXW2do1AsQ_qBVNGM_3tpwKPpfKrp0IRDzzS58ChrDs9cc7gzA62DrDRoE-HmODe4TE2xxnZNKV6PWPuXpNjSpX7CGAwXROLx2DgoGVgyPOkcW_2G8bR8a0xfnXAM7MIqR6x01AgcrBOVyJ-LyDHxZc6gMaLoGb_a9rSbkVSfxhp8hX1_CBMN8cMmtMAMfFujR8gi5wskPsk1w-x8kKbfDlLRnmRrnorn2Rj7u3iYljljgInqGzdSp_e3OTAZvM5IVkBbx-Ko7nzrKYwcOm8EEdTO2mOsWdPnI39uBuOyOY0VW9fGACD5RhrONZfwrcM2e9wh7eaVFhdP92vt06Uh6Y0rueyDz8MEmh_0q3c51Tsaaiw75paXbHZDv5Y7p2Bwnk3MAvHIX0LzR3bbyZbSlyB-UZBE3M-qAumJvvzX6s-VQkIMRzzmdQPtfpz3kd_UDmwt_4jPrDN3g3SJKXRif4CZimQjP1Qe9aGdV2vPQq8xCLqzpxw80_jVKtg1-G674Ls2sQRLO8tPM47k3t6C9NBQ9MSwvRW01r6X8kwmMMVj6YmRdhvrHhXla3FLhj_dkvs5B7EytZneWHIxh-xrZfW84tuSsCG7PmM_Qkcbm_OhnrT864m4vrMWy-F2gEM5h8dA_HsW31PmVqAprsRAktWpMN0oSJj8Lh67XX751n8HwtBuJ8Ri2bVlYQtzNRTCfUiA_cF_FAv2p2hP3LcSoreLHgymJYg7kHjoUrAedra7nyHS9woqKgobk3wlco2AoHnBZsm_lKibUZyr-UFAQr7g3bRPU95Gp7s5FlweiZdLHJbhXwq49m__ESwwv9vnop_Kgma9IRou7-PqyxjyC6zliyA&prev=RQ616890AC3CC938)

* Miratech
* kraków
* May 22

modern data pipelines and Lakehouse architectures, leveraging Azure Databricks, Spark, and Azure Data *Factory*

report probem

[### Support Engineer](/clickout/8f8ed7e295fbaaac?ql=q&sig=36b7f1cfc1d10445122f6a83843f236e99330f3d&e=sMIqjXotfMA7JGkscJ3MDLUnbWLGKUVjcaZ63jJFVWAkXIKq6manpGsKj03RHEk7j40mXVigI1QCVDhEL413bJ23HLf6B7uv_EhLNi5SU5YOOzIPnjbl_yOsxpNRiRQI4vl6TYibVL4AzV6kC7FUfsQTxqlFP9ivPIX9VuLz4823nkwAGcLouq3H3bT9eR-zEXWW2uKnA5rDApk6hIwjw6BJ6EqrFcD7Int4iIFLNBTyrXAKc11j9osAEUB2rCoFjXShbZ0Px0cYGOmaHxM0QUyx0EJ8THycjZOG9KkCUD7jRUQv6cW-icpZoM4Zzy03dj53cgcW5s1dSrYIUgbd9ZJaeg3O3AsCWP0TofdAonvjyNMxNrk_IepA24FEGSlubu7IpdSL7Jf-1-hlgLXwKq7QhyDzLFboh5CcasrhREVhu_PlM4WEz7DG-vBzo7ByRAzd6f6v1oXPIqp9jjKwtMCW0cBLiLcT-e7D_QaifVpvVmxbnM6dlNjsYpHOw3_s95e_wPXD7RNn10EPaKr7q3PqJhClgnfVV29N13OwKQJAexYVMmYjSf903FE4h5jy32ng3twXvtWVecvpUQL1PBcKsNjhQaApJk3eBCVX1tJ0I6IsJ7OKBe8chsrBD9RQ23rhu4Kt6NGD4OBydyQGvz0F00nTLNlWmHGUTP-YZFUNQBlPAqfi12tI9rgRmjLZd6L0HcFUnEUBsAU89wgN5ApPMtGpMB5TwX3UBBFtkUi6nKTy1b1QZHeqPaCm_tW1xKGJIs0KH3IQMwkRqwBWkoRvTsyU5sw38DDbI5euj91_LNBrutHc-KNd3_ZRlLY6d8QVopxc89WKD81g_HU7zjRSZwUpECyOGOdo7Rv8mXthdenWCrfWRCkBR0wvuUrDO44kBEHvQfbGGj1JWTVaqHRq8ULdi7ciPIoeo2YCcx12X3K0wPi8fOMwKS99zG30rAg9TpjpV6jYJsQ6gFnW_ecyrk2bi_ElaTgPIrhQ1hvP42B--ECD5613lmzMNMMWSv0QEKLXh-t0XCvJHE6_6HXGab5W39EG0hedSuWTkKi4dyYz3SBFJwqK6tLeGcxmftsUKfvJwaA75FodI18_fXwpGizd_8tam5jMIO508DRZEPtkmr6XHqqIhpXHc4afR35tW85B-LjokTOTVR6muhdwb14vzVPpmxJMNWhY_ULDQgF8NCtrxFoF-XIz7eP8qKoecd_3BUFhYnxAZBFsYjmse5zB3YI2DUGSjaYvDrltJKRo7MRjXb1nOqwayRGH1VAscKpqAXKPghD1-CJcstQxtCdqoDVmZ1RnCJfTOH-GgiuU3pO_v4eFzKr9GAbrmx2rZI_Nvd1t8v0PqTX_qZ3bYP5iWkdVu2j54rJhUkNHw1rHgkJ722Spj-m92FGAqPOi4FLHk86qvS3uUfr37b4HY_7aul-LuqsxwPFUDIx4LEYZQPlBrYDzQKEIf1B_Xwvwbf1y6_7zBDZm-glOhFE8atkUFM1k72YnS_TAXtPhtQoZ1ohEDPCPi0F0cZtXUMITKVJO&prev=RQ616890AC3CC938)

* Luxoft
* wrocław
* June 18

The ideal candidate will have strong expertise in Azure DataLake, Azure Data *Factory* (ADF), Databricks ... Skills
Must have
Cloud expertise in Azure DataLake, Azure Data *Factory* (ADF), Databricks, Event Hub,

report probem

[### Data & Analytics Consultant (Databricks / Azure) @ Appstronauts](/clickout/f18cfc8938e5d8ca?ql=q&sig=d17cbdb9445029df3ab7620e36033bbe22166f3d&e=wJuecEaELE6-ryLDiWUlTtzRXF67NOLSDV6oEHe1YgYnmA3et_lEasNEGA475Pdy-s7PHOhsTtFND6UTYketzEFkh73YhAJJCjjMAkhCRas5gT-vXOLVYeFcPwCjFPhsbHztmDEbXhFTDqv8RylbG14z38Eswh-3BullbQeCDUlp_w9ZwUR9RgeH_IescyONLl3PDv4rVpxQb_0_EMhII-9Q2gnLTEgMEVtZFC6PSFwLcazRjS6hzLIofgPxvDgsno5tn1TvoFVsdQHENa7sDLJBmFFTdT5WQ7ibuwqGsj8q7smM79J17LQVVPfQigsh4wKJVTP8hVE9CAyZfpYfLZ1kxDmcjk-hq9RC_7ifFcbTTgXGyKlqgfeWtoM4BuVSjykEaxdWfZY-G8co8dYbsuH5Z0Bt6Zj-POexvc8AczhLQKMFoNb87OzTXEuDdVSuiO9nCTIQNmSgqKncKd5BiltRBJyIhQ9LXeySsYwOwUN8Soc1onmbtXjj6yoC3OJ_6S6cz5HC8yY7Qo3IKGWFkFyLWWtQyjq3hFwhH-XVkA3y-kN2Mclr-JG3xJ50JvPq8wA0hx1j4ovkaSyX8aWfSJS--5fQowfFnixxbHPyQL8LrSlhJejdAJMpc8AcgCuHEVYEUbik929kZ6Zt8oJOkPppN94War2FuuwIx7DTFmzuRxrnFNSd7RJaZ7wvalPsoP3BK9whjPcXa7Zjb8ctobEA8e7X9aPQoF7_lDkX5xNlHJcFs42kLfK4OwvNnrUpkeSsoYdv1oxENoOLUtruFLIj1W4gDZi9KEnYiyd-gcMwkHmatFP8iBRxWfgp6v8RHbRrjfXL7OJuRLI6Z7x_g2Vbp9LINhtH5VGp8Y6MCMLAyxUjWOo5cFQi3OW1Nap1NtYg8JzKIB8yVod5bTm5maTznP1J5laWykoFjoDkTF8wiUEjs7zlv5qg1G9VVlRWlzk7AuUsXjWF3ISbFNdeNTkhCU_Pl4-m1ClFM3qYlCXY6hjWeNf9LjgCot22znXBF4W_9Sdn3kO-NhslhbqhUtk9cB7oC0t05toQa2Ec62r5D_Oj7vHXTkP89NEJo3OEjg_RftPqkuxAHMl4aX63Nho7PqemMLF40uH7FCajyj2RPUSJpIJVw0fVUgMeQ8g8W7VR9HlXnkx3_kQ7SLnntOB2z3gvhBlCTA9HXWdGlVUBvc2isUyiBAEH7Y3IUGtKLUceKrha3L0IMpxPtY41dtCmsVpPAZ_1AMyyzZ9bkkCME-UmBI-8u2T1medIEQaJ1OPgd7gbH8R-JiOuYJFzSF5RPw2-yE5LI3ltpG59owgUoRMMIvg8ZqDEz4pfHtmw5UyrwjQl59dmyk-F0_0RmPPTdGZTWf-qWMT2GT6y3NdcS_uSq8N_KyvTmVf5yWAkRm78bytRwaC38vPvR96DmWDhxIAq8BQJPNc7fRKIAjdmfwTSLNNg_3DRxMT8j35xPGnnPG8rQtS09vYVJA&prev=RQ616890AC3CC938)

* Appstronauts
* Poznan
* June 12

Experience with Azure Data *Factory* (ADF). Strong knowledge of ETL/ELT design and implementation. ... Requirements: Apache, Spark, SQL, Azure Data *Factory*, ETL, UNITY, Power BI, Agile, Requirements gathering

report probem

[### Data & Analytics Consultant (Databricks / Azure) @ Appstronauts](/clickout/dfa81df5c24b3141?ql=q&sig=fa80451378cbbed316962770a304e7f408017a56&e=77aUa0q2OCzrnBI_yyDHs955xJIqowMqmAPCKKgL2rBX5Js46hYbzFLSXh3rpxo7WftsXpT6nuxdIhiuTdapsCEwP6yctBN3Yu_lFf7L80sdE5ZPLh0tCLm243whp3fabSoJGquAIe7rCz_lfcnoQzRt1OGkJXpv9zveksnht9sNAbHQ9XL1wU2MEmL1HE9ioanMH9AJ9deOPa0Ad0YdscyA_D9njjk29-8gFSXgaboH99_F5hUKvVExVLgmanSSg7h-Uw9DGpp3TfmPfUYdHRx4fmySNUvmYxE3lz_SBUv6CAjDnh9hLeI6ErKrgwrWZFQkqn7d2eHqLD_tfJWfGIymMOpdxK2bMcWjJbTL25FVuHiXzHqZVEuRDJ0KFKJvxPBKmfg4tkZ3xG1YMiVWA2jlS8qWhWFosHoyMM0yiNTaju6V31huH0f6eZilpMGIDwZ6Qx6DzM4KQxdU8ImjXhTOFy2iL2KORQp0HwFjHp9YP0m-QfKkB-IzoNimHZuS0vuhlm1JBtAqGe6h3EM0FZyDueRTBRt2Enls87Yko0vrzX7dvH7nRV3paHzKRlf2OY5xHZAgElh0O9cLKDHNIJcVydlUSEL6KFXahTO6ctzQhIKIu_tjagWLOuE_tgcIg_Ks7-TR3AcBCwH8RtKbGqtyzYhHSyydjzYeahomR6A9mEF6m_Go8IEYy-o9bfN8e4k15LzcYmTPPpsNpvk7IcQXGbmAK0sufrQ8qUCGJDceZ2SGzRZ_cuYNIIzaoebJ3-UZqKFUtwUquiFo68lm_xPlukcF0jcre-HMz67ZEF91AJSLQXxRZmNvFDDfW4C8OXEaNJeglxdFId07tn_W29wepRdD41D0BwTLx-3U8kFA7-x4FaJdWYEoFaKLsK0fp6dMCiaQRrwCC3-bCON2_2E-V_t9SIu143Tl6IhUv8lKUCdBYadMoFY1eBeg5cXtdYXUcv7f6wRgIec7FDrlEvA-3xdKOeuudZsJzGKXEU33AY-NeCXs9jTr4GucTJS9L-o-ErQqs2s4rGWBGFmnzHY1qcUE4Hh3ZjfynTmdeBIN4NByOVyLZvEDmmFW8T-WKRhRAUnQEoDb9tEIb3KJNYquc9b35VC_o_jzPoxLahtHOWTzqHMPXQZOfCHUknaSZdQZLbE_qDwIMIE14j7-qQUHKB3Ejl-m9c2vVdkYN8_Gv0yRsPHISg6fILnNGkvFdtVoDyYeYLkDc9axCVCGvDcb1NvUaWS3qRUkEcH8r0JyXxdHJVD79d4BwqkVRwYzFb3d_M2RcdRYckIaqSksX7rYVj6oElq-GbpvdHtLHI8F00Phyljon1uUNv7OmYeqaVcTiesDA0ad5llqOeyjBSzy6L4oBkQearyvDxDnLW8XDqd8jehar6-7ycgxMvWIGFgqmW6yLMm960zHlkPqi_5-QaXGDGgAABBASwlcB2IcQV_BMY8ZxT8urqzAztqk6AT4MA8iIwjpog6cLw&prev=RQ616890AC3CC938)

* Appstronauts
* Lublin
* June 12

Experience with Azure Data *Factory* (ADF). Strong knowledge of ETL/ELT design and implementation. ... Requirements: Apache, Spark, SQL, Azure Data *Factory*, ETL, UNITY, Power BI, Agile, Requirements gathering

report probem

[### Senior Data Engineer (f/m/x)](/clickout/82a130b0178cb7d7?ql=q&sig=990e7bdf9dd9542ec44e0863fa7bfa48796dd8c9&e=DIgemzYHcf-DYiDmP4BMU96-SfRlcBj91ZoRVA-AqiZhiogDUc2Zg7nGLZ3p9pGA74QR_3qJl2hLHtpjEgc0dipsWCr-h_L1EP67tRpS11_qrcr2U-r5yNrZXfb3Fka1nwImUTifkMZ5pGJnbBfI8XFdqDRmQzkaRKKDvZsWdTqjhuPtDpPSTl39hLk9MtH7WHvVcmX29eyaAZxATCRKXosHUBar3AOP4gSv2_3PWfdUR26608qFShVDiUzYHq35IRxRM09oJIe6izA7uwDmzPdObuZ3fMeqNwI75_PR9NDBr8D375wYrwEFCACKA7JqPh7ZsHlMWjWsBs8jpvjxXYa-e-8TYBY6_ziz7UCwcIoy0fgf1myGDPobbbaS4zM-kGDCmpN9tSRifwCMXGqaWDT6XTRZ7Spi9cBlTu3fhPDQ2rx3eSqpGlXuLlWED5mDXPTYmitChhFj1ZRM6WU0_hlLIy41LC-BYSeseiGehJQ8W41MYQLcYRq_ia_0xfaGvfAuHT9hMZo8IK-M9obcpNYz4kO6vmh1SnUIoEZTWdPTmWvmAWdQh8NVmfb8DUhfJ-OmYO8aefXX8UuFvjra_0bpYd90TquaN4-yoTBcKAHFqRzYBTLTDuL7lL-oxNTD4S6Yl_4NS2t8f8Ih5OvvyCPTwKmMyYaspaV9uYdFy0TCUR7Bqlws5q-M24UBtPelZbzWXQUOOkv1VAu6rJu6lOwHKBISR-Qako5knF8EXE6rfOL6WHxF4EP110IAYLr55DR8jCSLXb_XaY_BR-elnugtvf9KdJ6PIHlCStdddYi7i2n2m8OjEfb8scmkpG7CerInOBuLPpYoy5PX27uxs_bB49X8Zy6POnXmzhTRdFpmQ_TPmgwkYzJEfqg9iU7t3gCziLqhPp7oh4ZHw9ieMSb-kjnl8CxAN6tJrewHxn_pzKPADtijl3sXWAH72XeDGp2Yr7qpLC_BaadICmEvuYl_VBvbIIaYS_nXARLi65dE1UDAvwz5b1YvE2cGNiOzCnXbJKJoSMzSlHxwyXbtCo-11MPOQQGK5bqLpbd4156qt65wNcxAzGB7UnlXDCcCb5Txw9l7_72S_EPFA5B5LHeZLEYDrHAggp13MZBakzMhegVWEBOxzzNN5PMA_RAk7jOJ0r4AzzBCEPIBxxFVWk53cD0lKIqEJdJzAkzXlSm11PXGSiF-d7MRXV3pE8UOm0zlCtMhtOFPxkLUA3yzJKJABmqmYGdVzNxWufTQXKIKRaqUeWO0ntMA5Mj5AZI6z3de_l9yCrBD8urC2C-6lYjxJF1To_L4mfkdfXd_56sTkBQ8Gf5YcSzk7uZlECrup5LOAgilsCvrzfck84hOPBN1ynCOtjm8ttqNJEmCMBHF2YxAa-1pWc6ZGiVnhRP-F_W9w1U9pufuVN4TTteQMH8GL2s15eqWt6WHvv0RoR-1IJEocLUHTZvO7oTJNZKFjzWEgFwRgZBh1Kb1KUaggi9lhOfYR6tN&prev=RQ616890AC3CC938)

* Breitling
* warszawa
* May 22

such as Azure Data Lake Storage, Azure Databricks, and more
You will develop and maintain Azure Data *Factory* ... 5 years of experience in Data Engineering, preferably using Microsoft Azure Services including Data *Factory*

report probem

[### Data Engineer (Azure Databricks)](/clickout/f5c19d5bddad8069?ql=q&sig=ebae6973fa85313ccb9a57685645bc7ca498c069&e=urKDjGFw7H_Fgr77rQycD_9uNdVD_W0wugD7RWC6n1DQQvjOorXHlCJgYpJ3nIlud5IC8X789iCguqGRFDzQmt3m7_NoByqsfeSSPJQ7cnkzOqzA2Por6o0NDk8qlfoKy8LcywdXn_sdLwcDGsxsLeSViX7CwhrRu5nl4fIN-ol3JJor3L2UQQcshDIOnqVVFIva7psCSlSYDwDCvPq2C0jvmMidIOBb99L4iIinRBLUraHeGAtqUa2aXQCGUpn2shcy9V_6x-ilknwtp2P2ZcVyO3ushKTKC2U3HjKTXUVch3PzyeLqQ0g9DOfDdIet-_8CX1tkJTrUNpIyXJjgHjRMPcfrPA_3auVDnVc_vnYfpvLFvH1nKxUi7rr6EIQVPPO30j--MyF7aZwnGI3f4wdPt8lTKsDbcUP59AZ4XOEZpLyYQF_bL54Ov5PKTjn9BMOY7OIh6JR6Q3rmNvMw4y1qP4pPHRypAqNUdvPF3I681y5pnJlfp4XNSjZPHqgmnjxk-xDOjpxDBbf27uMRs2BblqhQMRMZvNE3AE2zG9Cb7ZcXgV5w-yyNBs7wvw-lodY_wdmzV3oLnfx5gaOyxreZmMc1VCs2GUod1e0tRhQkgFwFsvRDIm5DTTTR4fQc-20STpj-AbNWDx2p5xRjLONTezVn1EeUUzYVX8qkJe_c7JTOTql6Ckib-NaVD6FZDps1lQEzE7kaza2PQVq7WdbIhLOH0ty6urNPIx9qYrfglLDPQ-2kjmhmvanWAfrMosV8M9MmlXlOruIuGRQfF9lEy3lyUAf5fCVyw3x809cyt_JIm0W3-zdWp87xheKDlGDfJeCHRyp07ru6xUsGdAsEGij8NciUP_P5Dsd5KU0KLKbTAcxM2iUtHy2F1yNSZEOGuD8iRDHua-G2adXqj9OEcBJ2iKK8PMDghMIEPxzTBFTPK5lave39E4BC8VCztZXfbkA24AHERsg8n1TalusZRjDhtVmnBJ3cQzDgtMBtdsAYr9Dfu_LFYkt4nwb7VE9CYGDj8I7L3JA2ScTbWlbHtSBh-vj97KIk0OwYA3EPcHnxxLxhyBwkiP0pAGoY29NbJEiQvCsHE4SDw1Cp0uNBygReRd9DIDcZeLYyVcj_IYvR6RTkVCXIbZx8kzgV1_uySl5O4sIMfPdM0rATDDyZUuec_ly8KJuUH03SXrz_4WN6xqsEQfg37nwg3ZsuNytcaM0QRP79CB192PJCZ8DKJp33bo7vy7QiOw3rM2Nz1YYwuhWkUaw6wl7g0WG7xmPOYzGFNy-zi8RdQblRzxeFcsVk-9orOGK1OeUj4LkZFEMUTjRuYpIx_FfU6O_cFQGitpdtktsE790LFcVjp1Sh2-2YDk5KzPIDw4QOencDYZYhlwt_KHly_SpxmmV41UkJfNnroaX9SuHhTiBiOEvdtzeV_CxO299sgDKHYNs5_Fu_4UiE3nvoAvjMaf2jFRZRl1mUpaQ-MOGjNe16FrPfNHNdahHvPAK2qY6Be_jcvNcXNEN72ncA8Jv2NGpXTdmFybZ3Jg&prev=RQ616890AC3CC938)

* Miratech
* łódź
* May 22

Lakehouse architectures using Delta Lake
Develop ETL/ELT pipelines orchestrated through Azure Data *Factory* ... modern data pipelines and Lakehouse architectures, leveraging Azure Databricks, Spark, and Azure Data *Factory*

report probem

[### Technical Lead (DWH team)](/clickout/791cc8fd3338371c?ql=q&sig=f5565643cba54c21786ccc4eafa0832ffae1a47a&e=V5FGiOyEEOGVGOVkus0K-Q7UYvFlP08fEM0Biod5EyxeN1ABkmwz44_nWGnxub6s1EI1OyCbaLPoGd8YvXHaM9EMbCBQvR39uQN8zzIzbsCUmfWkAtR43KdA6hjQrfSFfz76UThdmLkfUoS991Vm1XB_ch4mK7R1wVHQH2kVXO9HDK0XpjftY73scvTueCVxUTq6c3KEfAJt7p6n5CLFcvIqTDcieYsyE9A2uTLi_URfQhJTEs5Kd1M3-n-9UY2Gt6gJDKqDRHuHP4qQiuEIsYdwzk_wC9CQnw4xUTIEpo3Tig3lCty-lpSkyokRoso5Xs8a4gnGnzu809Co8HzFpZVWNAttp4Zqc9iFnbuOzqrB0toTkZrNbVvXEc55a_qMoB-Hp-PX1V1ApXrb5z6bh0WEYClXjnfsSahi14m7V6F4WdpCgdspbk6nIS16rDuns5s9AXhjmKvd_UC2XMmz1hIzlaJhuKckkulAY1YUAoItX4pJitHW-T000rg97fv4WFERZaDLW9uk41b0e7b61u3fDwepOiv3dLClTytrV9qejdjnJXO91reXClptiPw6yQPKyZmBwQrBG57WIiRwF6eYQLEleil0QTlVw1n7fPAasZE_GkVln7oe8y-5yQY5csiaqIQ2Rs7AEfR4fKlez4OY4tkm1rdgngzsUc48LwDzWGSvEdRGCLRTIqzZPWoTDt7rYIQ_2-7wAXbxymWnHZqcPA4plw6IFFy0HQWNFipBSKDHRRNRytYgvxWuNKXEQjCo0dter6CFn3EZ5Y3XHIuV3hPKtWs63l8uUMG_TfA1cHJHirWZFFUeloA_JtotChq4mROouvG9AY7n1HyoJz33jQL1xSkaxT0LcgrzYfOjG5WmzKn-U3DUuJktkfdNVJvXhDGstP2t1GWGNEaSpP70Ru0k2J7iiqF5gL1TokDezo5kg6XQOAxM7B-hL84IU4BVpFXea73QWFYKitUvQDeD92fH2pFh4URQWs4pfmZf2qOh86BfXEPe18gMEXgttxkWeVITKo3Tr47RagibTxmgh3soEwuFD-Px6tpHxVgWuHEjhQBZbPC1yBtum7cYV9VAaFCERJBnQW7Qniow7EAaaXSRpKBdLDcOTghwtCNex2DImn2arrhr0M6fDTqL0QF9iuYv7cmNVA8N1vTYXzYn2Lx3SYwA-n19_gC8yDVYcgabHN2kx_926mRXkhdhoguUqedSAWgUd6nw_ZYxVMlpE2AoY7YOX2peb_w0tUbvX8Xr3-_GEtLJT669L_Dv0oA58jI7q7EiMIidoI5nO-Q2FUYRDqAeH5EjWNen0FLSt6AzX7CxQpvTcdqsDo9dQtcUopgmlU7ZCwp37u897mtJiDEZ3thG50o2HmStfX22ECtVuBqUuPFUndqlev4WMFxNq7dfq2bGa8XVFcDzCH4vLgklEynkY4h5h11gXCXWlVNrQqDJxDGawQc3lWXQGkQspUckFmNcmjeXgcSmkNYjxpA4Akc&prev=RQ616890AC3CC938)

* Luxoft
* warszawa
* June 13

Data Engineering and development of DWH solutions
Hands-on experience with Snowflake, dbt, Azure Data *Factory*

report probem

[### Databricks Engineer](/clickout/35b577af6cf83921?ql=q&sig=2d680e164ffa9cc52156c4d580ae6b7edc510edd&e=kRA_Q3TcJxOFX8ztoi1UlsPIeGqgs1_ZUhpZbEG5y2jDyJDK_MG5AvQKwM7ZK60BeP6gNSP87wjjpoReLboFojQzvnRmu7AGwbYgl0Mbg6gyzR2pf1cGqsY8NaXHidadFc7JI_ol6cHkmwxiLkodskdxlEkNsYQy7gjfADS5W2iCNirSLKyyC6lgH_LWfYFx-wt-NTbic1Xn6VzDDuKy7awGbLp4lpTAUfIr1obCysKpzPbhX9NO4EZ3nM5oXszpMReTCCHbaI5jbYB4T8rN5o9yr1f_RbTYdIBIskcM3BkH8BehJqWWYkvNewl4uCMhcXao0atF1qbOLy4R000-E56SPb-E0y7WnW0oBMfLl_h3RxKS-1W2N9Hj5H7Kfk4OiPefTPMSmq_IOXVonpVGwLvCP91oGN4hwoACGVpko8c2atKWPBYunxm3uzdJCtb4tyQFwDNiIxtlFTfUNaq4Z2h4T--LvIhj6sfE9GhRb3Tf44gc0LFrw1yyadY5EnWaqG435dkNipUW2Q4sTSGQED3g5QVZfm2iz4d3r__7sf3IVJjj7ydbre0JOU6CQro9TyU0UbJfkQFFLsXjbp0hxl5JFQrMhKPRQNuelJRqtsUSFIcqp-eqcwF1JuWOKrt1gthuP1tuwwU_NVLvJ_4wKiWk3dHk1T4eKmOYuK9G5YKHOMNuMO5XxloK__x-KQ4y0DYojfYstNx4yjEz8b2UbJHuEJXfBk3S_9s2hqe-jPYe7p9PlxBzG3EU5VksL9Vp0OL3qiJEK_1MQYk1v-47LR4rV4CA1GiLgBq8XDbSXTu0vypeLDqHAI2te8ogr2iG2HQDPBMUCxD6fmRIv9OyU_amj0zxu8nk1LIVRzHDK25vZT5_gqybEpy0yICPXUGwqYsfknNoUah5lC0kAUUo_W9vGHkvqjn9LrCzo3CUuo_li__Qgr3mAbmvEpxAPXLpEYLLlbl1OObLkdXlHL0OLhvIiCd6xQiyP4NYCYUqzp6ztKmjum-epiqIbWDIm2Q-MGUoprGyADNDTyOw4AcwAY0p_TMaR5bNW-JTNgb4HPxpUu0BMpXLy0vE0N145VpBO0GMCrHUwQhET5m4c9-JmodFpsYH9qailTrdlyUj3iv9evkV3-qWqSdUlINkysN-BYmpXAtamUHND21l8UdtUpfVXaDexoWS_oPFSGcltki5MJ1I7YY7ibYef34_V4NM5du_G8X392VtJTW9sNYtLaHez1_JvhMSqgFF1xZ3rzpRS7we1Xe6jnWi8IYe2h31SnzpH6H-hM4aAZx8NmPJS2_QbvCqSt-4JBJwaBZypO6Yzb3TjLAB2XgJvAQf-5m1AEIkEoEljVzvzxhORTuIl5mHiX0Dv9haIbu2WZNnSKl0Km-H6PKj1jyhuCtnBgTnehlR01yrw4GxHIF90fDKjRzb4GI6Q3-jL3YfPY4K7gsGXSzp_k_amgAH5t8B0svkL5IlRkwE_Jbifzb3-FUMhFXJyumrdxelzQSFetaFAQWb2xzZaAIuaXMB_ij6ew-NfVU7c-_qKn1AJx71K2mWXUr1oOSILL5XSQo_FtLHiS4NP6DKqGUZKQkeTJo8qwNpMFjLEwKE0v9-CO7FJbUTv27arRhUaZntGfICuzvr4ci_-x6kmc7fFRuMD9W8IYAXd24cU5zRgbzoT9NXZ_F9CRlRAwlf5K_quMBOyZUnXvAA7S8jHC8hFYrukGa7XK7OlmAYC4BsAZ_spuga95ts1nJU0PQGcKY9-g&prev=RQ616890AC3CC938)

* MW Consulting
* Kraków
* June 11

Azure Data *Factory*, Data Lake, SQL Database, Azure Databricks) Python and PySpark SQL Data Engineering

report probem

[### Databricks Engineer](/clickout/5d2d5272abe86643?ql=q&sig=3360b65bc13c9e9a8b6b4b015d275a1cf71fff72&e=44G21QWV8DRl6AVj0iw4dxd3lUbJB3XxgVdZsuU6aan9P4hShACgyZLfKxfank-UEnqCZ5MZSwm67jdmwqDZbwKrhT0OoW6ZgQxKSIy9Al5_QHtls-s9X4KgA1e49IcxcjlE3qFvDJoieic6gXR34a2SXjuCrXZicTkpSAvUnHBmgloaPo2k8f4z-CgvJeeF--kKVlOm5WcgYQHbUJlaCSMtanmkBLWpv5AAcrABEKq4gUdhQVC59ExjusdxZVcHL9fRkj8ZUDnzuKhUXxFBRrmYZGa8h5o_DRGb4wkDC9RLRi6wmdj2OsAh1OrIkzW9xGY6h4LW4B7VRLPNKWNGUvnOqokOZBT3tGpeRv9nVKXnF7MlkE26tWqY_TPToO_29v2XcMgbT6HoHaxo5zQhRwmjEJATTL4ARokJ_dbTjMZCDcKklDF-D_WnOAh-MgTm2sDGBavPEEnw-ZiHnmV4CV5__6ePy2y5ZX3Dx6q_nYEUL8sunEzAG1HbegikZL0x0DNK9i5staf_Jrp_pmD3mGSThm4vQBkGhw7WG2YOrqyqlxq7JqWqRvpquQff8lIBAW-YeFY4lKi2Z1m2JvQ-8mlWNlBjOCA_FXioaj4jQs6HJkDN9bXsp6AZhSeaM3_RBw_eF24XtEKzxIZ46RbZvNZZVSdmswcid77yp9LXS6kSiVSxjibmO_s1XNA_CIutEdyBOhgUZpl4jSF8Waio4LVaBGUxDg1JFhg1i4pg_H5t1C8YCEPcjHlLnNusz2PjU2PfMQTyBMZOsvnUarVPsLdyPEFdK7oKFW7DCISXqQ6TqPWlJd8zUNYb-CGt6mF6KD48-nwbMjKgtWb1RS9s45WU-mB2y0KigV5Rr4TauTv9TS8iSPMbI24GiL6Dwnz2oHgZl6w0X1IWy-T__2csDH346d843YmUhIDHC6qp4XkXXr_tkMxS4BGZCBrRXTj1b1ZTMMnJaHwDwPfWcIuzUc_IVJ4Tjh2ZBUXU2qznxyHvvDzGotaSNLijI7TPe2gSAIRoQzDmc3vmOi9F2mxjTs1rRYBhpacFwv4tuQUbb69lVAdbKPCCtKA3uNYhL4VREcnolY8R6nRLVABmnmRV3uHPyR5S9e7_uiYPJYC4ru8iFI5gRywhuFIw6e3hHS6pkfk6x9azz_rTUvyDj5wdbwKDNngOMkHoVRevEFITE_pdKbGU4Q99act4Jm35F9Q-3dJWcHMVptNQhiclhZd2Qp5PjP9-ApdGLctc0KQRzwR2hcfvBEe9GF4g75iGLS3tpsw47js2lqfgc6SHfmJ24ZA4HxPua4nZ-wSeHKCUChTUqtp5vURHZFkR1DNKGX7FhsTbQzOc7WdGWC5TlZ0pqyqiyrK9RgWUBNgZt6JOLi27J1S2s6sFrPuzXuryBrJ65PTFl_URaXhRgPik511NbFI6iYvWSAafkhJZ7UnNc4WvZ1Y_B0ZdUnuvqWUSq3O-Ofst16RBVzadPlhOHMZfB-O-vHk3AQvlX6j33INGTEzdxXpLOASZiGqyx0RlxLqf2fB8is3gOHcx8rwZSOsmLUQ51ToAn1fSQQYznNWkoLvZ79CuALQqNlv13KaoHTW8S0yE9VNWWH_ixTaE2BQUFZWYIT9iQpem6CZkwp2l-1CTL2cr5pLBCJnIQm5_ZK71xz4wD8ecug55w8ewR0MUNl3hkpGcBVeciPpImtatPJpG4ldtbEMz5K-ZAKiw2BQzgGQCQOKB9uz3sl7AOfWWJ9uzR_iz5HAH9Q&prev=RQ616890AC3CC938)

* MW Consulting
* Wrocław
* June 11

Azure Data *Factory*, Data Lake, SQL Database, Azure Databricks) Python and PySpark SQL Data Engineering

report probem

[### Senior BI Data Engineer](/clickout/5be507f5ecd27848?ql=q&sig=c120d02dd29cfeb5d976a46a2c0e42562532c74a&e=2R-LRH8actdWnY3E-3FT_7Ewk0Dg-gmvSAHFZ4uyx6yU07gzfEgBcPpjxue3wpk6H-Vc3giu7c9donjrnzOhD1TfMQzc0_TbT-NQ_vlCv3_TNhHqJqwtk8drSHjOMbtJSGdVTOq4LQLFrOspS3EiIkGxyKTH3x3LhjX407VjoR4c4tFKAm0u4mprExh2D5JmOGCyba7SBgKc8_t6gdculWjAgxC9TYhBUCpwvHWc-PDPFTGcOr71bPrgjasDJ2pP54-2mYtL77qUGgS9-nvv12s-iANJX1gsvlFhmVFYU8GH0jdcSCy26114t-GB7PsfqPCc839-n0XsIXJIEPe9sUUk8mlnPH5fhbvJGliCiMRUOmp0QudB28DGh5UuNx6lleCptDVM6a7cTfK9BkrMAi2tXMGaCRxERc-hbYVZIBL4XW0ydYEER1e98970hJx1YDnyMLY1WMrtqKn4YT0qBb1nrv0nWWLZVPp4rnG-fD2WCZAFPV5VSzMrzPwujjgxq6d_5tmwF4JrA7aTMkRmiOdCvNYgXTEruwfFzJKbrfXaYI9NRxUlEU4x6J68Sg3s1u9viraS2-ANVhOaZMlBzfsh9WnazTuZMfAWplUQmlttvyTMCm6MUS7XwSlG76w7vvs4PNB9Ry3wnSz0Ev23bigZJQ2B24qdVIIcapQrpcNwI9NsfrbamthvG6iFlIzHaEB7S7AQCL2P4RKe0Y8W0t4x7wA58wsFoLmb3khFXN74KGQcNl91d_mqQkFULbwKv4-ThQOV0BSgzPpGLQnEWYitcI_V0aIgVSGlkdvfSfZPy2bbQNC-Vr9i1ThiMbtPlzt9EROQ-zsxXPjmIIBRyPJH-vmYpMGzCnmnu2qPP7NFZz3nkf8q3PjzhaZcG5QNVwI_81q40M234e7JoZXmHX_OzLaO5CasqUSpzx0EJw4MIvg4UBZXAXM5zo6BjvBWlqXlTyfhcO1hjEw5CIEWTL9ik-1BRXlSbjHRVZUyXdkab9J7k6gBrQHhDSWUqPzdmHTotWupJYFI5mU7ELfzFVpNGBmHqBNaMQio0PzHCnvugcxwzBSAythSYbzAKZuipt9pCem-rV2jPgbuhuB5Xoj9_8So-4Hah39hNEaJDSNELKwWoFJnrwLzw5W9SJ1GTQTLT1Ph7mifh9yCZxqYBvkNlzsQQlrtczVLwEWqehpwBi7o6eR5sMi25rpyf6nJBYMHfWkoI-FJEb43R9zaTApokW3Fhy0RS0jAjOD0i72b3BWHH84F2BpBaRB80oMeWCIyh83Oc4u0SFhEqH1HjgCRj2dZQh74pFweeKtYeXCFQU-f193T-vPuR42_tmtWgy5GPhZAaFca32TO-PFKg7pU2_yJ2dYNCft8NoM00ySKgZ1Bm8Bv51ivmrgCrAIDTUjzP6_HCVTlFs5mMdexSPlomOjzeyj9PemAAU4LbpIXPXsOItWFbW7gAsJu6SZGszvUn9AjrCM8RPiy_h_C3SdfojDTAkDcGz88Cxee9abYiYc_rcC2AIKBcQRA0U-bhg00-hFbOq5MUnKVVzsj6v3p81fYkD592wiJf-LW1lky9VJDH9PEYWlKeUXTGb6Z5SeqMtct5hHlfGTSPDU7N2qfvERyPT1ZZhkPQSM04s6oSgabKnI0Ytww92F0R01cAWSAiC2U05Gpi0M74PHoyscvTU466U-zHuwvwtQ3RkUHthwUPvQVkA12YJlji7qPmn61klvjYHTkrPeXRCbvLhKZ4pBTP4l3_EqItyDi2pBy&prev=RQ616890AC3CC938)

* SNI
* Wrocław
* June 7

work independently and communicate effectively in English Nice to have: Experience with Azure Data *Factory*

report probem

[### Senior Data Engineer DataBricks & Azure](/clickout/2ac0d7e6a292778b?ql=q&sig=dfeb7e7b92c5138fe4e3f606379b2ec74377447b&e=5o4Hj8wXGVCq36vtZiWxj0GVOyIgamAqs54FKapugtAPyvIWPVXCzywgwmwQJ5xALIifpiP_jTvYCfPrwB33wOJFGakvXf4ZABNaUQJe1dV7nHA3vBYHpuFK-oNyvu1JQR_wtVmTi0x724-IiuC0PMHju5LmSMp4jMbljuPhyHf9p5tFbDIQhU265g91cqwaslRVmOB42QY0m2mEpb-2ZAnoAL4LBjl6Di8p7BIlX63Gc5gCd-P19BUkV7HNd4fwxwWvnITOcdYaGuEM327aEfi0vbnxRG3mikFomJA9ydy3IRWlObgIXj1WIQDpM2r8WXpC4i-94XSke--SbJ3-MCOs1C-vpBAf9YMXxVklTNNMj5sSkHTj--GNJ8ASuLqZzETWUHz5yNZb4o2XIfZgszj_w4VI3Opy-yCZecg5BnPetYZ1nfjgtdcIgNqNtBPB1lo0mg0ZcndCNckucANW-5mT3vgkT8JjLT2l1wAzTP50QNaw48ZfCeQKMYyguZ_JwwEt8sTHz_N9L1sW5_Bse-j0shXHp-TdP0bH7MHPMGmnUQ5t3iOvKzmRLS7xWu2dQ9yyTzigxPfybb1vwQ44mvs_pSDAoD7S6qPG6zJtJQ6VsbhkymW2gLzmFruPb4_XBSHaVmNBqDUT3D-MJBW7Jt3J8BEVGC93jhQKEXgYaFzOuAJQUt7o7lYGBBKHBBihO1lp-BsUeWqBfi8WGKq5pokOEvm3kxhXuHcdAyrpkurE6Tw8luRElYaS7VIy4CXXLsUq4kgRvzJBJLndvvNF84JcfsZuIn9vDYD0LNQBRODR8ORA-z1HgC3nZFcXaTV9_KaJi1YtVZHkS5w27AChIbA40G2ZPGtwmo-TPvGim8x9C0VAlGtqvW7Tyq89FMQcg-oCRtSnj3JbnY7nkZ9lDxOYAby4BeCRVML81X7qnBd6BS1eT8-ZMsV9E_IQ5RpnveplB7JvDundbeOavNrm1cMtPLt0QnTb_bFpvzhhX8cbNTYzcH7z7i1DMb5zpfE1vVdjrlp97ZI7kpxjOLDuv_82y-XPTEBd_B5T_ppALcNH65QmVJHsGb5smYeAV79CQ1DyDLyt4SUSo7lmajgwc-58nB88ZUCrfntFgWZFej9wTLi1xOliV7lk5oHS757TEDKgdINSU4KicTwKW2CU-H_egQo_xvSAAOXbMly7-T4xy7DSHM_5ttrafc6PetCRtRghBsdAWn1QUPJlIc8hKFsA27-mTN577JMZADtuneAK8Vc32JRzFQnCpnSi8xMh_p8i5WIoA8yAI2IytIJHnHgrusKgzOIMNsPGeSryZ6mmgHe0980o8LixvV2EuKWDYbZFRssgYzdPRBQXJnqe0v2Y4BSw78Fd17-piwC0aADOuLTnxTCTrhGJjqVkQStF5ECeQRykXRsCUAjmGoSVSgS40YKbGe3n2Sco6UVlzDzCP-4jqZ6c45l4RARdrOUt_NNt834chQ_OZrdOiFP0W3YZBz7xttOBSABYtN22IsaVKj8HrhtssooVBGY_UqUNEaxBxs_Rlw0W5G2FRIz5x8LZPNPriPMtz6X5Zx2yaXxJ_8Ws4Jm36nv8VhfhONqBWtAEUF9FUIxHaAkrW8wWreLj0mI7Fr8LvjoGmLR7g8KZ72BRvEit_-XSElFZEhH-1cyQE2zPo_MEqWFiISkN1UE3CI6gwTvIvtEu57R2ifnJQXj7SgptXJWkCkI4AegCK_Pf1K75hgwHPxgWCaqBRXnPoiUpn_tN6F2-wrrt5o3PhKI7-EkouTOd-BymldjgOCtqPQMl4g&prev=RQ616890AC3CC938)

* DataArt
* Wrocław
* June 26

and experience working with large datasets Hands-on experience with Azure Databricks and Azure Data *Factory*

report probem

[### Senior Data Engineer DataBricks & Azure](/clickout/be17a1a185b05d7a?ql=q&sig=854b49e4042f73db6cee3fb7c674018bb79f770b&e=eKo0RqE363436aCxbx1WNNvHTaV7kdaD-9r5jwH3Rvkq6LsZNjpQxnZBLoRkwFsbBApxFgBoNJe-BwjtDDabi2A1J5nNICxxq6ObZM1lrfxHlTwUENh7TGDoGMi_rLdO0Mb6-B6V3rjgiQaHysSqh7i90LIvCF4nOJT6dSxIDLVw6QVBF9fcbE357F8kWABSWizHa2fSyMsoyUajTPGDraMYaTVmywziEI2OA6Ut8tHHSmdxOT9w7XWalKvlDW8ytdYr0jY6CRNqE56I0mcwgGQOV5yvmVsK2R7eKQ8lNwf5E8R9MsvhkEgnFyl9p5ftnsOUdx9HvmNlg_KRUCgB4Gc-3_cSQXWFNSq7nnhMtFvBXuzWX5s9O-WD3tLaCS-AE8n-c9CZaWzvB6oK7agEg4SlB1wP_0TVGj3pPgquH1IouSwtZC02A0cFFcTD0irlvNv9FOZsuoiQDBeTy1SIebZV5_gqvgGhO4s2ZJkcUwAIUmnBoDcgYGw-voozaJ6PfFuZpixg3oKEmo8VYNJjGJJSpLxuApaYyN7Ww1vgqDx3Qa8-6rrvlU7kEmYJFkm68ryeW4ecMv3uGvueKf5ZbSssZEWZT29VG_ViRZowhbH9q1qwv6PjA-bZNkwBQTqT4ka2I9bmEP99xYIQ_gYcovv_r029QNB5019TfP8oftV7hbSIYqUZLBUApqVBQzbsrFnkqcwJG9_v1RTJFcIjpvkt6cXmApQIf5A_dgZu7niA6VIqUjLdNeEeB6UlSyBRTuJ4l5TGOb6D0cwi7pEZZ18NDlyRkH1_CZSDMd3-2s9M5gnjhqWNtLz7r0WSdg9Tw1_r98H_yXA1ZcyhZXnHZv0ux6fUGg1Gd5bag8UWUadNdubqcYhZdNqgR4CbgHtxPzoJCNADkBaLeRfg_X2RcFuz4nyAo736dawzf0lIg32P5vag3wrXJIemCJxdvvFqoXVQHiLGPfMyVa1wRM-wj66c72o9Bxbkhe8nZr1PZDr5NCfg7_-8Mryz3Db8BhWTjaE4jc8v3DIgiWINfAShhk5Km1Tr2pZ1oKUu_N3H7Frpk9psQBPpA0MUc1JRfkXBMwvSO8_SL_eyCKE0COsxm9KwVDYe7BfllDFwz7FDZWxDhOfOmAye1zTh8Y-j3RsevMfj0RpRyILYBPnlFVmRiHp83o4BgIWC69HwLoUmRo6deMMPA3Yu0SPEj1E8trM5tRBh1rM1arU_SkYeHYD5SGlY2bITDX_T3CZEjOXsJ270zA3T8lgMgqRuZ-yj-qVuWmUyZx4-Y57ZP3lH_hOsRfhL5MmanvEcSdKu5m32_tbED8lmXegIDqm0OtabJwpehWL4kWilRN3nKa1tOCWjOu0J57_KXcI7HempklJe1DeMeBywvtbmE49AklEj_9uTXoJNKkv6Y1vfBwOhSzrBRbJ0iy49Ir-SG-2IexraHdRR7bnWObPa6iPKujt00BTD9_BJdSPPcqAj0G-9y8Lwdbk-jK9cNwY5TM94IQnu0BEbWtGYBjZl_NheHV-xZjLpWZFjE2nfCVMjzhC1JG6XvfqCIYQp84TqkeD83IBz-ctokbbcfMMFWLYStfzpTAgnUQKb_GlozNkCy4_Uj-7wE8f4xnHUvjB-Rgr2gpYy8IsOS890f68wG1Ae2ZmFfAp5bELishdwU4W9IsaKGMueDAoRt2LRUhgJl79QKClw-ucHdoK-R7tsQlt6SYHyZZy3SmURePa7R6ZwqVnWKKh24h0Ro3LJ_DcqoifcFSFtHcOjPmjI5DyYWmevQyZ-pZocIKgHyNYKOg&prev=RQ616890AC3CC938)

* DataArt
* Kraków
* June 26

and experience working with large datasets Hands-on experience with Azure Databricks and Azure Data *Factory*

report probem

[### Senior Data Engineer DataBricks & Azure](/clickout/aba50a4787f8e3b0?ql=q&sig=17bf3cff076a1ec5d1b8dae9e2203f0e1cf4f7e0&e=_D883d8gTbv0_G6CkEQUnpbJlEwek3Q483hrh1kV98KjY8-iUj-2woiMldhDHEb478hkO6E1UUKPDMEBlpdxYqv_OWcKL82tslRsDttMhxJgspJfxdKJQswhBWLuvpS3cJsq6L0KYykG5yECfRzcfgdJANpZzo-rTBV7T4I2vsio18BzSrip6xZO6n0kKBgpTwRkFx3sIVVqcyehgNUaefilT3f_vjmx-OHQZFdr5MuQwx9aWGEbsebED6aZ_Q6JiDa2iQJHQDi7gxBhHaKIBnqH5jCnmd2K86g_1xpbcIvfHYw_A2wg0EyyhZlDgaFHlhq9WNRRyqRm11Vmy3-QgikIxsPwerlcsC3fLEGhiNfSqjI60N_riJOoy8kR67sGjBsR23k4tXSw5WGyT-Vz_TJKNFa1OckhdciqKCDbz9eLIM0C2q1ikrF4ODrtt3rptLGPU8dePmPar6bWR4FHJFKEH9hBHZQmQj1_zk3AUUtON66HwR05R2CnYKhja8dEa7GHmdL5KZ1qrV_zIR1s4FU3yT73xDH1fjRP0_tEBqoBWPVan5DvslkCGxUXGd-ZZu3GkGCo8VsJR7qAIWzleSSYOCLKqBx06wPDRWVcsDMgYf00kGeVntfQTp3v8htLBf482ywX8KlLAIc84EYOUxIrgrrGRRUEFr3a9P9pIEH81Nl8IRuh65hDJV286zsBr0PxQ6QV2gwS2bfUv0yJ7zLDRKNeKMw4u1PVTck2UskR8eFuVyekYsSf8RieLbwwkFt_9iNx4S3xSmS37dKAQcESncJV38Ikl7cYZvBkSdbrw1tr8Ha4WYYcltNMdag6AjY3FzeG-tL8EGpFlel_Zz5tWooGjJ1rc2ZYOGX1ZG7DqEI-cfs_D7zqqjF6nhtffV8JxtjJldtErEkdAL5HZ4fI9AuhNMsF3MjQXV_qBEbe81_tn_IArHa57eC5wGlidYzHS3DbBXDIFXg0OW4m7rd3guZeNPBY_ROphIHSgtHTjrzt4MXLZajA0qeN0u0xAa3KYPLexTAUaniZPnmEajxxLothjHZq-d9q1zx_HZ8kE1UdX9NSStRs3xjr_cjDUH8WwV4RIvj8FfdN_9fRQq3H0Iab_409ikX0ew3vQQWWIeDAbSjYBcCcOKGTWHV-qyjnUlw3C9B2IkbvhECbv_jEpNH2PmS0k3O_i5WTuoTFhwQZqZpx3g9EJCKSXkuj4TKXqPwAoKph7RkOYXzOB8-KyND5ajgVjW_OD13hJRqIxIpYrETnTvXDe_LyjuF_wsLulf7_yyLSE5K8oWyRGtOfD7gjsULMEBNnottYNIGDE9tzve5tnse6Mjs3yS9TSKF1NuQxX955tYmbP3WEA2_gfJQXo_cHVL9Mow52CjEg0ju6GFgK_zD3g_ZpwXt1L_cG9MK7olrYkK2To49hnJzSonW1-7S4IrDO6gswC0xBEKcCEiO4g8wrKczok_rDHrH67py7QjRceJEWbFrBPsH3SC-K2iP5T69m6wJLOd_8sFzgQsH99NYyV9MaXrrgDdudu54h0ohcr4EGpjDQPOAezvuHdR8LSNjrTQngI91KsdX8C1Tq4jaiHwC3utCkYhcuckIu7qZsYg_P1GeWMehriKYwsshOHkkWe0fBE5EhG0rprzbnrkf5kMyXu6cPJ8Hx6_RZSd5_Qh-Zr2rkiRMF_dkOawKOeeYJyao3Gn0JNnQSXmKfTjZQ-fCWMz3p_1iMDzKMIhxFuXekqD6DF4RlHFKAQWsNGQU2UYSj26_1gr5enLSMp1vETDB2q4-mWpqDqjkf&prev=RQ616890AC3CC938)

* DataArt
* Lublin
* June 26

and experience working with large datasets Hands-on experience with Azure Databricks and Azure Data *Factory*

report probem

[### Senior Data Engineer DataBricks & Azure](/clickout/6574faa520af3431?ql=q&sig=a8422eca90c946bf9e42b2dd0f4517dff3aa0b34&e=VFvkwm7MiiMd-sMCXYk2Yk6kcCfDAxD3JwFX3SUQ2d9aa18JtWC5gqsj0A9i9by_bNP7_XDlCdISBn7OscKe-PRYvjS8cshX9frfS9A_2xhPIo0v5VrUWY_O5d0OtlE4pU0-JgoU3PmpTvI-GD5qpK0rXgJQrma215d5MbnXHw8ftZ4-wRbcCTsFYEb4YsphnlOBAD5vU-tu_IpXiV5pnlS4j_FkA-wkKcqT7Vw2SOzEk0hblqb6vy3aZxYy771VGDM85LLxw0LaJsluG8ha0UOsslcagPHL-UhSa1GTYp2IpS3Rwco-r1GvNdtsUD4jf52UxhDWA1wZRAJ5Du-UnvP0M8d38ioEjc5K4MdaVVJNGuAE1eiNllrQc2-Zw5rTvO3GD-TOlWio66YhPcVwUMRPQU9nzIb0dKdNMgAUfbaWPqWH-KCU8QCiVHtOOOwNm7eSAr-LR78WloGVqQf3Kv1NboIw2z51hWmfKhyzVuyG60U37GRpYclFnwHww25Th6dlUGbntRCWy8OcDrw1dH6oXdn0LKznUybScJaDpcXRk14DNSjAWA76llffr0E9aCXOapZpmFRXEtd9JMGCWdMfLU0Wkq3ZVJy4TTnvNIC9L2cHPurQuRPUFDc4210QcpRDiMMtSvIlVvg_7IxtigtdBPP-zTKFOeQADmN_6p_nwzaLZ9INZcWsQ1uPz8NUPmAOKEyOsrMztePvTrvAKvyi2wsOL7DknmqK6oTiyvFUlSoaIXj0x5VsUZGWnL0mplk-L9LfZuZ8AF_wXbZkBawd3o6H3b-P696uxsstvdqr4I3G_jwofa_6ti8777BRuH2RYheE99PiYr6ZBBMFBwCYGMqrHmpFT0H7kT2bxR7FUsgZdPdOykRW-5AUhI6R9qGOEhBWd4A6hUdQfh3kOcSnNMX0ywvG6j7Dhu9iIl0Xk8a7UDoGU5HZQmjhuoYd9kl2sgj_8F2OumXPYvPDH9_tggmQakPFBjK-d-jV3JxOQ5DK38RX3E-pAqd5hIwTKuch8wkzC_b4yPSukySf9R9N1sGRRTjtlT2J1xwvZUlO6eVrYP_pz2uIyif4b7lYltmiN-tlidyQCnGPZT_okW70tWyrawADnxiGHuLspBXPrMJWe6AtgR9L2PetaDnVdutcuku-qfjaJq8FPWkKJ7P8Q03lDVo8crducy4PMKbvoyHIbqzzLc8xv5NhuBqtTbMc5lHmaPXS4rqvKcpSTnPz9A-9LxeyW_c88qalxaTSEjhJbtLZg4e8kAE1I8E0nlzEiT5xTnjtblAFjQR0yPqWOpiqSS1PPGTC_F83iEQA6hZjuzRl3-UccwSE2SCLCVLi8u7RGemJts839hjVLdZWEI3xT1wwQ4NbUAnBo7ZXLt4x1r3adUs5wsdz4TqhdN-r9r0YzDuL2AR7Lik4RuPpVTTNgC9BrDz8n1A34AAvy4fOU2_vKDijzWANtqDTljdgZWNKW7oi_6xlOq9SnB-AnMaiGhEZ9rWitf_pm43h5sxq1WWw1lFZ1GuRUq1q_s5JmuUlBuSR9nbPWYh3fsZF_E_BvnPNT0H0MJO4sbX9Nki_yAfEe-k-cFrSkkt2KiTXSZxKYoQM14s5zS7WQecuhUjC7JP-OV3SBWlGRdHms99Tzms6GOwNatj-QJ7V0HQz60jMq6-e5NQdQgtwQFRotrTc_DgGC7dtRRg-RHFx_uBqQuxoaxrEnkHNUFltAnrp1tsEGM_czwUEl1n167nbP7Di6mp8B-FgCPpcvckV6ZfpaoFpOHAGecW99eFhuuENgwxbug&prev=RQ616890AC3CC938)

* DataArt
* Warszawa
* June 26

and experience working with large datasets Hands-on experience with Azure Databricks and Azure Data *Factory*

report probem

[### Senior Data Engineer DataBricks & Azure](/clickout/f9a0c8b61bb33cca?ql=q&sig=2213ea339b8279a15a032fde32c16239d9eb4c81&e=U2VFO-1BJ00VK2lT8KHCzqgl7FxSIpDEmyvEQtSMGBr_Rge9VmkjUZzLzS2FAR5GD0koMWbz-yaKLy7KNnlu3tw0hzq4hOLu3a5aXyFqVtCwZtzvBWmCcdMn7iF-B8oQOzmHCfLu0Njy18wl0ml0WgG4ym0bN4xggkfqyLPBedD8vE_cn4qP_LS4AJ4kjCSFacZWBW3hH8SgLJtYDsN2PrkIsc420VjItBfoqeMZmheKxr20kH2efxdSoVdGmAVKiZraeoq2rqdZw_ZPVG4_tR999-BtxqEZYFosEc57y0x3mzfIQyukP9-0xDjZ-h5FNfFCE3J917cfZMqVy7btaCfAWGxR1lrQLP9Z3YFrlzGb4SABfXG-deAeF0fEJ5m-6eIA7oxfPbGnO78H6Pk2sSwDb0G1cvOnrOw3AEkR39saZhvgg75OnJ8NkquGQE631uPwqPNZtuiTRLjBM8Rp7pf_7haLl_OPciQZr0I11Uhemcpbw1RS3X5gQ_c-4HtUv0iKwS-wxj_5QRnSsVP1X9EFIBvB_R9LufcRuks3csUSisuHK8dQL2Be_EZHHXtc4YeDJ8jnjDqCCisBa1VsT3_tScwGXSI7gz-gWFJGE7EDNIhjTe4kzzlB7aRTho_XjCOK3WY9zauVjnozm7mhwJ1r5J3bDzdSChINm1I9YlZVWzkRhrs6lRPxhrgCEpULRv8TWZOjavUp2gBRYD3K_F2WK_x7YU0KrBW-bu-V7WxOm5bKocfzZ7qoyETiPnUd8KSe3Ewlv9fK6Q7WeNlb8crqSulviFvWBSOKcvlp1Ep4zCUCTjPuFgSbKiTr9yFfRUx_DFBhqvXimxgJ7qAy4aUc-OEkbEodo5AG2OHeg4HwK1ucFz1x9hpa4lawE_J8h-uBcY1JNKDGiR0x43gc56bC92KOUM8rPoekPqhfBzMj_ZElrxUUJ9uMH-pMH9rZ6L06uX6M1pbbmQFsUkV9RTHxq47nufELLaSSm4hQPYKMB3_QvFx1OpfWFhYlwmpVy0zzJS59iDcwGPxmVmBZ9mQvN5Ud9QtLhvBEPIsG3ei-3Q_ieT4bQ0Quk1TXrTwYBjiTgNchLuljqwS3NFdpDZZh0fS1pPDFc2-yZQncirUSfTcirk_FWrZ3pipPbFzmNvrvrVvOtvWGrGxqcDR8xx9TUmePfyckm5s689-64IpshSqSrsiJugFH0Q2vDSJTNQ86RaUFg3XFprL6Yw5sYPKDKyAmqaGJ6SAzeleP7eowTs86iYDH74eV3IwlnUOIq3HLsLdJ4OqKWBjlAHsxkokOfUnRw_vTWc2NWA4cecOt_GCKuzjdVX-b6n1uxrn1BGUaqh12H0Ow02sOqpLZKarwi6MHcBSa1dFxJmzjIF8Sy6MDja-a8ItsxHRpdHVPWyzfUyiz25ePjIGqINB-Tm0u3iDtyj91ApzHBvK0WR_GqGGjvfoWbGval4yPpnxwxzNoaujLHxBTuRpcBppyj-pHfJHTgWXNodq_TpEm4atJNv-JibNZqcimQ3gyktTSTIpeW4L8FmjPkUEjC4ZBA8DhbceVxoAeHM6JG6gqNj3BsmxwxcqsMW0dDZKN6nS8aOQskH8yGnwwhaPRB5zb23hDlYmllT_j9BQfrjvIstnCdmqQYCDGSoVkisAxIpRYsbo8iWnOA95GKa73ci1Q4fSlFeWY04mGhlXY0w2_RnZ8IUppISAseFRh0dLEZNDL6pMKFH5Zleipv8k_QB-KPpGPbsZS-pCSZrvOA-su3epsZKIeHeqk86gMds9vwlSJ8w5zCek-fw&prev=RQ616890AC3CC938)

* DataArt
* Łódź
* June 26

and experience working with large datasets Hands-on experience with Azure Databricks and Azure Data *Factory*

report probem

[### Senior Databricks Engineer](/clickout/c3757678f5c95770?ql=q&sig=c356588fc22880353143facc79716ffbf68a5d26&e=AE85Yv4OxdFQKbCx86_xz6nu0Bf0ttfcPwQZmv8LyzxypvXkJDElYuqvVR-bf0TvVkNcAxxchVB0e_RPq4-YnfC5LTznWvGJB8dX0jMeo_EDVKblm6OY_mnX4idsVmp3p4ZC9EPcfpwmeWq1KuodrWTMQfqfj4dU1iTchaypGXUkqBBL9l2yyO9SFx4_U4_6Nhf-UL9in3Me3yZZgQObU6s08zbOHvawVU5e8H38EXevLnrq4t8g1bSUlwEWpvsYK_6pT1HtwUZLTeCeddKKaLuVG0o5TH4tw7elNGZnnoQOqZu7RP1ilSe738XpKc9m6tqQ0b1y1qfoEKwyScCRGVB2_R0iWdX0fpB_tg-fqIs_LuwPBrp4b5I2b0hvJARahxvlzW_AywxwLzoRr9A5LZ5w070TPyalh4qxB0_D3t6e_evmr6usKO5osKSMVHuqGSvgw5yun3Oqye2vhXv3Pik825Ft2ryWGLW2lMrfBcglRZtbjzE0Ke_g567vx9bF_mqIacRgOowz9gJEpTud-V5gkPmzRCI2uk0-Kmd19VyBo1Ub7WZQ-2DGvOygLPJW2U0I02P7DIvRfe5QzcTRS1O-hClytR9jd-hyzNHCtcKMt74iI1Xc3L0cLsv87iBCMd2knpqjMVSmakqNLrzxbwaJwMvxmo4Jq1wXYyv7THZigK4XHt9_8xDFGB3iOEtuv8BLImjaFuliTqqfPQOZlApZbSWlLpEpB2ZjgZV7nBhu8TkSvefj_josSZSshdoBZxTHZ3pwMFC6z8VXOG86r8L4Q9WSEQiul5CHic9_HafkaSZlZH9wsoPpUCfdHdwU60RbLW-j288672OmPH0cfqSl-gAjw1hQZlQe6uvNnVMS613THZPALnv7Lm_XcubFHYQASOEOIfYilGsj3FvpOmO9IgkYZjCLQfyzSOZPJUHMmXVnWFWMWJtDDvIFf8CzB5BwGB09mIjESbb1eswxqFeghQ5PaNlp0FMXalbWNiaPuWCtW3v8WKS9BG7HiCZ0zE2nRTIR2_bSime6qS4eAE7eMS7jlsfgoYMJnjxNc5WK8NgOaYoFWIJgzhI1ZxiMvzRULAzEWvg5HdWmycLOiz6oi2L8LQe6mTBBhsYl49Bq6-tP-XjrvRf10UzEk06DJi8w6B2z37oWeEiCb0jnMahdHaC5D2wSWPLpYdbYGxUQqdL-FFmeBlnFzfk5b3IBueQKzkO3UZfU7GVhIGOjSuXH29MSLUV8QAIkt4Ix-tyMP0OzZUtjxpEW_uTwsMaGyrPEm4X_vTL4dGsI8PiTNej9onobX4fSKdrny_C6KPHIyRYfeAmpV1T3VCG3JmO0B8mcpKcex83OKdnO2qJtIctWrdRACTflgeM0JPevdBhKx29RfsW0uNc0kkNCX2AyIJACv69D838sUmMfUudpuVxmAcQXOkok2_yrhJqZHR5y5ptvf2XnN2WRqNA4XhPSGA0fRzJnQv_mxBQ1a_71JHIpkxpmQ7bU5ZGpZEGMAXjo7Hwe4fHen5ZzGUi8b_7WaYgT3rdnmXVRAbIZASAPkqnLH_D97d0MYqaISA0LclYMm7mS0b0lxNrjHu5N4U04a5RE5Y6HvPzFQnQZ9zjbz-PuWFompeAEaUZisUYc12ZTdpokcoUU4WP88Tp-4UjkUXGTAJFKUAvvLq0Mn3uB5GuTfS2fN34LOjnUkqPyHPcbzqS2MXYz9NeKvF326sv8MmBnHMCbEe_YiQMO-1QvG-j_PIyyggxFIhww0XG13znTlA&prev=RQ616890AC3CC938)

* MW Consulting
* Wrocław
* June 19

Azure Data *Factory*, Data Lake, SQL Database, Azure Databricks) Python and PySpark SQL Data Engineering

report probem

[### Senior Databricks Engineer](/clickout/9b80389fc799a722?ql=q&sig=48368670a1fe239b934579690adbb6928f20612d&e=RQyWDhpeNnL8XAPSquqf-5Ds3GGydLu_CPz6oceF-1os9dS6wveWB1IhWojSBs6E1yuj05WaCto1uYNJJBQBYDAOMreAx01Mjl-tfKl1KaGx6gOIQJ6e5faC8iorfJnE-7k6ldTB3lxGCYon2301eU8Vid5BqMnJfewap-cUvRUCyZRRze74XA6wPxTavU0D-BIW-TPw1xPitB_vkICjnWYDhxGuPG3xvtneJRrox-tt4LhMtrQqG5Kasz6ZKRlchODIbOBnG_wOna0IDFeB5ih5FdQiBKtrrEjsh0HOQ3-_6RsW7_KzqcwroyUE-6WC1oq5jCglU8HwwjmopSo388v2qoenFb37Pm0DucpZGKGobuObD9SdV1Qu_xYQ54gJn6rm2yWpwAKK7LbWmQ4gjy32H462MtMM2KmkZQIp6mXTe1V_ZzxhRKZAJ4skecJDZJSsX6mAxGyRsgGh7IJB9hEAbU5LBJc6mWi-7Irmfi91nzTtMmRA7hOpd2NSTU2j0SIwCoh9RaQRJckMBwhGLLNc6UKsuFHm8coHAM-46NeIYQby75r-KJeWa6kF4ouXjF-2D5rUWZug1Z56lcH3-ShzAClWDy9r08nC2V3OLZKEYXknZvU11iCO79TTKSw0yza5cs2AFG0iWyrhWwttU6dM5eJOlBHRCKZLx28_1EbqC2eaPHssn8UJumt6GP2U6-Ac0S6SHdAJRL6L57ftK5tTdfkSWxZFt2ms11s-lKZr6vzKcTMGkQfVcPq8Bv59bUk9mUD24wX6CD8F2FYA3S2uVa4TZi7tSJKEaGsiOrEeUJekLW7EmDrjeUgMy0a8es_sPhToTMYZlqzfE3tjRn5YHkRnhadO6n8isy6RdpSAhZMKznpayZKj-2EmECdXZUIDV8pPyTNw2boN5w3UFhNWP9uDP0XElEjqEpHvRhrrSm7N8UOBk_2T790mekWVcZeRXWwaGt6TUhcqeg8XjrmstGzUawNBVqpfpqjaatAq-VxFF5fRy9kNjB8PtJlgwyNbgaRUzNjeUXzo60BSICIhojeLT9mV4gehMAuIE-Ncej7iqgpPcn8UzxgjV8IrHp6VI3s_Rpy8sfaoxDPkcpsIgeNf0UCIxysD3HVIhXGG5TBqDHA7vVr1JUGCeiw5R9mwniJuRlhQuVJkx1Wd7-AiMV4lYaS9qvlj9JQcf5AOjbPsiOmmJt5ixRLctPXrOjR7tVb8lDV_qgxQhI2jWrCjpwd0LKlhUms5QKwFlBdKaGROasH675te6U8fCPE8iQeLAM_2wCWetZb6KhsznhaZtUKG1_ma949DVauHBZhLMCcZ2uO1sAUQviQuPMMEPta1FrjD2yUcyuKiVzAGVhweVfE13zfwRsIW1_9Xj8ka8sJLWjfvosM_GyMpNE3blF70BNT1-oidqoAxnCcbFrLoLpn0P2mJZ6exYea2kFWPWfSUOcVejb8POvKt9VZPtRAyW8tsWnv9U74DlFjU299Q5NCkLFk5uyitPI0X5rtWLUsJdDjrZ78IMgN2qWIjlIfu1IVfTOQzoVFr8gBVA-nbyfuzYYMOqtaFZUV9omIC3p6C5sz2WS3Mcfao0Mpt-qf1REPJ8Xy7j1ZPE9aLz4T_dEQbPiXtO9HEFpFtBtFi8OBoExSw2NjThbFzWfG6IcyN9zyVDSAljzqju_bH3pMyf1tCdnogl3MGHytOu-FmL68r36vhzm4o7MisrbRDWdVNw1lvjep_sXI0CFSFz6Lh0tHl-TuBZwN9ggeQQtyuSw&prev=RQ616890AC3CC938)

* MW Consulting
* Kraków
* June 18

Azure Data *Factory*, Data Lake, SQL Database, Azure Databricks) Python and PySpark SQL Data Engineering

report probem

Email me future jobs like these → Email me future jobs like these:

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* [«](/jobs/factory?page=8)
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* [«](/jobs/factory?page=8)
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* 9
* [10](/jobs/factory?page=10)
* [11](/jobs/factory?page=11)
* [12](/jobs/factory?page=12)
* [»](/jobs/factory?page=10)

#### factory in Cities...

* 112

  ![Warsaw](/public/img/coa/pl.warszawa.png "Coat of arms of Warsaw")

  [Warsaw](/in/warszawa/factory "English jobs in Warsaw")
* 69

  ![Kraków](/public/img/coa/pl.krakow.png "Coat of arms of Kraków")

  [Kraków](/in/krakow/factory "English jobs in Kraków")
* 64

  ![Wrocław](/public/img/coa/pl.wroclaw.png "Coat of arms of Wrocław")

  [Wrocław](/in/wroclaw/factory "English jobs in Wrocław")
* 32

  ![Gdańsk](/public/img/coa/pl.gdansk.png "Coat of arms of Gdańsk")

  [Gdańsk](/in/gdansk/factory "English jobs in Gdańsk")
* 32

  ![Poznań](/public/img/coa/pl.poznan.png "Coat of arms of Poznań")

  [Poznań](/in/poznan/factory "English jobs in Poznań")
* 21

  ![Katowice](/public/img/coa/pl.katowice.png "Coat of arms of Katowice")

  [Katowice](/in/katowice/factory "English jobs in Katowice")
* 18

  ![Łódź](/public/img/coa/pl.lodz.png "Coat of arms of Łódź")

  [Łódź](/in/lodz/factory "English jobs in Łódź")
* 8

  ![Białystok](/public/img/coa/pl.bialystok.png "Coat of arms of Białystok")

  [Białystok](/in/bialystok/factory "English jobs in Białystok")
* 8

  ![Lublin](/public/img/coa/pl.lublin.png "Coat of arms of Lublin")

  [Lublin](/in/lublin/factory "English jobs in Lublin")
* 5

  ![Rzeszów](/public/img/coa/pl.rzeszow.png "Coat of arms of Rzeszów")

  [Rzeszów](/in/rzeszow/factory "English jobs in Rzeszów")
* 5

  ![Szczecin](/public/img/coa/pl.szczecin.png "Coat of arms of Szczecin")

  [Szczecin](/in/szczecin/factory "English jobs in Szczecin")
* 4

  ![Opole](/public/img/coa/pl.opole.png "Coat of arms of Opole")

  [Opole](/in/opole/factory "English jobs in Opole")
* 2

  ![Gdynia](/public/img/coa/pl.gdynia.png "Coat of arms of Gdynia")

  [Gdynia](/in/gdynia/factory "English jobs in Gdynia")
* 2

  ![Kielce](/public/img/coa/pl.kielce.png "Coat of arms of Kielce")

  [Kielce](/in/kielce/factory "English jobs in Kielce")
* 1

  ![Częstochowa](/public/img/coa/pl.czestochowa.png "Coat of arms of Częstochowa")

  [Częstochowa](/in/czestochowa/factory "English jobs in Częstochowa")
* 1

  ![Elbląg](/public/img/coa/pl.elblag.png "Coat of arms of Elbląg")

  [Elbląg](/in/elblag/factory "English jobs in Elbląg")
* 1

  ![Gliwice](/public/img/coa/pl.gliwice.png "Coat of arms of Gliwice")

  [Gliwice](/in/gliwice/factory "English jobs in Gliwice")
* 1

  ![Gniezno](/public/img/coa/pl.gniezno.png "Coat of arms of Gniezno")

  [Gniezno](/in/gniezno/factory "English jobs in Gniezno")
* 1

  ![Ruda Śląska](/public/img/coa/pl.ruda-slaska.png "Coat of arms of Ruda Śląska")

  [Ruda Śląska](/in/ruda-slaska/factory "English jobs in Ruda Śląska")
* 1

  ![Zielona Góra](/public/img/coa/pl.zielona-gora.png "Coat of arms of Zielona Góra")

  [Zielona Góra](/in/zielona-gora/factory "English jobs in Zielona Góra")

#### factory in Voivodeships...

* 116

  ![Masovian Voivodeship](/public/img/coa/pl.mazowieckie.png "Coat of arms of Masovian Voivodeship")

  [Masovian Voivodeship](/in/mazowieckie/factory "English jobs in Masovian Voivodeship")
* 76

  ![Lower Silesian Voivodeship](/public/img/coa/pl.dolnoslaskie.png "Coat of arms of Lower Silesian Voivodeship")

  [Lower Silesian Voivodeship](/in/dolnoslaskie/factory "English jobs in Lower Silesian Voivodeship")
* 70

  ![Lesser Poland Voivodeship](/public/img/coa/pl.malopolskie.png "Coat of arms of Lesser Poland Voivodeship")

  [Lesser Poland Voivodeship](/in/malopolskie/factory "English jobs in Lesser Poland Voivodeship")
* 34

  ![Pomeranian Voivodeship](/public/img/coa/pl.pomorskie.png "Coat of arms of Pomeranian Voivodeship")

  [Pomeranian Voivodeship](/in/pomorskie/factory "English jobs in Pomeranian Voivodeship")
* 33

  ![Greater Poland Voivodeship](/public/img/coa/pl.wielkopolskie.png "Coat of arms of Greater Poland Voivodeship")

  [Greater Poland Voivodeship](/in/wielkopolskie/factory "English jobs in Greater Poland Voivodeship")
* 24

  ![Silesian Voivodeship](/public/img/coa/pl.slaskie.png "Coat of arms of Silesian Voivodeship")

  [Silesian Voivodeship](/in/slaskie/factory "English jobs in Silesian Voivodeship")
* 19

  ![Łódź Voivodeship](/public/img/coa/pl.lodzkie.png "Coat of arms of Łódź Voivodeship")

  [Łódź Voivodeship](/in/lodzkie/factory "English jobs in Łódź Voivodeship")
* 9

  ![Podlaskie Voivodeship](/public/img/coa/pl.podlaskie.png "Coat of arms of Podlaskie Voivodeship")

  [Podlaskie Voivodeship](/in/podlaskie/factory "English jobs in Podlaskie Voivodeship")
* 8

  ![Lublin Voivodeship](/public/img/coa/pl.lubelskie.png "Coat of arms of Lublin Voivodeship")

  [Lublin Voivodeship](/in/lubelskie/factory "English jobs in Lublin Voivodeship")
* 5

  ![Subcarpathian Voivodeship](/public/img/coa/pl.podkarpackie.png "Coat of arms of Subcarpathian Voivodeship")

  [Subcarpathian Voivodeship](/in/podkarpackie/factory "English jobs in Subcarpathian Voivodeship")
* 5

  ![West Pomeranian Voivodeship](/public/img/coa/pl.zachodniopomorskie.png "Coat of arms of West Pomeranian Voivodeship")

  [West Pomeranian Voivodeship](/in/zachodniopomorskie/factory "English jobs in West Pomeranian Voivodeship")
* 4

  ![Opole Voivodeship](/public/img/coa/pl.opolskie.png "Coat of arms of Opole Voivodeship")

  [Opole Voivodeship](/in/opolskie/factory "English jobs in Opole Voivodeship")
* 2

  ![Holy Cross Voivodeship](/public/img/coa/pl.swietokrzyskie.png "Coat of arms of Holy Cross Voivodeship")

  [Holy Cross Voivodeship](/in/swietokrzyskie/factory "English jobs in Holy Cross Voivodeship")
* 1

  ![Lubusz Voivodeship](/public/img/coa/pl.lubuskie.png "Coat of arms of Lubusz Voivodeship")

  [Lubusz Voivodeship](/in/lubuskie/factory "English jobs in Lubusz Voivodeship")
* 1

  ![Warmian-Masurian Voivodeship](/public/img/coa/pl.warminsko-mazurskie.png "Coat of arms of Warmian-Masurian Voivodeship")

  [Warmian-Masurian Voivodeship](/in/warminsko-mazurskie/factory "English jobs in Warmian-Masurian Voivodeship")

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englishjobs.pl is a website created to facilitate English-speaking professionals finding suitable job offers in Poland.