852 English-speaking jobs in Katowice

Lead the design and development of backend services for a core platform rewrite. Design scalable services for transactions, balances, statements, and reporting data. Define API contracts and integration patterns.

Experienced IT Project Manager needed to lead complex technology implementations from requirements analysis through deployment. Manage project teams, oversee data platform implementations, and build client relationships. Must have 3+ years of experience managing full project lifecycles and proven experience leading projects with technical teams. Fluent English required.

Senior Data Engineer to design, implement, and optimize scalable data pipelines on Databricks. Requires 5+ years of data engineering experience, 3+ years with Databricks, and proficiency in Python, SQL, and cloud platforms (Azure or AWS). Fluent English required.

MLOps Engineer to architect and execute the migration of 60+ machine learning models from Azure ML Foundry to Databricks. Responsibilities include defining migration blueprints, automating model validation, and establishing long-term lifecycle management strategies. Requires deep Databricks ML expertise, production observability skills, and experience migrating production models.

Data Engineer to modernize a complex data estate, transitioning legacy ETL processes into a high-performance Microsoft Fabric environment. Responsibilities include building and managing data environments, designing and tuning data models, and migrating legacy workloads. Requires extensive hands-on experience with Microsoft Fabric, Spark, and SQL.

Senior Backend Engineer will architect and own the core platform powering a predictive intelligence system. Responsibilities include authentication, metering, AI pipeline orchestration, and billing. Requires 4+ years of backend engineering experience (Python or Node.js), production RESTful API experience, and GCP services experience.

Experienced Platform Architect to define and drive an end-to-end API strategy for a cloud-native organization. Responsibilities include shaping API standards, architecture, governance, and tooling. This role requires deep platform engineering expertise and cross-team leadership to deliver a unified API ecosystem built on AWS.

Experienced Software Engineer to define and drive an end-to-end API strategy for a cloud-native organization. Responsibilities include shaping API standards, architecture, governance, and tooling. This role requires deep platform engineering expertise on AWS and cross-team leadership.

Lead Software Engineer to design, develop, and maintain scalable full-stack applications. Experience with JavaScript/TypeScript, Node.js, React/Vue/Angular, APIs, and CI/CD required. Mentorship and technical leadership experience necessary.

Contribute to shaping and delivering SAP data & analytics solutions, focusing on SAP Business Data Cloud (BDC) and SAP-native data products. Design, implement, and support SAP data warehousing solutions, including data products, semantic models, and analytics consumption using BDC and SAP Analytics Cloud (SAC). Translate business requirements into SAP data solutions and collaborate with cloud and data platform teams to deliver hybrid architectures.

Senior Marketing Cloud Engagement Developer needed to design, configure, and develop solutions within Salesforce Marketing Cloud. Requires 5+ years of experience with MCE modules (Journey Builder, Automation Studio, Email Studio) and proficiency in SQL, AMPscript, and SSJS. Must have Salesforce Marketing Cloud Developer and/or Consultant certifications. Experience integrating SFMC with external systems using REST/SOAP APIs is essential.

Blockchain Full-Stack Developer will design, develop, and audit smart contracts on EVM-compatible blockchains using Solidity. Responsibilities include building and maintaining web applications, integrating smart contracts with web applications and external systems, and operating and monitoring blockchain nodes. Experience with Solidity, token standards (minimum ERC-20), and full-stack development (React or Angular, Python, Java, or Node.js) is required.

Senior Data Scientist will leverage machine learning and cloud technologies to improve client businesses. Responsibilities include applying data-driven approaches to business scenarios, creating and using advanced analytics and ML algorithms, and collaborating in interdisciplinary teams. Requires a minimum Bachelor's degree in a relevant field and 4 years of experience in applying data-driven approaches. Proficiency in at least one programming and query language (Python, PySpark, SQL) and understanding of various Data Science, Machine Learning concepts and algorithms is necessary. Fluent English is required.

Lead the end-to-end implementation of SAP S/4HANA Controlling initiatives for a manufacturing company. Plan, execute, and monitor projects, ensuring alignment with business requirements. Act as a subject matter expert in SAP S/4HANA Controlling, including Product Cost Controlling and Material Ledger.

Design, implement, and deploy SAP solutions to achieve business goals. Drive industry innovation by delivering SAP S/4HANA solutions. Minimum 5 years of experience in relevant related skills. Advanced proficiency in SAP Analytics Cloud and SAP Analytics Cloud Planning.

Design, implement, and deploy SAP solutions to achieve business goals. Lead full-cycle, international projects and drive industry innovation with SAP S/4HANA solutions.

Lead and coordinate SAP FI/CO projects, including analysis, design, configuration, testing, and implementation. Collaborate with key users to optimize financial and controlling processes.

Configure and implement OpenText Vendor Invoice Management (VIM) for SAP Solutions. Troubleshoot VIM implementation across all project phases. Collaborate with global teams on large-scale transformation programs.

Lead and support solution design and delivery for IAM, Authorization, or SOC requirements in on-premise, cloud, and hybrid SAP landscapes. Manage project teams and contribute to business development opportunities in SAP Security.

Senior Data Engineer will design and optimize scalable data processing pipelines using Databricks, Apache Airflow, and Dagster. Responsibilities include architecting data platforms, leading CI/CD and MLOps processes, and collaborating with Data Science teams on Machine Learning projects. Requires 5+ years of experience implementing Big Data systems, strong Python and SQL skills, and expertise in cloud environments (Azure preferred).