52 English-speaking jobs in Białystok

What you'll need to succeed in this role: At least 4 years of commercial experience in Backend Engineering, Data Engineering, or building production data-intensive systems. Strong programming skills in Python , including clean code and solid software engineering practices. Hands-on commercial experience with Django and building REST APIs.

What you'll need to succeed in this role: At least 4 years of commercial experience in Data Engineering or Big Data projects Strong programming skills in Python Very good knowledge of SQL Strong hands-on experience with Apache Spark and distributed data processing Practical experience with workflow orchestration tools, preferably Apache Airflow Experience with Apache Iceberg and/or modern lakehous

What you'll need to succeed in this role: Bachelor's degree in technical, mathematical, or economic fields. Minimum 1,5 year of experience in implementing, developing, or maintaining Data Warehouse, Business Intelligence, or Big Data systems. Strong understanding of data processing and ETL/ELT techniques. Proficiency in SQL and Python for data processing.

Experienced Guidewire Developer or Tech Lead needed for a large-scale international insurance project. Must have 5+ years of experience with Guidewire BillingCenter or PolicyCenter, strong Java skills, and knowledge of integrations and CI/CD.

Senior Python Developer needed to design, optimize, and maintain backend data workflows for a health insurance company. Requires advanced Python, strong SQL, and over one year of React experience. Must ensure compliance with healthcare regulations.

Java Developer Talent Pool for Junior, Mid, and Senior roles. Responsibilities include software development, code implementation, testing, and optimization. Requires Java 8+, Spring Framework, OOP knowledge, and experience with Git, Maven/Gradle, and Scrum.

Develop and maintain microservices using Kotlin for a fintech platform managing company expenses. Requires 3+ years of experience, backend system knowledge, and familiarity with cloud environments and relational databases.

Design, deploy, and operate enterprise-grade OpenStack environments as part of the Cloudboostr platform. Build and maintain automated infrastructure provisioning pipelines using Terraform and Ansible. Ensure high availability and performance of private cloud infrastructure. Collaborate with the product team to ensure seamless integration between infrastructure, runtime, and AI layers.

Senior Project Manager to lead strategic initiatives in the pharmaceutical sector. Responsibilities include optimizing Anaplan for supply chain and implementing a unified Regulatory Affairs platform to consolidate eight applications. Requires 10+ years of experience in complex, multinational environments with GxP knowledge.

Implementation Consultant (Regulatory Reporting) leads the delivery of regulatory reporting projects. Requires 2+ years in FinTech or regulatory reporting, with experience in AxiomSL, WKFS, Moody’s, or Regnology products.

Signal Processing & Data Analysis Specialist needed. Requires 5+ years in algorithm/software validation, expertise in digital signal processing, and proficiency in Python (SciPy, NumPy, pandas).

Senior D365 Technical Consultant needed with 5+ years in consultative roles. Expertise in D365, Power Platform, SDLC, Agile/Waterfall, and solution design for complex digital transformation projects.

What you'll need to succeed in this role: At least 7+ years of proven commercial experience with Java development and strong proficiency in Oracle database technologies, including performance tuning and schema design. Extensive experience in designing and implementing solutions across both modern, cloud-native architectures and legacy systems.

What you'll need to succeed in this role: Strong hands-on experience with Azure Data Factory (must-have), including: pipeline and orchestration design, linked services, datasets, triggers, and parameterization, operational monitoring, troubleshooting, and performance tuning, and deployment-aware ADF development in enterprise environments.

What you'll need to succeed in this role: At least 5 years of commercial experience implementing, developing, or maintaining Big Data systems. Strong programming skills in Python : writing a clean code, OOP design. Strong SQL skills, including performance tuning, query optimization, and experience with data warehousing solutions.

What you'll need to succeed in this role: At least 8+ years of proven commercial experience with Java development and strong proficiency in Oracle database technologies, including performance tuning and schema design. Extensive experience in designing and implementing solutions across both modern, cloud-native architectures and legacy systems.

What you'll need to succeed in this role: At least 3 years of commercial experience implementing, developing, or maintaining Big Data systems, data governance and data management processes. Strong programming skills in Python (or Java/Scala): writing a clean code, OOP design. Hands-on with Big Data technologies like Spark , Cloudera, Data Platform, Airflow, Kafka, NiFi, Docker, and Iceberg.

What you'll need to succeed in this role: Strong hands-on experience with Azure Data Factory and Databricks (must-have), including: pipeline and orchestration design, linked services, datasets, triggers, and parameterization, operational monitoring, troubleshooting, and performance tuning, and deployment-aware ADF development in enterprise environments.

What you'll need to succeed in this role: At least 5 years of commercial experience implementing, developing, or maintaining Big Data systems, data governance and data management processes. Strong programming skills in Python (or Java/Scala): writing a clean code, OOP design. Hands-on with Big Data technologies like Spark , Cloudera, Data Platform, Airflow, Iceberg, Kafka, and CI/CD.

What you'll need to succeed in this role: Bachelor's or Master's degree in Artificial Intelligence, Computer Science, Information Systems, or a related field Several years of proven experience working with AI applications and modern AI technologies (e. g. ML, Generative AI, LLMs, Agentic AI) Experience with major AI frameworks such as TensorFlow or PyTorch Experience with AI cloud platforms (e. g.