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Zohorecruit is hiring a Senior Cloud Data Engineer in Poland to design and maintain scalable, enterprise-grade data pipelines on AWS in a lakehouse environment, working day to day with Python, PySpark, Snowflake, dbt, and Apache Iceberg, with a focus on high-volume processing, performance optimization, and mentoring peers.
Intellias is hiring a Staff Healthcare Data Engineer in Poland to lead a large-scale FHIR-based health data platform. The role owns end-to-end data pipelines, PHI-safe healthcare data ingestion and quality, and drives architectural standards while mentoring teams and applying AI-native delivery approaches.
DCG is hiring a Senior Data Engineer in Warsaw to design a data warehouse/lakehouse from scratch on a client project, building bronze/silver/gold medallion layers and production ETL/ELT pipelines in Python with Azure, integrating regulatory and parliamentary data sources.
Design, develop, and maintain Python/PySpark data pipelines for a regulatory reporting platform covering multiple jurisdictions, collaborating with analysts, QA, and distributed teams across Ukraine, Poland, and the US.
P&P Solutions is hiring a Senior Data Engineer (Wrocław, remote work available) to design Apache NiFi data flows, develop REST APIs, and model and optimize large-volume data in PostgreSQL. Requires fluent PostgreSQL and advanced SQL, plus data modeling and API design skills; ETL experience is a strong asset.
Designs, builds, and maintains scalable data pipelines on Google Cloud Platform — ETL/ELT in Python and SQL, streaming/event-driven processing with BigQuery, Pub/Sub, Dataflow/Apache Beam, Kafka and Eventarc, orchestrated with Airflow/Cloud Composer and transformed with dbt/Dataform. Full-time, 100% remote B2B contract, 130–160 PLN/h net.
Senior Data Engineer at DCG designing a client's data warehouse/lakehouse from scratch: building bronze/silver/gold medallion layers, star-schema dimensional models, and production Python ETL/ELT pipelines integrating regulatory and parliamentary data sources, working directly with the client on technical decisions.
Data engineer at HSBC in Kraków, on the IWPB Technology Data and Insights team, migrating reporting to an in-house Google Cloud Platform solution and building a high-performance data store for aggregation and real-time insights. Day to day: designing pipelines and cloud-native components with secure, scalable processing across on-prem and cloud.
Data Engineer/Analyst working remotely (based in Ireland or the UK) for a global consulting client of Fromjimmy: documenting data platforms, tracing data flows and ETL processes, mapping ODI processes, and producing runbooks to enable knowledge transfer, with occasional on-site meetings in Ireland. Core tech: ETL, data warehousing, OBIEE, Oracle Data Integrator (ODI).
Staff-level individual contributor setting technical direction for a FHIR-based healthcare data platform: building large-scale distributed pipelines that turn fragmented EHR, payer, and clinical data into clean, standardized FHIR using Python, Spark/PySpark, Databricks, Delta Lake, and AI-native tooling like Claude Code.
Senior data engineer on Luxoft Poland's Regulatory Reporting team: design and maintain data-driven applications and scalable batch/near-real-time data pipelines, contributing across the full SDLC in an Agile team with automation, testing, CI/CD, and cloud-based data platforms.
Builds and maintains data pipelines, CI/CD workflows, and ML operations for Philip Morris International, managing AWS infrastructure with Terraform, running SageMaker training/deployment, and supporting Docker/Kubernetes applications while improving reliability, security, and performance. Hybrid, permanent role based in Kraków (or Albarraque, Portugal).
Senior Data Engineer at HSBC's International Wealth & Premier Banking team in Kraków, designing and delivering data pipelines that migrate reporting from vendor tools to an in-house Google Cloud Platform solution. Day-to-day work centers on Airflow/Composer DAGs, BigQuery, CloudSQL, Pub/Sub, Dataflow and GKE, using Python and CI/CD pipelines.
Senior Data Engineer who independently designs, builds, and maintains enterprise-scale cloud data platforms and ETL/ELT pipelines, plus mentors others and shapes architecture. Core stack: Python, PySpark, Snowflake, dbt, Apache Iceberg, and AWS (S3, Glue, EMR, Lambda).
Long-term, remote-first contract (candidates in Ireland/UK) placing a Data Engineer/Analyst with a global consulting firm's delivery team for a public-sector client. Day to day: document Oracle data warehouse and ODI/ETL processes, map data flows and dependencies, write runbooks, and run knowledge-transfer workshops using OBIEE, PL/SQL and Python.
EPAM is hiring a Big Data Engineer to help build a valuation and risk-management platform on Microsoft Azure, developing big data solutions in Apache Spark and complex systems in Java and Scala. Day-to-day work covers building and maintaining GitLab CI/CD pipelines, containerization, and Kubernetes, in a flex-hybrid model requiring 3 days a week in the Kraków office.
Senior Data Engineer building data-processing solutions, ETL pipelines, and optimized relational databases for a Polish tech-research company in the electric power sector. Day to day: designing Apache NiFi data flows, developing REST APIs, and data modeling for large volumes, with deep PostgreSQL/advanced SQL work. Start 11.2026.
Co-own Fourthwall's GCP/GKE production platform and serve as its security partner: build guardrails, policies, alerting and automated CI/CD scans, run the vulnerability disclosure programme, and improve recovery and on-call with AI and automation. Stack: GCP, GKE, Terraform, GitOps (Flux), GitLab CI/CD, PostgreSQL.
Installs and maintains cloud and on-prem infrastructure and deploys containerized environments, databases, and messaging systems for client projects, working remotely from Kraków with occasional travel for customer implementations. Core stack: Linux, Docker, Kubernetes, cloud, Bash, Python.
Supports and automates distributed applications day to day: troubleshooting incidents, operating and tuning PostgreSQL, Linux/Bash scripting, and building data integrations in Azure Data Factory, while maintaining CI/CD pipelines (GitLab) and improving observability and reliability.
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