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Senior Cybersecurity Data Engineer - Hybrid, Flexible Hours
ITDS Polska is hiring a Senior Cybersecurity Data Engineer in Kraków (hybrid, flexible hours) to build and maintain data pipelines and ETL workflows supporting a cybersecurity risk-quantification model for a financial-industry client. Core stack: Azure (Data Factory, Databricks, Synapse), Python, SQL, Spark, and Power BI.
Senior Data Engineer - AWS & Databricks for GenAI
Senior Data Engineer building and optimizing cloud data platforms on AWS with Databricks (expanding to GCP/Azure as needed) to power analytics, AI, and data products. Works with data scientists, ML engineers, and business stakeholders on lakehouse architecture, data governance, and scalability.
Senior Data Engineer - Hybrid (Poznań) | Data Platforms
Senior Data Engineer at LyondellBasell building and scaling enterprise data pipelines and models, partnering with business and tech teams to deliver analytics across manufacturing, supply chain, finance, and sustainability. Core stack: Python, SQL, Databricks, and cloud-native platforms, in a hybrid Poznań role.
Senior Cybersecurity Data Engineer – Azure
Senior data engineer supporting a financial client's Cybersecurity Risk Quantification team in Kraków (hybrid: min. 6 office days/month), building Azure-based data pipelines and ETL workflows that measure how control improvements reduce risk. Requires 5+ years in data engineering with the Azure stack, Python, SQL, and Spark.
Hybrid Cloud Data Engineer | Data Platforms & AI
Cloud Data Engineer at PwC Polska in Katowice, building data platforms, defining data flows, and designing migration plans across data domains while collaborating with senior stakeholders. Core stack is Azure (Fabric, Databricks, Synapse) with Python, PySpark, SQL, and CI/CD via Azure DevOps or Jira.
AI Data Engineer (R-20104)
Data Engineer II on Dun & Bradstreet's AI & Ingestion team, designing and operating production data-ingestion pipelines that use LLMs, RAG and agentic workflows to collect, extract, classify and match business data. Core stack: Python, SQL, and GCP (BigQuery, Dataflow, Airflow, Vertex AI).
AI Data Engineer (R-20104)
Data Engineer II in Dun & Bradstreet's AI & Ingestion team designs, builds and runs production data and AI pipelines — ingestion from web/API/file sources, LLM-powered extraction, classification and entity matching, plus RAG/agentic workflows — on GCP. Core stack: Python, SQL, BigQuery, Dataflow, Airflow, Vertex AI.
Senior Data Engineer - AWS / Databricks
Senior Data Engineer representing Dateonic on a long-term client project, designing and optimising cloud data platforms on AWS and Databricks (Spark, Delta Lake) — building batch/streaming pipelines, medallion lakehouse layers, governance, and ML/GenAI-ready datasets, with growing multi-cloud (GCP/Azure) work.
Senior Data Engineer - Zalando Poland
Senior Data Engineer (via Zoolatech, for partner Zalando) building the customer-identity data foundation in Wrocław: designing PySpark/Databricks pipelines to reconcile customer identifiers across web, app and CRM channels, with LLM-assisted cleanup and GDPR-compliant data quality. Core stack: PySpark, SQL, Databricks, Airflow, Kafka.
Azure Data Engineer: Data Lake & ETL Architect
Designs and develops scalable Data Lake/data platforms at Sii, building and maintaining ETL/ELT pipelines in Azure Databricks and doing data modeling for analytics. Requires 4+ years of experience with SQL, Python, Spark/PySpark, Azure Data Factory, Synapse, and Fabric.
Snowflake Data Engineer with German
Data engineer at DXC Technology building Snowflake-based data platforms for a German enterprise client: designing ETL/ELT pipelines, dbt models, and Data Lake/Lakehouse solutions. Core stack is Snowflake, SQL, Python, and CI/CD tooling, with B2 German required for stakeholder communication.
Senior GCP Data Engineer
Senior Data Platform Engineer at Xebia, an IT consulting firm, joining a GCP cloud transformation and migration project for an international client — building cloud platform solutions, Terraform IaC, CI/CD pipelines, and infrastructure automation. Must work from the EU with a valid work permit.
Senior AI Data Engineer
Senior AI Data Engineer at Allies builds and maintains scalable data pipelines and cloud data platforms that power analytics, machine learning, LLM, and AI-enabled solutions for enterprise clients. Core stack: Python, SQL, AWS/Azure/GCP data services, Databricks/Snowflake/Spark, and orchestration with Airflow or Dagster.
Senior/Lead Data Engineer
Hands-on technical lead role at Jacobs in Kraków: designing, building, and operating Snowflake-based enterprise data platforms and leading legacy-to-cloud data warehouse migrations. Core stack includes Python, SQL, Azure, Airflow, and Kafka, with ownership of ETL/ELT pipelines, DataOps, and mentoring data engineers.
Data Engineer — Hybrid: Cloud Data Pipelines & Analytics
Data Engineer at LyondellBasell Industries in Poznań (hybrid, on-site element) who designs, builds, and scales data models, pipelines, and platforms enabling reliable enterprise reporting and analytics, working with cloud technologies like Databricks, Snowflake, and Spark alongside cross-functional teams.
Senior Data Engineer
Senior hands-on data engineer in Kraków building and modernizing an enterprise client's data platform on Azure Databricks: designing data pipelines in Python, PySpark, and SQL, driving a Databricks migration, and developing AI/RAG-powered data discovery with Unity Catalog and conversational interfaces.
Senior Data Engineer
Senior Data Engineer at GFT Poland, an IT engineering & consulting firm, designing and building cloud-based data platforms on GCP — developing scalable pipelines, data models and ETL processes with BigQuery, DBT, Airflow and Trino. Hybrid work (2 office days/week) from Lodz, Poznan, Krakow, Warsaw or Wroclaw offices.
Senior Data Engineer
Senior Data Engineer at chemicals giant LyondellBasell in Poznań, building and scaling enterprise data pipelines, models, and products with Python, SQL, Databricks, Snowflake, Spark, and Azure to power reporting, analytics, and decision-making across manufacturing, supply chain, finance, and other business functions.