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Senior Analytics Engineer at Centra in Wrocław will own the data backbone of a new Data & Insights module in a greenfield team — shaping the architecture, data models and pipelines of an API-first analytics platform that powers real-time dashboards for global brands across 120+ countries.
Senior Data Platform Engineer at Sii Poland in Toruń who builds, maintains and enhances a cloud-based data platform on AWS and GCP, delivering scalable, secure and cost-efficient data solutions in partnership with data engineers, scientists and analysts.
Senior Data Platform Engineer at Autenti: builds and maintains the company's modern data platform — handling data migration, warehouse modeling, and implementing a BI layer for reporting and analytics. Requires 6+ years of experience, strong SQL, and cloud data tooling; fully remote with flexible hours on a B2B basis, working closely with finance, product, and IT teams.
Sii Poland is hiring a Senior Data Engineer for its Data & Analytics Competence Center in Katowice to design, build, and maintain enterprise data platforms on Azure using Microsoft Fabric, integrating enterprise data sources for analytics and reporting. Core stack: Microsoft Fabric, Azure services, Python, SQL, and CI/CD.
Senior Data Support Engineer at Intetics building robust data solutions and pipelines. Day to day involves complex data modelling, ELT development and data warehousing work using Snowflake, Python, SQL and dbt, in collaboration with QA, UAT and cross-functional teams.
Designs, builds, and maintains scalable data pipelines on Azure and Databricks using PySpark, SQL, and Delta Lake, including ETL/ELT development and SAP data integration. Works hybrid from Dąbrowa Górnicza, Poland, collaborating with platform, analytics, and business teams to deliver reliable reporting data solutions.
SoftServe is hiring a Senior Java Data Engineer in Poland to design, build, and maintain scalable, cloud-native data pipelines on Google Cloud Platform for an Enterprise Data Platform serving a large US-based healthcare client. Day to day is Java-based data engineering to improve data quality and analytics.
Sigma Software is hiring a Senior Data Engineer to migrate a client's BigQuery estate to Databricks, implementing Delta Lake and optimizing Spark pipelines for high-volume retail analytics. Day to day: building scalable lakehouse data platforms and governance practices with international, distributed teams.
A senior data engineer/architect at Inetum Polska designs and delivers end-to-end data architecture on the Microsoft stack — Microsoft Fabric (Lakehouse, Warehouse), Azure Data Factory, ADLS Gen2 and Synapse/SQL — including governance, capacity planning and integration standards, working hybrid from Katowice (2 office days/week).
Senior Data Engineer responsible for Databricks migrations and developing AI-powered data discovery platforms. The role involves evolving the Data Foundation, participating in architectural decisions, and delivering scalable data solutions through hands-on coding.
Senior Data Engineer at IT services firm Inetum Polska who defines data-contract architecture and standards on Google Cloud Platform — designing schemas, validation, and versioning while automating data-quality checks with product, BI, and data teams. Hybrid role in Warsaw (2 office days/week).
Senior Data Engineer at Sigma Software's Data Engineering CoE, migrating an enterprise retail analytics platform from BigQuery to a Databricks Lakehouse. Day to day: designing medallion (Bronze/Silver/Gold) architectures, building PySpark/Delta Lake pipelines, optimizing SQL and Spark workloads, and implementing Unity Catalog governance.
Database engineer role in Warsaw focused on PostgreSQL data warehousing and processing very large data volumes, with data integration across a multi-cloud AWS and GCP environment. Requires several years of experience, strong PostgreSQL query-plan analysis and optimization skills, and fluent Python.
Senior Data Engineer at EY GDS Poland (Katowice) designing and building client-facing data platforms with Databricks and modern cloud warehouses (Synapse, BigQuery, Redshift, or Snowflake). Day to day: data modeling, pipelines, and distributed processing in SQL and Python, working in agile cross-functional teams with global clients.
Senior data engineer at IG (posted via Eagle Eye Staffing Solutions) consolidating the data ecosystem on GCP — building batch and real-time pipelines, BigQuery/dbt modelling, and data governance in a regulated financial environment. Hybrid in Kraków (3 days/week in office), with mentoring and ML data pipeline support.
Senior Data Engineer defining data contracts, schemas, validation, and versioning on GCP across multiple data projects. Sets data standards, automates quality checks, selects contract-automation tools, and collaborates with product, data engineering, BI, and data-owner teams in a hybrid setup in Warszawa.
Senior Data Engineer designing, building, and optimizing scalable data pipelines, Ontology Objects, and Foundry Functions in Palantir Foundry. Day-to-day work centers on Python, PySpark, SQL, and TypeScript, plus cloud-based ETL/ELT, data modeling, and pipeline performance tuning.
Senior Data Engineer joining IG, a global FTSE 100 fintech, in Kraków on a hybrid basis (3 days/week in office). Day to day: build batch and real-time data pipelines on GCP using BigQuery, Kafka, Airflow and dbt (Medallion architecture), plus data quality, lineage, observability, CI/CD and mentoring junior engineers.
Senior Data Engineer at Outokumpu (global stainless steel producer) who designs, builds and maintains scalable data pipelines and lakehouse architecture using Azure, Databricks, PySpark, SQL and Delta Lake, while modernizing legacy data platforms and supporting reporting, analytics and AI. Hybrid role (2 days/week on-site) based near Katowice, Poland.
Autenti, a European digital-trust services platform (e-signatures, e-ID, e-delivery, e-documents), is hiring a Senior Data Engineer to build its data platform end to end: data pipelines, a cloud data warehouse, CDC replication, semantic layer, BI, and analytics models (churn, LTV, segmentation). Core stack: SQL, Python, Airflow/Dagster, dbt; remote B2B collaboration.
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