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An Expert Data Engineer designs and builds cloud and on-premise data platforms, ETL/ELT pipelines, and data warehouses, optimizing pipelines and schemas for reporting in agile teams. Core stack is GCP (BigQuery) with dbt, Airflow, and Trino, plus strong SQL and Python.
Lead Data Engineer at software house Acaisoft, delivering data pipelines and datasets for a US BioPharma client. Day to day: build and operate ingestion/processing on Databricks Spark (Delta Lake, Unity Catalog) with Python and complex SQL, handle CDC from Oracle/PostgreSQL/MongoDB, and lead architecture while mentoring engineers to power AI/ML and GenAI use cases.
A senior Databricks Architect who designs and leads enterprise data lakehouse platforms on Databricks — defining architecture standards, governance, and best practices while mentoring teams. Core stack: Databricks, Apache Spark, Delta Lake, Unity Catalog, Medallion Architecture, cloud (Azure/AWS/GCP) and orchestration tools.
Build, design, and optimize enterprise data platforms on Microsoft Fabric (Lakehouse, Data Warehouse, pipelines, Dataflows Gen2) using SQL and Power BI. Day to day involves developing ETL processes and data models, automating workflows, and working with business stakeholders in Agile teams.
Senior Data Engineer (100% remote, collaborating with a NYC-based team) who designs and maintains large-scale data pipelines, ETL, and a data lake powering an adtech identity graph with billions of records. Core stack: Python, Spark, cloud platforms (AWS/GCP), plus AI/LLM integration and MLOps.
Acaisoft is hiring a Data Engineer in Warsaw to build and operate scalable data pipelines on Databricks/Spark for a US BioPharma client, powering AI, analytics and reporting on scientific, clinical and enterprise data. Day to day involves Python and complex SQL, CDC ingestion from Oracle/PostgreSQL/MongoDB, Delta Lake data modelling, and IaC/CI-CD delivery.
Principal Data Engineer at GFT Poland designing and delivering cloud-based data platforms and architectures for analytics, reporting, and data-driven decision-making. Day to day involves translating business requirements into architectural decisions, building data processing frameworks, and driving data quality and governance using SQL, Python, Spark/PySpark, GCP, and Databricks/Snowflake.
BI/Data Engineers at Spyrosoft (Wrocław) design, develop and optimise BI and data-analytics solutions across the full data lifecycle: data modelling, ETL/ELT pipelines, visualisation and automation, working with large datasets in cloud data ecosystems using SQL, Python and Scala while turning business requirements into insights.
Data Engineer building scalable ETL/ELT pipelines and analytics on Azure (Data Factory, Microsoft Fabric Lakehouse/OneLake) with deep Power BI work (DAX, Power Query, RLS, semantic models) for banking-sector projects. Hybrid role based in Kraków, engaged via Antal on B2B or employment contract.
Wspólnie z naszym Partnerem, jednym z europejskich liderów w branży bankowej, poszukujemy doświadczonego/ej specjalisty/ki do realizacji projektów jako Big Data Engineer. Projekt realizowany jest w obszarze bankowości…
Mid-level Data Engineer at software house Acaisoft, building reliable, scalable data pipelines and datasets for a US BioPharma client to power AI/ML, analytics, and reporting. Core stack: Python, complex SQL, and production Spark on Databricks (Delta Lake, Unity Catalog), with CDC ingestion from Oracle, PostgreSQL, and MongoDB.
Designs and maintains scalable ETL pipelines that integrate and standardize laboratory instrument data for pharmaceutical research, ensuring high-quality, FAIR-compliant data for scientists. Core stack: SQL, Python, NoSQL, Docker, Git, Terraform/CloudFormation, with AWS (Lambda, Glue, Step Functions) and RDF/SPARQL as pluses.
Junior Data Engineer on Allegro's Conversational Analytics team in Warsaw, building the engineering foundations for Looker Conversational Analytics and the in-house Allegro Data Intelligence tools. Day to day: developing Python services and data/event pipelines, working with SQL, Google Cloud Platform, and agentic AI/LLM technologies like agent integrations, evaluations, and observability.
Infrastructure Data Engineer who operates and secures a strategic Azure-based data lake and analytics platform for cybersecurity analytics: building cloud infrastructure with Terraform, configuring Azure networking/IAM/monitoring, and supporting CI/CD and governance. Stack includes Databricks, Kubernetes, Ansible, Linux/Bash/PowerShell, Prometheus, and Grafana.
Data engineer who builds and maintains ETL processes from multiple source systems, writes complex T-SQL stored procedures, functions and views, and handles data validation, deployments, and performance tuning. Core stack: Microsoft SQL Server, SQL Server Agent, SSIS, Git, and Snowflake.
Senior Data Engineer building scalable cloud data pipelines and analytics that power strategic HR decisions for a global organization. Day to day: integrating and transforming data with Snowflake, DBT and Fivetran, ensuring data quality and governance, automating infrastructure with Terraform and Git, and creating PowerBI dashboards.
Hands-on Full Stack Data Engineer owning Coople's data platform end to end: building and operating pipelines into a Databricks Data Lake, delivering Power BI reporting, and enabling data democratisation including a chat-based interface for non-technical users, with an AI-first development mindset. Hybrid role in Warsaw, partnering with teams in London and Zürich.
Senior engineer who designs scalable web scraping and data collection systems, turning public, unstructured web data into clean datasets for research and investment teams. Day-to-day work spans Python, SQL, crawlers, APIs, data pipelines, monitoring, and exploring AI/LLM-driven extraction.
Data Engineer working on a project for an insurance-sector client, migrating Oracle ETL processes and data structures from on-premise to Azure cloud using Microsoft Fabric. Day-to-day involves building and optimizing data pipelines and models with Azure Data Factory, SQL/Oracle, Python/PySpark, and Power BI with DAX.
Data Engineer at Jacobs' Digital & Data Hub building cloud-based data platforms and pipelines on Azure, with Microsoft Fabric and Databricks at the core. Day to day: batch and near-real-time ingestion/transformation with Delta Lake and Spark, data modelling, quality and governance, plus client-facing consulting work.
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