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Build and maintain data pipelines for subsurface/drilling data using Python, SQL, Snowflake, Azure, Power BI, and Streamlit, enabling AI/ML workflows on seismic and well metadata in collaboration with geophysicists.
Data Engineer designing and maintaining scalable data pipelines using Scala, Apache Spark, and Java on a Big Data internal cloud platform, with 2–3 days weekly in the Warsaw office.
Build data pipelines, QC dashboards, and data products for subsurface and drilling datasets (wells, logs, seismic metadata) using Python and SQL, enabling AI workflows and integrating metadata from sources like Petrel and DISKOS.
Lead a distributed Data Engineering team (London, India, Poland) at a FTSE 100 fintech, owning delivery of batch and real-time data pipelines on GCP (BigQuery, Airflow, Kafka) while driving data quality and platform transformation.
Senior Data Engineer building and maintaining ELT/ETL pipelines and scalable data models in Snowflake, contributing to end-to-end data platform architecture and collaborating with finance and analytics teams.
Senior/Lead Data Engineer responsible for end-to-end data architecture, cloud-native pipeline development (primarily Azure stack), and mentoring engineers, working 2 days in-office in Warsaw.
Design, build and maintain scalable data pipelines using Azure, Databricks, PySpark and SQL, modernizing enterprise data platforms for a sustainable stainless steel manufacturer.
Data Engineer building data integration, ETL/ELT pipelines, and Power BI reporting solutions using the Microsoft Fabric ecosystem for enterprise clients.
Data Engineer on the People Analytics team building and maintaining Microsoft Fabric data pipelines for HR reporting, using SQL, Python/PySpark, and Medallion Architecture patterns.
Senior Data Engineer at IBM Consulting building ELT pipelines from Azure Blob Storage into Snowflake, developing dbt transformation models, and writing Python orchestration scripts to support AI use cases.
Senior Data Engineer on the data platform team, designing data architecture and implementing cloud migrations using Databricks, Azure, Python, and SQL.
AI Senior Data Engineer building autonomous AI workflows, production data pipelines, and the analytics layer for a telehealth platform, with a focus on LLMs and agentic workflows.
Lead Data Engineer on a 3-month hybrid contract building and optimizing AI data marketplace data ingestion pipelines using Azure technologies and coordinating enterprise-scale data solutions across teams.
Senior Data Engineer designing, building, and maintaining enterprise data and AI platforms primarily using Microsoft Fabric, Azure, and Azure AI services — including data pipelines, Lakehouse solutions, and Generative AI/RAG applications.
Senior Data Engineer at Outokumpu in Katowice designing, building and maintaining scalable data pipelines using Azure, Databricks, PySpark and SQL, with a focus on lakehouse architectures and AI initiatives.
Data engineer building and maintaining data pipelines for subsurface and drilling data (seismic, wells, geomodels) using Python and SQL, enabling AI/ML workflows on an agile data platform team.
Data Engineer building and integrating data pipelines using Microsoft Fabric, Azure Synapse, and Python/PySpark, with a focus on data quality validation and collaboration with risk teams in a hybrid role.
Manager-level Data Engineer developing and maintaining data ingestion pipelines for an AI Data Marketplace platform using Azure Data Factory and Databricks in a hybrid role in Warsaw.
Design and implement Databricks data processing pipelines in Python across cloud platforms (AWS, Azure, or GCP), ensuring data quality, security, and scalability for client projects.
Senior AI Data Engineer building autonomous data workflows, LLM-based AI solutions, production data pipelines, and scalable reporting for a telehealth platform in Warsaw.
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