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Design and implement GenAI solutions on Google Cloud, building AI agents, integrating LLMs with backend systems, and optimizing prompts for business applications.
Designs data pipelines for subsurface and drilling data, builds data products on a unified platform, and translates seismic workflows into reusable data and AI/ML solutions in an Agile team.
Platform/Cloud Engineer supporting the Omics Workbench on GCP—standardizing data pipelines, diagnosing cloud issues, and contributing to AI/ML-assisted pipeline development for biopharmaceutical research.
Design scalable solutions on Akamai's Cloud Platform, build data pipelines, and develop real-time cybersecurity data platforms using Java/Scala/Python, Kafka, Spark, Akka, and various data stores.
Building a demand prediction system from scratch using GLM models for an entertainment market leader in Poland, working with multi-source data preparation and analysis using SQL, Python, Pandas, and NumPy.
Data Engineer building and optimizing data pipeline architecture for retail order and delivery data, working with Apache Spark, HDFS/S3, Airflow, and Hive/Kyuubi in a hybrid role based in Kraków.
Build data pipelines and data products for subsurface, seismic, and well data on Snowflake/Azure, develop QC dashboards, and enable AI/ML workflows on seismic data.
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.
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