Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
Design, build, and optimize scalable data processing platforms and ETL/ELT pipelines on Azure Databricks, collaborating with BI and Data Science teams in a hybrid office setup.
Senior ML Engineer leading end-to-end ML pipelines at Lipton Teas & Infusions, using Databricks and AzureML to build scalable ML services across computer vision, forecasting, and LLM-enabled workflows while mentoring the ML chapter.
Build and maintain data pipelines and QC dashboards for seismic and well data using Python and SQL, partnering with geophysicists to enable AI/ML workflows on subsurface and drilling data sources like Petrel and DISKOS.
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.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
