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.
Build scalable data platforms and ETL/ELT pipelines on Google Cloud Platform using BigQuery, PySpark, Cloud Composer, Dataflow, Pub/Sub, Python, and SQL.
Data Engineer designing and developing scalable ETL pipelines and data solutions using Azure Databricks, Data Factory, Data Lake, SQL, Python, and PySpark.
Data Engineer placed at BNP Paribas (Portugal) designing ETL data pipelines, data models, and BI solutions using SQL, Python/PySpark, Dataiku, and Tableau within the bank's Risk Reporting & Analytics team.
Lead the design and development of scalable data processing applications using Python, PySpark, Databricks, AWS, and Kafka—90% hands-on engineering with 10% team mentoring.
Data Engineer building scalable batch and streaming data pipelines on AWS Cloud using Databricks, Airflow, Python, PySpark, and Kafka at a TCS Bangalore office.
Build and optimize scalable AWS data pipelines and ETL/ELT processes using Python, SQL, and PySpark for an AI-driven consumer intelligence platform, with hybrid work in London.
Data Engineer designing and building scalable AWS data pipelines with PySpark/EMR for reporting and analytics in a hybrid role.
Design and build graph-driven Python services and APIs using Neo4j, Spark/PySpark, and Databricks, collaborating with engineers and data scientists to deliver scalable data products.
Build and maintain Snowflake-based data solutions, ETL/ELT pipelines, and data services for an Accounts platform using Snowflake, SQL, Python/PySpark, DBT, and AWS services in an agile, cross-functional team.
Senior Data Engineer designing, developing, and maintaining Azure data pipelines (Data Factory, Synapse, Python, PySpark) for a private bank, with mentoring and DataOps/DevOps leadership responsibilities.
Databricks Data Engineer building scalable batch/streaming data pipelines and optimizing Lakehouse architectures on Databricks for client-facing consulting engagements at NTT DATA.
Designs, develops, and maintains Power BI dashboards, SQL-based data models, and ETL/ELT pipelines on Azure to support ALCOVA Mortgage's analytics and reporting needs in a fully remote setting.
Builds and operates financial-data products for Toss Core, designing scalable DW models and BI strategies to unify revenue, cost, asset, and liability data across the org.
Building data pipelines, maintaining ML models, and integrating diverse data sources into a unified analytics environment using Databricks, MLflow, and PySpark for GenAI and agent-based solutions.
ML Engineer building scalable data pipelines and GenAI/Agentic AI solutions on Databricks Lakehouse using PySpark, MLflow, and Python AI frameworks for consulting clients across Europe.
GCP Data Engineer (hybrid, Warsaw) designing and maintaining ETL/ELT pipelines, streaming solutions, and data warehouse models using BigQuery, Dataflow, Pub/Sub, Cloud Composer, and Python for T-Mobile's data transformation program.
Data Engineer building scalable data pipelines on GCP (BigQuery, Cloud Composer, Terraform) using SQL and Python, based in Poland.
Data Engineer designing and building scalable data processing platforms on Azure (Databricks, Data Factory, Synapse, Fabric) using SQL, Python, and Spark/PySpark, collaborating with BI and Data Science teams.
Data Architect / Senior Data Engineer designing and building a Central Data Platform on Azure using Databricks, dbt, Python/PySpark, and Terraform for a large insurance client project.
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.
We couldn't check your fit for this role — add a CV to your profile to see it next time.