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 and optimize data pipelines on Azure, Databricks, and Apache Airflow in a hybrid Utrecht role, translating business requirements into scalable solutions while collaborating with stakeholders.
DevOps data engineer in the Police's Business Intelligence product line in Zwolle, designing, developing, and implementing data pipelines and software solutions using Java, Python, Kubernetes, and related tools in an Agile/Scrum team.
AWS Data Engineer building and maintaining data pipelines using AWS, Databricks, PySpark, Airflow, and Kafka, with SQL and shell scripting.
Design, build, and optimize scalable data pipelines and cloud data platforms on AWS using Python, PySpark, and services like Glue, EMR, S3, Redshift, and Athena.
Senior Data Engineer building ELT/ETL pipelines, data models in Snowflake, and Power BI dashboards for BlackLine's AI-powered Invoice-to-Cash SaaS platform.
Senior Data Architect at a supply-chain SaaS platform, responsible for designing enterprise data models, building scalable ETL/ELT pipelines, and translating complex customer ERP data into canonical supply-chain datasets using SQL, Python, and cloud lakehouse technologies.
Evaluate AI-generated data engineering implementations—ETL/ELT pipelines, data warehouses, distributed systems—using frontier AI coding agents, with Python and SQL as core technologies.
Data & Business Intelligence Engineer – Investment Technology India (Remote) | Full-Time | Permanent | Venture Capital / Investment Tech Placed by Hotsourced – connecting top Indian talent with world-class global…
Senior Data Engineer designing and building scalable ETL/ELT pipelines, data lakes, and data warehouses on AWS (Lambda, Glue, S3, Redshift, EMR, MWAA/Airflow) with Snowflake and Python across multiple Indian cities.
GCP Data Engineer building scalable batch and real-time data pipelines on Google Cloud Platform, supporting AI/ML and analytics use cases with BigQuery, Dataflow, Python, and SQL.
Senior Data Engineer building and supporting enterprise data infrastructure using PySpark, AWS (Glue, Lambda, S3, Redshift), and Apache Airflow, with production operations and team mentorship responsibilities.
GCP Data Engineer at TCS Chennai responsible for developing, deploying, monitoring, and optimizing batch ETL workflows using Scala, PySpark, Airflow, BigQuery, and Dataproc on GCP with Medallion architecture experience.
Design and develop data pipelines and architectures using AWS, Databricks, PySpark, Kafka, and Airflow, working with SQL/NoSQL databases, shell scripting, and data integration techniques in complex, deadline-driven projects.
GCP Data Engineer at TCS responsible for building and maintaining data pipeline architecture using BigQuery, Pub/Sub, Dataflow, and Airflow, with strong SQL and Python skills for data migration and transformation.
GCP Data Engineer building scalable, AI-ready data pipelines and cloud-native data solutions on Google Cloud Platform, collaborating with enterprise architects and analytics teams on large-scale data modernization initiatives.
Senior Data Engineer building and optimizing batch and streaming ETL workflows on GCP using Scala, Spark, Kafka, Airflow, and Dataproc within TCS's Data & Analytics unit.
Hands-on Solutions Architect role designing and building enterprise-grade data platforms on GCP/AWS using Snowflake, Databricks, BigQuery, Airflow, and Kafka to power AI/ML initiatives, with pre-sales responsibilities at a tech consultancy in Bangalore.
Freelance Senior Data Engineer building and maintaining Python-based ETL pipelines and cloud data models to support an eCrime defense team's threat detection and investigation efforts.
Data Engineer building and optimizing Big Data pipelines with PySpark, Apache Spark, Airflow, and Python, including Spark performance tuning and CI/CD integration on cloud platforms (GCP preferred).
Design, develop, and maintain scalable batch and streaming data engineering solutions on AWS using Python, PySpark, Databricks, Kafka, and Airflow, while leading technical discussions and supporting production platforms.
We couldn't check your fit for this role — add a CV to your profile to see it next time.