Tech jobs
Job listings
Backend Engineer II: Scale Data Pipelines (Remote Spain)
Build and maintain scalable data pipelines for Affirm’s Furnishing Platform using Python or Kotlin, AWS, and MySQL/Spark.
Senior Data Engineer - PySpark/Python
Senior Data Engineer builds and optimizes PySpark/Python pipelines to transform and govern large-scale data in KPMG’s data lake, ensuring quality and enabling business decisions.
Senior Data Engineer (Databricks & PySpark)
Build and optimize end-to-end data pipelines using Python, PySpark, and Databricks for large-scale analytics projects.
Senior Data Engineer – PySpark, Python
Builds and optimizes PySpark/Python data pipelines and data-quality rules for a data lake, collaborating with data-office teams to ensure robust, scalable solutions.
Data Engineer AWS & Big Data — Flexible Hours
Data Engineer builds and maintains AWS-based data lakes and streaming pipelines using Spark, Python, SQL, and Kafka for batch and real-time processing.
Data Engineer - QuantumBlack, AI by McKinsey
Build and own scalable data pipelines and analytics platforms to support AI adoption and business impact, collaborating with cross-functional teams and mentoring junior engineers.
Remote Senior Data Engineer - AWS Cloud
Senior Data Engineer builds and maintains cloud data platforms on AWS using Spark, Python, and data pipelines for batch and streaming workloads.
Freelance Senior Data Engineer - Remote (AWS/Spark/Oracle)
Freelance role building and maintaining data pipelines in Oracle-to-cloud migrations using Python, SQL, AWS, and Spark with a focus on ETL/ELT automation.
Data Engineer: Spark & Scala ETL Pipelines with CI/CD
Builds and maintains scalable Spark/Scala ETL pipelines for a banking project, ensuring data quality and collaborating with cross-functional teams.
Lead Data Engineer (m/f/d)
Lead a team to design and maintain large-scale Azure-based data pipelines for financial reporting, ensuring compliance and data quality across SAP-integrated systems.
Senior Databricks Data Engineer - ETL & Data Platform Lead
Lead the design and implementation of ETL pipelines and data platforms using Databricks and Spark, set technical standards, and mentor teams.
Senior Big Data Engineer — Remote, Lakehouse & AI-Ready
Design and build end-to-end big-data pipelines using Spark, Python, Scala, Airflow and Databricks, and define Lakehouse and Data Mesh architectures for cloud environments.
Data Engineer: Spark, Databricks & Cloud Lakehouse
Builds scalable data pipelines and optimizes cloud-based data lakehouse platforms using Databricks, Spark, Airflow, and Iceberg for digital-transformation projects.
Data Engineer | Big Data / Spark | Hybrid Madrid Banking
Builds and maintains big-data pipelines for a Madrid-based bank using Python, Scala, Spark, Airflow, and Kubernetes.
Senior Data Engineer (m/f/d)
Build and maintain large-scale data pipelines in Azure using Databricks, Synapse, and IDMC to feed financial reporting and governance-driven environments.
Remote Senior Data Engineer - AWS Data Platform & Lakehouse
Senior Data Engineer builds and maintains scalable AWS data pipelines, implements DataOps practices, and designs Lakehouse architectures with Spark, Kafka, and Redshift/Snowflake.
AWS Data Engineer | Lakehouse & ETL Specialist
Designs and implements AWS-based data pipelines and ETL/ELT workflows for a lakehouse architecture, using Spark and infrastructure-as-code tools.
Senior Data Engineer - Databricks (m/f/*)
Build and optimize scalable data pipelines on Databricks using Spark, Delta Lake, and Unity Catalog to power analytics and ML workflows for enterprise clients.
Data Engineer (m/f/d)
Build and maintain data pipelines, clean and provision data, and develop ML algorithms using Python, SQL, Spark, and Kafka to extract business insights.
Data Engineer (m/f/d)
Design and scale data pipelines, ensure data quality, and develop ML algorithms to extract business insights for a European retail group.