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Data Software Engineer
Build and maintain the data platform’s ingestion, transformation and quality services using Kafka, Spark/Flink and DevOps practices to support high-volume gaming platforms.
Data Software Engineer
Build and maintain the data platform that powers high-volume gaming services, using Java/Python, Kafka, Spark/Flink, and DevOps practices to ensure reliable ingestion, transformation, and data quality.
Senior Data Engineer | Databricks y Azure Data Factory
Design and build scalable data pipelines using Databricks, Azure Data Factory, Spark, Delta Lake and MongoDB to transform raw data into business insights for enterprise clients.
Senior Databricks & PySpark Data Engineer (Contract)
Designs and builds scalable data pipelines on Databricks using PySpark for a fintech company in Madrid.
Senior Data Engineer Databricks (m/f/d)
Design and build scalable ETL/ELT pipelines and data ingestion for a data lake/warehouse/lakehouse, ensuring quality and reliability while mentoring the team.
Data Engineer - Security Insights and Automation
Builds and maintains secure, scalable data pipelines for Roche’s DataOne ecosystem, transforming security telemetry into AI-ready datasets using Python, Snowflake, and dbt.
Data Engineer (m/f/d)
Build and maintain security analytics dashboards in Power BI, integrating data from SIEM, EDR, IAM, and other security tools to track KPIs like vulnerability remediation and risk posture for executive stakeholders.
Security Data Engineer (m/f/d)
Build and maintain security data pipelines and dashboards in Power BI and Excel, integrating SIEM, EDR, IAM, and other security tools to produce KPIs and executive reports.
Security Data Engineer (m/f/d)
Builds security analytics dashboards and KPIs in Power BI, integrating data from SIEM, EDR, IAM, and other security tools to drive risk-informed decisions for executives.
Data Engineer (m/f/d)
Build and maintain scalable data pipelines and lakehouse architectures to feed BI, analytics, and AI workloads using SQL, Python, and cloud platforms.
Senior Data Engineer — Ingestion & Lakehouse
Senior Data Engineer builds and maintains scalable data ingestion pipelines and lakehouse infrastructure to power analytics, ML, and product features at an online education platform.
Data Engineer (Remote - EMEA or NAMER)
Build and scale modern data pipelines and APIs using Databricks, Spark, and cloud platforms to power analytics and product features in a fully remote role.
Data Engineer (m/f/d)
Builds and maintains scalable data pipelines and lakehouse architectures to feed BI, analytics, and AI workloads using SQL, Python, and cloud platforms.
Data Engineer (GCP)
Build and maintain scalable ETL/ELT pipelines on Google Cloud Platform to power analytics and AI use cases for enterprise clients.
Data Engineer (Product & Marketing)
Build and maintain the data infrastructure (Google Cloud, BigQuery, Looker) that powers marketing and product decisions, analyze user acquisition campaigns, and create dashboards to track key metrics.
Hybrid Analytics Engineer: Data Pipelines & Insights
Build and optimize data pipelines for an AI-driven orthodontic clinic network, transforming raw data into insights with dbt, SQL, and Python while collaborating with product and ML teams.
Earth Observation Data Engineer
Develop and maintain data pipelines for satellite and Earth Observation data using Python in Linux environments to deliver high-quality data products.
Amazon Operational Excellence Data Engineer
Builds and maintains data pipelines and SQL models to track supply-chain defects and delivery performance for Amazon’s EU inbound logistics.
Senior Data Engineer, Platform
Build and maintain Rover’s data pipelines and analytics infrastructure using Python, DBT, Dagster, and Redshift to ensure reliable, testable data for the business.
AI-Augmented Data Engineer
Build and maintain AI-augmented data pipelines in Snowflake using dbt, Fivetran, and AI coding assistants like Claude Code to deliver clean, tested data for C&A’s e-commerce division.