Tech jobs
Job listings
Senior Data Engineer
Build and maintain a GCP-based data lake and Spark pipelines to process ride-hailing, delivery, and financial data for a super-app serving 45+ cities across Africa and Europe.
AI Data Engineer
Design and deploy AI/ML pipelines and GenAI apps to personalize trading experiences, predict customer churn, and automate marketing workflows using Python, SQL, and AWS SageMaker.
Sr. Data Engineer
Build and maintain the data pipelines, warehouses, and models that power AI agents handling real client operations, integrating messy business data into reliable workflows.
Senior Data Engineer
Design and build secure, high-performance data pipelines and lakehouse architectures to power AI-driven supply-chain forecasting and generative tools, integrating SAP systems and unstructured data like drawings and regulatory documents.
Lead Data Engineer
Lead a team to design, build, and maintain a reliable data platform using Databricks, DBT, and Airflow for analytics and self-service BI across the GAC Group.
Principal Data Engineer
Design and maintain scalable data pipelines using Databricks, dbt, AWS services, Python, and Java, while mentoring junior engineers and collaborating with stakeholders.
Staff Data Engineer
Build and scale data pipelines, transform raw data with dbt, and deploy monitoring for analytics and ML in a cannabis-focused startup.
Associate Data Engineer
Maintains and troubleshoots data pipelines, validates data quality, and supports ETL workflows using SQL and Python for a healthcare-focused product team.
Junior Data Engineer
Builds and maintains scalable data pipelines using Databricks, dbt, AWS services, and Python/Java to support secure, mission-driven solutions for federal agencies.
Senior Data Engineer
Build and maintain scalable data pipelines and warehouse models that power analytics, AI, and customer-facing products in a modern data stack.
Data Engineer II — Kimball Modeling & Data Pipelines
Designs Kimball-style data warehouse models and builds scalable ETL pipelines using SQL, Python, and dbt to modernize analytics infrastructure.
Junior Data Engineer: Scale Data Pipelines with Databricks
Build and scale data pipelines using Databricks, AWS, and SQL to deliver reliable data models and insights for analytics teams.
Senior Analytics & AI Engineer — Data, AI, & MLOps
Senior engineer building and maintaining the BI semantic layer, ensuring data quality, and enabling AI projects with dbt and analytics best practices.
Analytics Engineer & Data Enablement (dbt/Airflow)
Build and maintain dbt models, create training materials, and teach data-stack best practices to a financial client’s internal teams.
Paris Data Engineer: Real-Time Pipelines & Trusted Data
Build and maintain batch and real-time data pipelines, design schemas, and ensure trusted datasets for analytics and product teams using SQL, Python, Airflow, dbt, Kafka, and Snowflake/BigQuery.
Data Engineer
Build and maintain batch and streaming pipelines for a fast-growing e-commerce platform, ensuring clean, reliable data in Snowflake/BigQuery using Airflow, Kafka, and dbt.
Data Engineer
Build and maintain scalable data ingestion pipelines and ETL/ELT processes for a cardiac remote monitoring platform using Python, Spark, and AWS.