Data Engineer
Core
Design, implement, and orchestrate scalable end-to-end data solutions, from ingestion to serving layers, to power analytics and AI initiatives for clients.
Role type
Senior Data Engineer
Builds
Production-ready data pipelines, data foundations, and serving layers for client analytics and AI use cases
Domain
Data Engineering, Cloud Data Platforms, AI/BI Infrastructure
Deliverable
production ML models | product features
Required skills
Python, data pipeline orchestration (Databricks, Airflow, dbt), cloud platforms (Azure, AWS, GCP), distributed computing, incremental/streaming workloads, data governance & security, CI/CD, IaC
Preferred skills
Data mesh concepts, DataOps, knowledge of BI/AI workload challenges
Technologies
Databricks, Azure, AWS, GCP, Snowflake, SQL, Airflow, dbt
Responsibilities
Translate business requirements into technical specifications; design and build scalable data pipelines; contribute to sales proposals and business development; serve as a subject matter expert for client advisory; support junior colleagues through knowledge sharing
Seniority
Senior, hands-on IC (via careerplan.io/jobs/744000129485310-data-engineer-at-sopra-steria)
