About the role
We’re looking for a senior Cloud Data Engineer with 10 years of hands-on experience to design and run cloud data storage and pipelines. You’ll build secure, scalable data lakes, warehouses and ETL pipelines, mainly on AWS, and keep them reliable, well governed and well documented.
What you’ll do
- Design and implement scalable, secure cloud data storage.
- Build and maintain robust pipelines to ingest, transform and distribute large datasets.
- Automate data workflows and integrate third-party services.
- Enforce data governance and security policies, including encryption and access controls.
- Monitor performance with CloudWatch, find bottlenecks and improve efficiency.
- Run data quality checks to keep data accurate.
- Optimize data retrieval and build APIs for enterprise data consumers.
- Troubleshoot and resolve data pipeline failures.
- Plan disaster recovery for cloud data systems with IT and security teams.
- Document processes, data flows, lineage and metadata.
- Support data modeling, analysis and reporting with architects, analysts and engineers.
What you’ll bring
- 10 years of hands-on data engineering experience.
- Cloud platforms: AWS (including Kubernetes), plus Google Cloud and Microsoft Azure.
- Data lakes, data warehouses and cloud storage such as S3.
- ETL pipeline development, with GitHub Actions for promoting code.
- Python, Java and Scala.
- SQL, NoSQL, Hadoop and PostgreSQL.
- A solid understanding of data security best practices and compliance regulations.
- Strong troubleshooting and analytical skills.