Data Engineer

Requirements

Must have:

- Proven experience building production-ready solutions on Google Cloud - Expertise with batch and streaming frameworks like Apache Spark or Beam - Strong understanding of data storage, pipeline patterns, and event-driven architectures - Experience with CI/CD, version control, automated testing, and Agile delivery - Ability to communicate clearly to both technical and non-technical stakeholders - Mentoring or coaching experience - Bonus skills: Kafka, enterprise data platform migrations, RDBMS experience (Postgres, MySQL, Oracle, SQL Server), and exposure to ML pipelines - Eligible for UK Security Clearance (SC or DV) if required

Responsibilities:

- Lead the design, development, and deployment of scalable data pipelines using BigQuery, Dataflow, Dataproc, and Pub/Sub - Automate ETL/ELT workflows and orchestrate pipelines with tools such as Cloud Composer - Contribute to architecture and end-to-end solut...