Data Engineer

One of our public sector clients is looking for an experienced Data Engineer to join their team to assist with the development of Data Warehouse products.

Essential experience:

• Python, PostgreSQL, REST APIs, Modern DevOps and CI/CD practices and tooling including Docker, GitLab CI, AWS Code Pipeline, AWS CDK and AWS CloudFormation
• Expertise in SQL, data transformation and analysis
• Delivering high quality software collaboratively in high-performing, cross-functional development teams.
• Experience implementing data ETLs, data streaming systems and data integration solutions
• Experience working in the Agile delivery models - such as Scrum and/or Kanban frameworks.

Additional desirable experience:

• Data warehousing
• Hybrid on-premises/cloud solutions
• AWS Glue, Step Functions, Lambda functions, S3, RDS, Data Migration Service
• Using testing tools for unit testing, including system test automation frameworks
• OpenShift
• Post GIS for PostgreSQL
• Designing and implementing solutions using service and event-based architectures
• Monitoring, alerting, intelligence tools and processes, including Grafana
• Human-centered, research-driven, inclusive design practices
• TDD

This is a 6-month contract with possible extensions. Remote contract, with the rare visit to Edinburgh/ Glasgow office. Paying a day rate circa £420 (outside ir35)

If interested, please apply via the ad.

McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.

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