Senior Data Engineer with GDS experience
- Design & Development: Build scalable, serverless data solutions on Azure and AWS using tools like Synapse, ADF, AWS Glue, Lambda, and Athena.
- Pipelines & Processing: Create secure, efficient batch and real-time data pipelines with services such as Azure Data Factory and AWS Glue.
- Data Architecture: Apply advanced modelling (e.g., Kimball) and design cloud-native architectures optimised for serverless environments.
- Quality & Governance: Implement robust data governance, security, and compliance with UK regulations (GDPR, FOI, NCSC).
- Platform Engineering: Develop reusable cloud data platform components using tools like S3, Data Lake Gen2, and Logic Apps.
- Monitoring & Ops: Ensure stability of production data flows with automated monitoring (Azure Monitor, CloudWatch).
- GDS Compliance:
Ensure all data engineering outputs adhere to GDS Service Standard and Technology Code of Practice. Support service assessments, audits, and documentation as required by UK government bodies.
- Strong stakeholder engagement, clear communication, team collaboration, and ability to work independently
- Proactive, analytical, and committed to continuous learning and innovation
- Supportive team player with mentoring and coaching experience
- Experience in both public and private sectors
- Deep understanding of data protection and security standards
- Multi-cloud expertise and open-source contributions
- Professional certifications (e.g., Azure Data Engineer, AWS Data Analytics)
- Cloud & Serverless: Azure (Synapse, Functions, ADF), AWS (Glue, Lambda, Athena, Kinesis, S3)
- Databases: Azure SQL, Cosmos DB, AWS Redshift, Aurora, DynamoDB
- Programming: Python, SQL (R desirable)
- DevOps & IaC: Terraform, ARM/Bicep, CloudFormation, Azure DevOps, GitHub Actions
- DataOps: CI/CD, automation, monitoring, and agile delivery
- Modelling: Kimball, Data Vault, Star Schema, Graph
- Streaming: Kinesis, Event Hubs
- Must be eligible for Security Clearance
- Experience in delivering customer value through Agile delivery methodology
- Contribute towards wider Data Practice through supporting pre-sales, knowledge sharing and generating offerings and accelerators
- 4+ years of data engineering experience
- Hybrid working model with some flexible working
- 25 days' holiday
- Private Medical Health care via Vitality
- Pension contribution, Life Assurance
- Professional certifications supported as part of learning and development.
- A range of retail discounts to enhance your lifestyle, encompassing restaurants, supermarkets, travel, leisure activities and health and well-being services.
- Access to our Employee Resource Groups, our groups represent diverse backgrounds and provide a platform for colleagues to connect, learn, and support one another.
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