Job Title: Senior Data Engineer
Location: Reading (Hybrid)
Contract Length: 6 Months
Rate: £500 a Day
Key Responsibilities
- Design and maintain secure, scalable, cloud-based data platforms and architectures.
- Develop enterprise data pipelines, integration frameworks, and data products.
- Implement DataOps, DevOps, CI/CD, and Infrastructure as Code best practices.
- Ensure data quality, governance, security, compliance, and operational reliability.
- Support cloud migration and data modernisation programmes.
- Provide technical leadership, mentoring, and stakeholder engagement.
- Enable advanced analytics, AI, and data-driven decision-making capabilities.
Requirements
- Experience within Defence, MOD, Aerospace, or highly regulated environments.
- 7+ years' experience in Data Engineering, Data Platforms, or related disciplines.
- Strong expertise in enterprise-scale data architecture and cloud data platforms.
- Hands-on experience with Azure, AWS, or GCP.
- Strong SQL, Python, Spark, ETL/ELT, and data integration experience.
- Experience with DataOps, CI/CD, Infrastructure as Code, and automation.
- Excellent stakeholder management and leadership skills.
Desirable
- Cloud or Data Engineering certifications.
- Experience with Databricks, Snowflake, Fabric, Airflow, or Azure Data Factory.
- Knowledge of AI/ML, MLOps, Data Mesh, or Data Fabric architectures.
- TOGAF, DAMA CDMP, or related certifications.
- Experience leading large-scale data transformation programmes.
- Knowledge of defence security standards and classified environments.