Data Engineer at Experis UK, Matlock Bath, £Contract Rate

Contract Description

12 months

Bath - x3 days onsite

£550 Outside ir35

Role Overview

Active DV clearance (SC Considered) required

We are seeking an experienced DV (SC Considered) Cleared Data Engineer to support a high‑profile, mission‑critical programme within a secure government environment. The role will focus on designing, building and maintaining robust data pipelines and platforms that support advanced analytics, intelligence, and operational decision‑making.

Key Responsibilities

  • Design, build and maintain scalable data pipelines (batch and/or streaming) within secure environments
  • Develop and optimise ETL / ELT processes for high‑volume, structured and semi‑structured datasets
  • Work with stakeholders to translate complex requirements into technical data solutions
  • Ensure data platforms meet security, accreditation, and information assurance standards
  • Support data quality, lineage, monitoring, and performance optimisation
  • Contribute to data architecture and platform evolution, including cloud and on‑prem solutions
  • Collaborate in Agile delivery teams (Scrum / SAFe environments)

Required Skills & Experience

  • Proven experience as a Data Engineer in secure or government environments
  • Strong skills in Python, SQL, and data pipeline development
  • Experience with data integration tools (e.g. Airflow, NiFi, Azure Data Factory, AWS Glue, or similar)
  • Hands‑on experience with cloud platforms (AWS, Azure, or GCP - secure tenants preferred)
  • Knowledge of data modelling, data warehousing, and big data technologies
  • Familiarity with DevOps / CI‑CD practices within restricted environments
  • Strong understanding of data security, governance, and access controls

Desirable Experience

  • Experience working within UK defence, intelligence, or national security programmes
  • Exposure to Apache Kafka, Spark, Hadoop, or similar technologies
  • Experience supporting data science or advanced analytics use cases
  • Background working with classified datasets Contract Details

Apply now to be part of this impactful opportunity!