Data Engineer DV Cleared

Datatech Analytics

Belfast City District

Hybrid

GBP 70,000 - 110,000

Full time

14 days+
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Job summary

Datatech Analytics seeks DV cleared Data Engineers to join live environments across Belfast, London, Manchester and Bristol in a hybrid model. Design and build modern data platforms and production-grade pipelines in secure cloud environments for critical national-scale systems.

You will work with Python, SQL, APIs, Spark or Java/Scala in AWS, Azure or GCP, delivering scalable ingestion, processing and serving layers while collaborating with engineering and delivery teams on mission-critical

Qualifications

  • Active DV clearance essential.
  • Production-scale pipeline experience.
  • Strong engineering and platform mindset.
  • Big data tooling and cloud ecosystem exposure.
  • Comfortable in delivery-focused, secure environments.

Responsibilities

  • Build scalable pipelines across ingestion, processing and serving layers.
  • Work with Python, SQL, APIs and distributed data tooling.
  • Handle structured and unstructured workloads at scale.
  • Integrate multiple sources into modern cloud platforms.
  • Collaborate across engineering and delivery on mission-critical programmes.

Skills

Python
SQL
APIs
Spark
Java/Scala
Cloud

Tools

AWS
Azure
GCP

Job description

**DV Cleared Data Engineers**

Belfast, London, Manchester & Bristol | Hybrid

**Active DV clearance required**

Live systems, real consequences, no sandbox.

We're working with a major UK organisation delivering secure, enterprise-scale data platforms across defence and national security programmes. This is hands-on engineering in operational environments, where scale, resilience and reliability aren't optional.

**The role**

Design and build modern data platforms and production-grade pipelines across secure cloud environments working alongside engineering and architecture teams on high-volume systems that drive real operational outcomes.

**What you'll do**
  • - Build scalable pipelines across ingestion, processing and serving layers
  • - Work with Python, SQL, APIs and distributed data tooling
  • - Handle structured and unstructured workloads at scale
  • - Integrate multiple sources into modern cloud platforms
  • - Collaborate across engineering and delivery on mission-critical programmes
**The environment**

Python, SQL, Spark, Java or Scala · AWS, Azure or GCP · modern distributed and cloud-native architectures

**What we need**
  • - Active DV clearance essential
  • - Production-scale pipeline experience
  • - Strong engineering and platform mindset
  • - Big data tooling and cloud ecosystem exposure
  • - Comfortable in delivery-focused, secure environments
**Why consider it**

Hard engineering problems, high-trust environments, and real technical ownership from day one. The systems are live and the outcomes matter.

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