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Closed
Datatech

Data Engineer DV Cleared

Datatech London
32 - 40 hour


Show Recently closed jobs

    Closed vacancy

    You are currently viewing a closed vacancy. You can no longer apply for this vacancy.

    Datatech

    Data Engineer DV Cleared

    Closed
    Datatech London
    32 - 40 hour
    Status Closed
    Applications are no longer accepted

    What we ask

    Education

    No minimum education required

    What we offer

    Hours
    32 to 40 hours per week
    Employment type
    permanent

    Job description

    Here's a sharper, more compelling version in your tone, with stronger pull and a bit more energy without overdoing it:

    ---

    **DV Cleared Data Engineers**
    UK, London, Manchester, Bristol, Hybrid

    🚨 **Active DV Clearance required, no exceptions**

    We're supporting a leading UK organisation delivering secure, production-grade data platforms across defence and national security.

    This is not theory, or internal tooling.
    This is real engineering, in live environments, where the output directly supports critical decision making.

    ---

    ### **The Role**

    You'll design, build and run end-to-end data pipelines powering high-impact systems in secure environments.

    Working in modern cloud architectures, you'll help deliver scalable, resilient platforms where performance and reliability genuinely matter.

    ---

    ### **What you'll be doing**

    • Building robust pipelines across ingestion, transformation and serving layers
    • Working with Python, SQL and APIs to curate and operationalise data
    • Handling large scale, complex datasets, structured and unstructured
    • Integrating multiple data sources into scalable platforms
    • Collaborating with engineers, architects and stakeholders to deliver real outcomes

    ---

    ### **Tech environment**

    Python, SQL, Spark, Java or Scala
    AWS, Azure or GCP
    Modern, distributed data architectures

    ---

    ### **What we're looking for**

    • Active DV clearance, essential
    • Proven experience building production grade data pipelines
    • Strong engineering mindset, not just scripting or analysis
    • Experience with big data tooling and cloud platforms
    • Comfortable operating in fast paced, delivery focused environments

    ---

    ### **Why this role**

    You'll be working on systems that actually get used, in environments where failure isn't an option.

    High impact, high trust, and technically challenging work, with real ownership from day one.

    ---

    **DV cleared and open to a conversation?
    Let's talk
    Applications are no longer accepted
    Applications are no longer accepted

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