AI Summary
Design and build data integration pipelines and models for a multinational defence organisation. Collaborate with programme managers and analysts to deliver trustworthy decision‑support dashboards and analytics. Require strong SQL, data modeling, and data integration experience with recent end‑to‑end delivery.
Key Highlights
Hands‑on data integration and engineering across large defence infrastructure programmes
Design and maintain repeatable pipelines, data models, and quality controls
Provide NATO‑5 visa sponsorship for relocation to Norfolk, Virginia
Key Responsibilities
Hands-on data integration, engineering and analysis across the portfolio, starting with the infrastructure programmes.
Work directly with programme managers, analysts and data owners to understand which decisions need which information.
Design, build, test and maintain repeatable pipelines that ingest, transform and reconcile data from several sources.
Build data models, common definitions, business rules and quality controls that make the output trustworthy.
Prototype digital data-collection applications that replace spreadsheet-heavy manual reporting.
Build dashboards, metrics and visualisations that show programme status and dependencies.
Apply descriptive and diagnostic analysis, and predictive techniques where the decision genuinely needs them.
Integrate portfolio information with authoritative enterprise sources through approved mechanisms.
Find and fix data quality, ownership, lineage and governance problems.
Document sources, models, transformations and operating procedures so somebody else can run it.
Technical Skills Required
Benefits & Perks
NATO-5 visa sponsorship
Long‑term engagement with annual renewal
Job Description
Relocation to the United States — Norfolk, Virginia. We provide the NATO-5 visa.
A multinational defence organisation runs a large infrastructure and capability portfolio, and the information behind it lives in too many places. This is a hands-on data engineering seat: build the integration, model the data, and turn it into decision support that holds up.
What You Would Be Doing
- Hands-on data integration, engineering and analysis across the portfolio, starting with the infrastructure programmes.
- Working directly with programme managers, analysts and data owners to understand which decisions need which information.
- Designing, building, testing and maintaining repeatable pipelines that ingest, transform and reconcile data from several sources.
- Building the data models, common definitions, business rules and quality controls that make the output trustworthy.
- Prototyping digital data-collection applications that replace spreadsheet-heavy manual reporting.
- Building dashboards, metrics and visualisations that show programme status and dependencies.
- Applying descriptive and diagnostic analysis, and predictive techniques where the decision genuinely needs them.
- Integrating portfolio information with authoritative enterprise sources through approved mechanisms.
- Finding and fixing data quality, ownership, lineage and governance problems.
- Documenting sources, models, transformations and operating procedures so somebody else can run it.
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- A university degree in data science, computer science, information systems, engineering, operations research, statistics or a closely related field, or equivalent experience.
- Recent end-to-end delivery you did personally, from identifying the need to an operational solution.
- At least three of the last five years in data integration and engineering, with hands-on work inside the last two.
- At least two of the last five years using SQL and an analytical language, hands-on inside the last two.
- Experience designing or building digital data-collection and workflow solutions.
- At least three of the last five years personally building business intelligence products.
- Hands-on data modelling, data quality and governance work.
- Experience documenting and handing over a solution so it survives without you.
- At least two of the last five years working directly with operational users and programme staff.
- Fluent professional English.
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