About The Position
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. This is a long engagement that renews year on year, not a short project.
Requirements
- 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.
- Security clearance.
Responsibilities
- 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.
Benefits
- Relocation to the United States — Norfolk, Virginia.
- We provide the NATO-5 visa.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
