Data Engineer — Portfolio Integration and Decision Support for NATO with security clearance

WLG; Norfolk (VA); On-site; USD 110,000 - 160,000; Full time

Job summary

WLG in Norfolk, VA, is seeking a hands-on Data Engineer to design and build end-to-end data pipelines, models and dashboards for program governance. You will integrate data from multiple sources, apply quality controls and deliver trustworthy decision support for portfolio management.

Requirements include a university degree in a related field, 3+ years in data integration and engineering with SQL, and experience delivering BI products.

Qualifications

• Three+ years in data integration and engineering with hands-on work in the last two years.
• Experience designing, building and deploying data pipelines and data models.
• Proven ability to deliver BI products and dashboards for decision support.

Responsibilities

• Hands-on data integration, engineering and analysis across the portfolio.
• Design, build, test and maintain repeatable pipelines ingesting data from multiple sources.
• Build data models, business rules and quality controls for trustworthy outputs.
• Prototype digital data-collection apps to replace spreadsheet-heavy reporting.
• Create dashboards and visualisations showing programme status and dependencies.
• Apply descriptive and diagnostic analysis and predictive techniques where needed.
• Integrate portfolio data with enterprise sources via approved mechanisms.
• Identify and fix data quality, lineage and governance issues.
• Document sources, models and procedures to enable others to operate the system.

Skills

Data integration

SQL

Data modelling

Business intelligence

English communication

Education

University degree in data science or related field

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.

What you would bring

• 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.

This is a long engagement that renews year on year, not a short project.