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

WLG; Den Haag; On-site; EUR 79,000 - 115,000; Full time

Job summary

WLG in Den Haag, Netherlands, seeks a hands-on data engineer to design and deliver end-to-end data integration pipelines across the portfolio, building models and dashboards that support decision making.

You will collaborate with programme managers, data owners and analysts to define requirements, implement repeatable pipelines, ensure data quality and governance, and document solutions so others can operate them independently. This is a long engagement renewing yearly.

Qualifications

• University degree in data science, CS, IS, engineering, OR stats, 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.

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.

Skills

Data integration

Data engineering

SQL

Analytics language

Data modelling

Data quality

Governance

Business intelligence

Documentation

Stakeholder engagement

English fluency

Education

University degree in data science, CS, information systems, engineering, OR stats, or related field

Job description

Relocation to the United States — Norfolk, Virginia. We provide the NATO-5 visa for you and your family.This post is a full employment contract with our delivery partner, with the benefits that go with it — not a contractor or B2B arrangement. Agreeing to be employed is the first condition of the role.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.