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

WLG; Województwo mazowieckie; Presencial; PLN 473.000 - 631.000; Jornada completa

Descripción de la vacante

WLG is seeking a data engineer to join a multinational defence organisation in a full-time role. You will lead end‑to‑end data integration, build pipelines and data models, and develop dashboards for decision support.

Responsibilities include designing repeatable data workflows, ensuring data quality, and collaborating with programme staff to operationalise insights.

Formación

• University degree or equivalent experience in a relevant field.
• End-to-end delivery experience from identifying need to an operational solution.
• 3 of last 5 years in data integration and engineering, with hands-on in last 2.

Responsabilidades

• Hands-on data integration, engineering and analysis across the portfolio.
• Designing, building, testing and maintaining repeatable pipelines ingesting data from multiple sources.
• Building data models, definitions, rules and quality controls for trustworthy outputs.
• Prototyping digital data-collection apps to replace spreadsheet-heavy reporting.
• Building dashboards, metrics and visualisations to show programme status.

Conocimientos

SQL

Data integration

Data modelling

Business Intelligence

Governance

English

Educación

University degree in data science / CS / information systems

Descripción del empleo

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.