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

WLG; Brunssum; On-site; EUR 98,000 - 133,000; Full time

Job summary

WLG aims to hire a hands-on data engineer to build pipelines, data models and dashboards across the programme portfolio in Norfolk, VA. You will transform diverse data sources into trusted decision-support and work closely with programme managers and data owners.

Relocation to the United States is provided with NATO-5 visa; this is a full employment contract with our delivery partner, not a contractor arrangement. You will deliver end-to-end data solutions for critical defence programmes.

Qualifications

• University degree or equivalent experience in data fields.
• End-to-end data delivery experience.
• 3 of the last 5 years in data integration and engineering.
• 2 of the last 5 years using SQL and an analytical language.
• Experience designing digital data-collection and workflow solutions.
• At least 3 of the last 5 years building business intelligence products.
• Hands-on data modelling, data quality and governance work.
• Experience documenting and handing over a solution.
• 2 of the last 5 years working with operational users and programme staff.
• Fluent professional English.

Responsibilities

• Hands-on data integration, engineering and analysis across the portfolio.
• Collaborate with programme managers and data owners to define information needs.
• Design, build, test and maintain pipelines to ingest and reconcile data.
• Build data models, definitions, rules and quality controls for trustworthiness.
• Prototype digital data-collection apps to replace spreadsheet reporting.
• Build dashboards and visualisations showing programme status and dependencies.
• Apply descriptive and diagnostic analysis, with predictive techniques where needed.
• Integrate portfolio data with enterprise sources through approved mechanisms.
• Identify and fix data quality, ownership, lineage and governance issues.
• Document sources, models and procedures so others can run it.

Skills

SQL

Python

Data modelling

Data governance

Documentation

English fluency

Stakeholder collaboration

Education

University degree in data science, computer science, information systems, engineering, OR equivalent experience

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.