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

Wlgroup; Eigenbrakel; Sur place; EUR 78 000 - 130 000; Plein temps

Résumé du poste

Wlgroup in Belgium (Waals-Brabant, Eigenbrakel) relocates to Norfolk, VA for NATO-5 visa project. This hands-on data engineering role builds pipelines, models data, and turns it into decision support across infrastructure programmes.

You will work with programme managers and data owners to understand decisions, implement repeatable data ingestion, ensure data quality and governance, prototype data-collection apps, and deliver dashboards showing status and dependencies.

Qualifications

• University degree in a related field or equivalent experience.
• Recent end-to-end data delivery projects completed personally.
• 3+ of the last 5 years in data integration and engineering, with hands-on work in the last 2 years.
• 2+ of the last 5 years using SQL and an analytical language (Python or R) in the last 2 years.
• Experience designing or building digital data-collection and workflow solutions.
• At least 3 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.

Responsabilités

• Hands-on data integration, engineering and analysis across the portfolio, starting with the infrastructure programmes.
• Work directly with programme managers, analysts and data owners to understand which decisions need which information.
• Design, build, test and maintain repeatable pipelines ingesting data from several sources.
• Build data models, common definitions, business rules and quality controls for trustworthy output.
• Prototype digital data-collection apps to replace spreadsheet-heavy reporting.
• Build dashboards, metrics and visualisations showing programme status and dependencies.
• Apply descriptive and diagnostic analysis, and predictive techniques where needed.
• Integrate portfolio information with authoritative enterprise sources through approved mechanisms.
• Find and fix data quality, ownership, lineage and governance problems.
• Document sources, models, transformations and operating procedures so someone else can run it.

Connaissances

Data integration

Data engineering

Data analysis

BI product development

Stakeholder collaboration

SQL

Python/R

Documentation

Formation

University degree in data science, computer science, information systems, engineering, operations research, statistics or closely related field

Outils

Python/R

Description du poste

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.