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

Wlgroup; Brussel Hoofdstad; Sur place; EUR 78 000 - 113 000; Plein temps

Résumé du poste

Wlgroup is relocating a data engineering role to Norfolk, Virginia, USA, offering a NATO-5 visa and long-term engagement. The incumbent will build integrations, data models and dashboards, enabling decision support across a portfolio of programmes.

Responsibilities include delivering end-to-end data pipelines, partnering with programme managers and data owners, and establishing governance and data quality standards for trustworthy outputs.

Qualifications

• 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.

Responsabilités

• Hands-on data integration, engineering and analysis across the portfolio.
• Work with programme managers, analysts and data owners to define needed information.
• Design, build, test and maintain repeatable data pipelines from multiple sources.
• Build data models, business rules and quality controls for trustworthy output.
• Prototype digital data-collection apps to replace spreadsheet reporting.
• Create dashboards, metrics and visualisations showing programme status and dependencies.
• Apply descriptive and diagnostic analysis, with predictive techniques where needed.
• Integrate portfolio information with enterprise sources via approved mechanisms.
• Identify and fix data quality, ownership, lineage and governance issues.
• Document sources, models, transformations and operating procedures for others to run.

Connaissances

SQL

Data integration

Data modelling

Data quality

Data governance

BI / Analytics

Documentation

Formation

University degree (data science, CS, IS, engineering, OR statistics)

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.