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

Wlgroup; Brunssum; On-site; EUR 87,000 - 130,000; Full time

Benefits offered by this job

NATO-5 visa

Job summary

Wlgroup is seeking a data engineering professional for a long-term engagement in a role relocating to the United States (Norfolk, VA) with NATO-5 visa support. You will lead end-to-end data integration, modeling, and decision-support work across infrastructure programmes.

You will build repeatable pipelines, data models and BI products, working closely with programme managers and data owners to ensure trusted outputs and governable data.)

Qualifications

• Degree in data science, CS, IS, engineering, OR statistics or equivalent.
• Recent end-to-end delivery experience.
• 3 of the last 5 years in data integration and engineering, with hands-on in the last 2.
• 2 of the last 5 years using SQL and an analytical language, hands-on in the last 2.
• Experience designing or building digital data-collection and workflow solutions.
• 3 of the last 5 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 2 of the last 5 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.
• Work with programme managers, analysts and data owners to understand information needs for decisions.
• Design, build, test and maintain repeatable pipelines that ingest, transform and reconcile data from multiple sources.
• Build data models, definitions, business rules and quality controls for trustworthiness.
• Prototype digital data-collection apps to reduce spreadsheet-heavy reporting.
• Build dashboards, metrics and visualisations showing programme status and dependencies.
• Apply descriptive and diagnostic analysis, and predictive techniques where decisions require them.
• Integrate portfolio information with enterprise sources through approved mechanisms.
• Identify and fix data quality, ownership, lineage and governance issues.
• Document sources, models, transformations and operating procedures for handover.

Skills

SQL

Analytical language (Python/R)

Fluent English

Education

University degree in data science, CS, IS, engineering, OR statistics

Job description

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.