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

Wlgroup; Norfolk (VA); On-site; USD 85,000 - 120,000; Full time

Job summary

Wlgroup seeks a hands-on data engineer in Norfolk, VA to build and maintain data pipelines, models and dashboards for a multinational defence portfolio. You will work directly with programme managers and data owners to determine information needs and deliver decision-ready data products.

The role requires a university degree in a related field, 3+ years in data integration/engineering, and strong SQL and data-collection experience. Long-term engagement with visa support is provided.

Qualifications

• This role requires hands-on end-to-end delivery from identifying needs to operational solutions.
• Three of the last five years in data integration and engineering with hands-on recent work.
• Two of the last five years using SQL and an analytical language with hands-on recent work.
• Experience designing digital data-collection and workflow solutions.
• Three of the last five years building business intelligence products.
• Hands-on data modelling, data quality and governance work.
• Ability to document and hand over a solution so it survives without you.
• Experience working with operational users and programme staff.

Responsibilities

• Hands-on data integration, engineering and analysis across the portfolio.
• Design, build, test and maintain repeatable pipelines ingesting data from multiple sources.
• Build data models, business rules and quality controls for trustworthy outputs.
• Prototype digital data-collection apps to replace spreadsheet reporting.
• Build dashboards, metrics and visualisations showing programme status.
• Apply descriptive and diagnostic analysis and 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.

Skills

Data integration

Data engineering

SQL

Analytical language (Python/R)

Data modelling

Data quality & governance

BI products

Education

University degree in data science / CS / information systems / engineering (or equivalent)

Tools

SQL

Python/R

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.