Data Engineer — Portfolio Integration and Decision Supportfor NATO with security clearance
Il y a 22 heures
Brussels, Brussels, Belgique
WLG
Temps plein
Gratuit avec email ou Google
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Gratuit avec email ou Google
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.