Data Engineer — Portfolio Integration and Decision Support for NATO with security clearance
WLG İzmir, Aegean Region, Turkey
Financial Services · 2-10 employees
About the role
You will design, build, and maintain data pipelines and models to integrate information across a large infrastructure portfolio. Additionally, you will collaborate with stakeholders to create dashboards and analytical solutions that support critical decision-making processes.
What they look for
Requirements
Candidates must hold a university degree in a relevant field and possess at least three years of experience in data integration and engineering. Proficiency in SQL, analytical languages, and a proven track record of delivering end-to-end data solutions are required.
Benefits
Full 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.
