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Huxley Amsterdam, North Holland, Netherlands
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Data Engineer
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Huxley
Huxley Amsterdam, North Holland, Netherlands
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Data Engineer
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Consultant | Data | Digital & Technology for Aviation & Tech-Platforms | Contracts
For our client big in retail, we are looking for a Data Engineer.
Background
As a data foundation team within the customer domain, we need additional data engineers to help product teams in transforming existing data into proper data products, to enable the data mesh. The work will include both hands-on work and process setup/improvement regarding: ingestion and transformation pipelines, data quality checks, modeling, metadata management, harmonisation, access management and integration with the central platform. This assignment will also involve stakeholder management with product and software engineering, documentation to ensure discoverability and review of our current setup regarding tech stack, best practices, and security. We need smart minds to not only follow instructions, but also think along and bring in their expertise while we build the foundation for a stable data mesh.
The scope of the consultant services is to assist in
Build and improve the data foundation in the customer domain, and organise our team's work together with other data engineers and data stewards based in both Amsterdam and Sweden. For this role, specific technical skills are crucial, but interpersonal skills are also very important.
Requirements:
Desired knowledge, experience, competence, skills etc
Data products and data mesh knowledge: experience with practical implementation from design to data quality to data contracts and access management
Data ingestion and transformation knowledge: advanced SQL skills are crucial, Python skills are important; experience with Apache Beam (Dataflow) is a big plus, PySpark is an advantage
Communication and interpersonal skills to help advocate for the data mesh, but also to guide colleagues technically
Data governance experience: knowledge regarding classification, metadata standards, harmonisation, DQ management, masking
GCP in general: advanced GBQ knowledge, and especially tools used for data pipelines like Cloud Run (jobs) or Workflows. Experience with GBQ Sharing is a plus; as mentioned Dataflow is a big plus.
CI/CD and DataOps: GitHub Actions, Observability/Monitoring, IaC with Terraform
dbt: for data modelling and transformation pipelines
Stakeholder management (software engineers, POs)
What 3 things from above are most important?
Data products and data mesh knowledge
Data ingestion and transformation knowledge
Communication and interpersonal skills
Let op: vacaturefraude
Helaas komt vacaturefraude steeds vaker voor. We waarschuwen je voor mogelijke misleiding:
* Wij zullen nooit via WhatsApp of in een videogesprek vragen om jouw persoonlijke gegevens (zoals een kopie van je ID, bankgegevens of BSN).
* Twijfel je over de echtheid van een vacature of contactpersoon? Neem dan altijd rechtstreeks contact met ons op via de officiële contactgegevens op onze website.
Important: job fraud
Unfortunately, job fraud is becoming more common. Beware of such scams:
* We will never ask for personal information (such as a copy of your ID, bank details, or social security number) via WhatsApp or during a video call.
* If you're unsure whether a vacancy or contact person is legitimate, please reach out to us directly using the official contact details on our website.
Seniority level
Seniority level Entry level
Employment type
Employment type Full-time
Job function
Industries Retail Furniture and Home Furnishings
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