Data Engineer Omnichannel

Data Engineer (Customer Data Products)LocationNetherlands, Amsterdam (Onsite work expected)BackgroundWe need data engineering support in building customer domain data products for a global retail organization, including building pipelines, governance, and data quality management, as well as stakeholder management.This role specifically focuses on data engineering work related to customer classification and unified customer profiles. The role will include driving standards and adoption of data engineering and governance standards together with and in support of other data engineers, data stewards, product owners, and software engineers.Scope of the AssignmentThis role is focused on data engineering but will also require analytics and governance work. We are looking for someone who combines strong technical expertise with stakeholder management skills and the ability to navigate complex conversations.ResponsibilitiesBuilding, improving, and maintaining ingestion and transformation pipelines in SQL and Python (BigQuery, dbt, Databricks), including ad hoc analyticsManaging, reviewing, and improving processes from coding to infrastructureCreating and implementing data engineering standards from ingestion to transformation, data quality, and data contractsReviewing data models, data contracts, and data mappings for alignment with governance standardsPresenting data products, data quality and governance standards, and insights to stakeholdersCollaborating closely with Product, Software Engineering, and Data teams to improve data engineering practices, promote data product principles, and resolve data-related challengesRequirementsTechnical & Analytical SkillsStrong data engineering fundamentals including:

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dbtPythonProduction-grade cloud development (GCP preferred)CI/CDInfrastructure as Code (IaC)ContainerizationHands-on experience with:
BigQueryDatabricks / PySparkExperience with both is strongly preferredAbility to improve coding, reviewing, and testing practices through smart use of AIBasic data visualization skills (Data Studio preferred, Power BI is a plus)Experience with data quality frameworks, testing, and monitoringStrong understanding of:
Data modelsDatabasesData warehousingData flows across systemsExperience with customer data (profiles, purchases, interactions) is a strong plusExperience with customer classifications and unified customer profiles is a strong plusKnowledge of data governance, metadata management, and data cataloguing is a plusCommunication & Interpersonal SkillsProactive mindset and ability to thrive in uncertaintyStrong stakeholder management and collaboration skillsAbility to identify and resolve data issues through cross-functional collaborationAbility to translate business requirements into data products, governance standards, and quality rulesTop 3 RequirementsStrong data engineering fundamentals (dbt, Python, GCP, CI/CD, IaC, Containerization)Hands-on experience with BigQuery and/or Databricks/PySparkProactive attitude and ability to work effectively in ambiguous environmentsLet op: vacaturefraudeHelaas 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 fraudUnfortunately, 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. xgiwjmb * 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.