Analytics Engineer Proactieve vacatureProactieve vacatureDe functie is momenteel niet open, maar het bedrijf blijft attent op nieuw talent. U kunt uw profiel delen om deel uit te maken van hun talentenpool en opgemerkt te worden wanneer er een kans ontstaat.AI-geverifieerdAI-geverifieerdDeze rol werd door AI geverifieerd op basis van openbare gegevens en aanwervingspatronen. Het vertegenwoordigt een waarschijnlijke kans bij dit bedrijf.

Hoog vertrouwen

ESCO ESCO Deze rol is gelabeld met ESCO, volgens de officiële Europese nomenclatuur voor beroepen en vaardigheden.

Functiebeschrijving

Analytics Engineer

Objective: Develop and maintain robust analytics infrastructure to support data-driven decision-making for clients. Ensure data pipelines are reliable, scalable, and aligned with business objectives.

Key responsibilities:

• Design, build, and optimize data pipelines and analytics workflows.
• Collaborate with data scientists, analysts, and business stakeholders to deliver actionable insights.
• Implement data quality and governance best practices.
• Automate data integration and transformation processes.

Key skills:

• Proficiency in SQL, Python, and data modeling.
• Experience with cloud data platforms and ETL tools.
• Strong problem-solving and communication skills.

Typical profile:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• Experience in analytics engineering or data engineering roles.

Over Datashift

What we do: Datashift specializes in Artificial Intelligence, Business Analytics, Data Governance, Data Science, and Data Engineering. We empower organizations to become truly data-driven by offering end-to-end data services from strategy to implementation. Our focus is on creating long-term value for clients through data-driven decision-making.

Where we are located: Our headquarters is situated at Oude Brusselsestraat 14, 2800 Mechelen, Belgium.

Short history: Founded in 2015, Datashift was inspired by its co-founders who combined deep business knowledge with data analytics and technology expertise.

Organization & culture: Datashift employs between 51 and 200 people and fosters a culture of mutual trust and collaboration. We invest in training and development, staying updated on the latest data technologies.

Recent developments: Datashift recently welcomed new graduates to its team and participated in the Data News Awards ceremony, celebrating strong client relationships.

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