Analytics Engineer Proaktive StelleProaktive StellenanzeigeDie Stelle ist derzeit nicht offen, aber das Unternehmen bleibt aufmerksam für neue Talente. Sie können Ihr Profil teilen, um in deren Talentpool aufgenommen zu werden und entdeckt zu werden, wenn sich eine Gelegenheit ergibt.KI-verifiziertKI-verifiziertDiese Rolle wurde von KI auf Grundlage öffentlicher Daten und Einstellungsmuster verifiziert. Sie stellt eine wahrscheinliche Gelegenheit bei diesem Unternehmen dar.

Hohe Konfidenz

ESCO ESCO Diese Rolle ist mit ESCO gekennzeichnet, gemäß der offiziellen europäischen Nomenklatur für Berufe und Kompetenzen.

Stellenbeschreibung

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.

Über 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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