Analytics Engineer Job proactifAnnonce d'emploi proactiveLe poste n'est pas ouvert pour l'instant, mais l'entreprise reste attentive aux nouveaux talents. Vous pouvez partager votre profil pour rejoindre leur vivier et être repéré quand une opportunité s'ouvre.Vérifié par IAVérifié par IACe rôle a été vérifié par l'IA à partir de données publiques et de tendances de recrutement. Il représente une opportunité probable dans cette entreprise.

Confiance élevée

ESCO ESCO Ce rôle est marqué du label ESCO suivant la nomenclature officielle des métiers et compétences utilisée à l'échelle européenne.

Description de la fonction

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.

À propos de 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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