[Hiring] Analytics Engineer @Astrafy

Role Description

You will work on different projects to help Astrafy customers get the most out of their data on the Microsoft stack. You will work on the business and technical sides of the customer use case.

• On the business side:
  • Collaborate with stakeholders (Finance, Operations, Quality, HR…) to understand the business needs.
  • Challenge and refine the requirements to ensure alignment with business objectives.
  • Perform a thorough analysis of the client’s data sources (ERP, planning tools, files, APIs) to assess the available data.
  • Conduct workshops with stakeholders to validate KPIs.
  • Define visualizations and the overall dashboard structure in Power BI.
  • Help business users grow into a governed self-service model: certified datasets, clear roles, and best practices.
• On the technical side:
  • Build or refine the data platform on Microsoft Fabric following a medallion architecture (Bronze, Silver, Gold) with Lakehouses and Warehouses.
  • Develop ingestion with Data Pipelines and Dataflows Gen2, and transformations with notebooks (PySpark, Spark SQL).
  • Design robust semantic models (star schema, DAX, row-level security) to support Power BI reporting and exploration.
  • Industrialize delivery: DEV/TEST/PROD environments, Fabric deployment pipelines, Git integration with Azure DevOps.
  • Monitor and optimize Fabric capacity, refresh schedules, and performance.
  • Contribute to data governance (Microsoft Purview, documentation, data quality).
  • Focus on usability and clear data presentation.
  • Leverage AI-driven solutions (Copilot in Fabric and Power BI, Azure AI) to enhance user experience.

In addition to these core responsibilities, we strongly value knowledge-sharing and community engagement. At Astrafy, we are active contributors on platforms like Medium, where we regularly publish articles to share our expertise, insights, and innovations, helping to grow both our community and industry presence.

As part of the role, the candidate will also be encouraged to write articles, offering valuable insights and thought leadership to enhance Astrafy’s impact further and foster greater collaboration within our field.

Qualifications

• Experience with Power BI is required (data modeling, DAX, Power Query, workspace and app management).
• Hands-on experience with Microsoft Fabric is required (Lakehouse, Warehouse, Data Pipelines, Dataflows, notebooks, OneLake).
• Advanced knowledge of SQL is required.
• Good knowledge of Python / PySpark.
• Azure knowledge (Azure DevOps, Entra ID, Data Factory, on-premises data gateway…) is required.
• Good understanding of end-to-end pipeline design and implementation (ETL/ELT).
• Experience with Git and CI/CD practices is required.
• Familiarity with data governance tools (Microsoft Purview) is a plus.
• Experience with Grafana, time-series or industrial (OT) data is a plus.
• Strong data visualization skills to convey information and results clearly.
• Attention to detail and quality with excellent problem-solving.
• You have an analytics and solution-oriented mindset.
• You work well in a team as well as independently.
• Excellent communication and collaboration skills (both with your colleagues as well as with external stakeholders).
• You speak Spanish and English fluently. French is also appreciated.

Benefits

• An attractive salary package, with no blurry or hidden clauses. Everything we offer is open-source via our Gitbook.
• An exciting job where technology innovation is not a buzzword but a reality.
• Be part of a dynamic team that shares strong values.
• Continuous training & development of soft and hard skills.
• Flexible working hours and remote policies.
• An excellent team of colleagues & regular team-building activities.
• And much more. We have compiled a detailed handbook covering all you need to know about our company.

Company Description

At Astrafy, we are on a mission to empower every individual with a truthful vision of reality. By acting as a seamless extension of our clients' Data & AI departments, we engineer the robust foundations required to strip away bias and replace guesswork with certainty.

We prioritize true craftsmanship over generic consulting, bringing strict software engineering rigor to the rapidly evolving data and Generative AI landscape.

Ultimately, we don't just build technology — we democratize insights, enabling organizations to make confident, fact-driven decisions that unlock their highest potential.