Analytics Engineer

• Understand business needs and translate them into technical solutions by gathering requirements from stakeholders, understanding their KPIs and information needs, and designing data products that meet those requirements
• Data modeling: design and maintain analytical data models (such as dimensional models and data marts) that reflect business logic and support reporting/analysis
• Data transformation and pipelines: build, maintain and optimise ETL/ELT pipelines using SQL, Python, and cloud-based data platforms to extract, clean, transform and load data
• Data visualisation and reporting: build dashboards and reports in BI tools like Power BI, Tableau or an equivalent, enabling business users to explore and understand metrics and trends
• Collaborate with business and IT stakeholders to ensure data solutions match real business needs, acting as a bridge between technical and non-technical teams
• Data governance & quality: ensure data models and pipelines comply with governance, documentation, and quality standards; implement data validation, testing, lineage, and full documentation of data flows
• Focus on data products: deliver usable, stable and well-documented data products (models, tables, dashboards) that business users can rely on, going beyond just building infrastructure, You'll meet one of our team leads or a subject-matter expert. Together, we explore your technical knowledge, your strengths and the topics you feel most confident in. Sometimes we include a small, practical exercise to understand how you think and how approach data challenges.

Do you have experience in Tableau?, * You have strong SQL skills, able to write complex queries, optimise performance, and build robust data pipelines and data models

• You have solid experience in data modeling, including dimensional modeling, fact/dimension tables and star or snowflake schemas (or equivalents)
• You have working knowledge of Python, which is a plus.
• You can use BI and data visualisation tools (Power BI, Tableau) to create dashboards and reports that truly support business decisions
• You are familiar with cloud data platforms, data warehouses and data lakehouses
• You have strong business and data understanding: you can work with stakeholders, translate business needs into data requirements, understand domain logic and deliver useful data products
• You have excellent communication skills, able to explain technical data concepts to non-technical stakeholders and clearly document data models, transformations, lineage and business logic

• An exciting career opportunity in a dynamic environment, offering a competitive salary that rewards your skills, drive and potential, fully aligned with sector standards
• Continuous learning and access to cutting-edge Microsoft data & AI projects that keep you ahead of the curve
• Learning and growth through hands-on coaching and support from experienced colleagues
• Plenty of freedom to take initiative and make your mark
• A full-time 40-hour workweek with 20 legal holidays and 12 additional compensation days to keep your work-life balance in check
• A warm, vibrant and supportive culture where teamwork, fun and regular events are part of the DNA