BI / Analytics Engineer

At Sambla Group, data is the engine that powers our decision-making, product innovation, and business strategy. We are strengthening our Data Platform team and are seeking a BI / Analytics Engineer who can design, architect, and maintain the analytical backbone that supports the entire organization. You will join a team of three Data Engineers and two Analytics Engineers, reporting directly to the Engineering Manager. This is a highly technical role focused on building scalable analytical systems - not just dashboards. You will architect end-to-end analytical solutions, engineer robust transformation layers, design governed semantic models, and ensure that business users have access to high-quality, high-trust data assets that enable genuine self-service analytics. Key Responsibilities Analytics Engineering & Data Infrastructure - Design, build, and maintain modular, scalable ELT models using SQL, dbt, DAX and Git-based workflows. - Engineer transformation logic with testing, validation, and quality monitoring baked in from the start. - Optimize data pipelines, data warehouse structures, and SQL logic for performance, maintainability, and long-term stability. - Ensure strong data lineage and cataloging of assets across the analytical stack. Data Modeling & Architecture - Architect and own core analytical data models (star/snowflake schemas, dimensional models, semantic layers) that become the foundation for company-wide analytics. - Define and enforce modeling standards - including documentation, naming conventions, version control, testing, and governance. - Partner with Data Engineering to align ingestion structures with downstream analytical requirements and domain ownership. BI Engineering & Analytical Solutions - Build robust BI datasets, governed semantic models, and reusable analytical marts that power dashboards, exploration, forecasting, and operational reporting. - Develop analytical solutions in Power BI and other BI tools with a focus on long-lived, reusable, well-modeled datasets - not throwaway visualizations. - Implement BI governance: shared metrics layers, access control, performance tuning, metadata management, and dataset certification. - Ensure BI solutions are engineered with maintainability, scalability, and user adoption in mind. Self-Service Analytics & Enablement - Design analytical assets that allow end-users to confidently explore data, build their own reports, and access trusted metrics without engineering support. - Create discoverable, well-structured data layers with clear documentation and consistent semantics. - Guide analysts and business stakeholders on best practices for querying, modeling, and analytical design. Requirements - Bachelor’s or master’s degree, preferably in Computer Science, Software Engineering, Data, or a related technical field. - Several years of experience in analytics engineering, BI engineering, or analytical architecture roles. - Expert-level SQL (optimization, advanced functions, analytical modeling patterns). - Deep experience with Power BI or similar tools, with the ability to design data models, semantic layers, measures, and scalable analytical components. - Proven experience designing, maintaining, and governing analytical solutions intended for broad end-user consumption. - Strong understanding of data warehousing principles and analytical model architecture. Nice-to-Have / Strong Pluses - Experience with dbt or dbt-like frameworks, including modeling layers, testing, and documentation. - Familiarity with Git-based workflows, pull requests, code review, and CI/CD for analytics assets. - Exposure to cloud data warehouses (BigQuery, Snowflake, Databricks) and other BI/self-service tools (Tableau, Qlik, Looker, ThoughtSpot). - Experience working with conversational analytics tools or AI-driven insight platforms that enable users to interact with data through natural language. Success in this role requires not only technical excellence, but also a collaborative spirit, a curious approach to problem-solving, and a drive to support and uplift your colleagues. You’ll thrive in this role if… - You think in architecture, standards, and systems, not just individual reports or datasets. - You emphasize data quality, traceability, and semantic consistency across the entire stack. - You’re comfortable owning analytical domains end-to-end, from warehouse structures to BI data models to user-facing semantic layers. - You enjoy building scalable, governed analytical foundations that empower end-users and raise the analytics maturity of the entire organization. - You enjoy interacting with users to understand their needs and pain points, and translating that into data products. What we offer: - Business in mind & people at heart – we deliver results together and celebrate our achievements. - A varied and challenging role in a multinational and highly innovative company, where we value the development of our employees - We are strong believers in creating a fun workplace where people enjoy coming to work. - A friendly culture with openness and respect for one another, with the possibility to influence and make a difference on society and people’s everyday lives.