The BI Developer plays a key role in the design, delivery, and evolution of data pipelines, data products, and business-facing analytics capabilities. The role directly supports decision-making, operational monitoring, regulatory requirements, and strategic initiatives, while contributing to the organization’s data roadmap.
YOUR ROLE
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Engineer Data Products: Design, build, and evolve robust data pipelines and domain-oriented data products, from ingestion to consumption.
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Turn Data into Value: Translate complex data into meaningful insights, KPIs, dashboards, and analyses used by business and executive teams.
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Ensure Trust & Quality: Implement data quality controls, governance principles, and monitoring to guarantee reliable and compliant data usage.
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Support the Business: Act as a partner for operational teams by delivering ad-hoc analyses, monitoring business processes, and supporting strategic initiatives.
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Grow the Data Culture: Enable stakeholders through documentation, training, and guidance, helping the organization make better decisions with data.
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Continuously Improve: Contribute to the data roadmap, propose improvements, and stay up to date with data engineering and BI best practices.
YOUR PROFILE
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You Think in Data Products: You see data pipelines, datasets, and dashboards as products with users, quality standards, and long-term ownership.
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You Are Analytical & Business-Oriented: You don’t just deliver numbers—you understand the “why” behind them and focus on business impact.
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You Are Technically Solid: You are comfortable working with SQL and Python (or PySpark) and understand data modeling and performance considerations.
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You Value Quality & Governance: You care about clean code, documentation, data quality, and reproducibility.
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You Are a Bridge Builder: You can communicate clearly with both technical teams and non-technical stakeholders.
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English Proficiency: You can communicate effectively in English (B2+)
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Core: SQL, Python, PySpark
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Data & Modeling: Relational databases, data modeling, schema evolution
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BI & Analytics: Power BI (preferred), reporting & dashboarding tools
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Pipelines & Automation: Cloud-based data pipelines, reusable data components
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Governance & Quality: Data quality controls, documentation, access management
