The Team You will join the Data & Analytics team, offering a unique opportunity to become part of the central data unit within one of Europe's most ambitious and rapidly growing hosting companies, serving over 2.5 million customers. As a leader in our industry, we understand the crucial role Data Engineering plays in harnessing customer data to inform and drive our commercial strategy.
Key responsibilities Design, develop, and maintain scalable data pipelines to ingest, process, and transform large volumes of structured and unstructured data from various sources.Implement efficient ETL (Extract, Transform, Load) processes to ensure timely and accurate data delivery to downstream systems and applications.Design and implement data models and schemas to support analytical and operational requirements, ensuring data integrity, consistency, and efficiency.Manage and optimize database systems for performance, security, and scalability, including schema design, indexing, and query optimization.Integrate data from various internal and external sources, including APIs, databases, and third-party systems, to enrich and enhance our data assets.Understand or quickly learn business concepts in the domains of marketing, finance, PE, M&A and more.Technical skills required Advanced skills in SQL (TSQL, PgSQL, PLSQL) shell scripting (bash, PowerShell) and pythonGood knowledge of at least one database engine between: Microsoft SQL Server, PostgreSQL, Oracle, MySQLExperience in ETL/ELT development, frameworks and components (SSIS, Power Query, Pandas, Airflow, cloud services)Good knowledge of data warehouse modelling techniques (dimensional model, star schema, snowflake design)Proficiency in analytical frameworks (Excel, R/Python).Knowledge of Microsoft Master data and Analysis servicesFlexibility to learn and adapt; strong problem-solving skills and attention to detail.Excellent communication and presentation skills, with the ability to effectively convey technical concepts to non-technical stakeholders.Ability to work independently and collaboratively in a fast-paced, team-oriented environment.Education and work experience At least 3 years of relevant experience, working in business intelligence, ideally in a related industryAdvanced degree in Computer science, STEM subjects (Mathematics, Physics, Statistics, Engineering, etc), or relevant work experienceDemonstrable track record in developing data intelligence solutions that are stable and high performing; provide business value; and use resources efficientlyAbout the job As a data engineer, you will develop and maintain the central data warehouse and help us take the most value out of our data and meet our increasing data needs. Your work assignments will centre around back-end development, focusing on building optimized data structures with best-in-class load performance. You will help us integrate newly acquired businesses into the central data warehouse, besides improving and expanding already existing structures to enable an even more data-driven approach. To this extent, your role will be crucial in supporting the Data & Analytics team in increasing the data available centrally and its fast, easy access for the end users. You will play a key role in transforming data into actionable insights that inform business strategies, improve customer processes, and drive overall performance. The ideal candidate will possess a strong analytical mindset, exceptional problem-solving skills, and a passion for uncovering trends and patterns within complex datasets. The central Data & Analytics team is one of the pillars of team.blue strategy, and the priorities and collaboration in the team are aligned daily with full involvement from team members and the management.
Right to work At any stage please be prepared to provide proof of eligibility to work in the European country you are applying for.
Unfortunately, we are unable to support Sponsorship Visas.
"Come as you are" Everyone is welcome here. Diversity & Inclusion are at our core. Far above any technical competence, we value respect, openness, and trusted collaboration. We do not tolerate intolerance.
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