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Senior Analytics Engineer
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Job Description
Our Business team. blue is an ecosystem of successful brands working together across regions to provide customers with everything they need to succeed online. 60+ successful brands make up the group, with a team of more than 3,000 experts serving 3. 5 million customers across Europe and beyond. team.
blue ’s brands span traditional hosting businesses — offering domain names, email, shared hosting, e-commerce and server solutions — as well as specialist SaaS providers offering compliance, marketing tools and team collaboration products. This broad portfolio makes team.
blue a one-stop partner for online businesses and entrepreneurs across Europe. Position Overview We are looking for an experienced and autonomous Analytics Engineer to join our AI & Data function.
This role sits at the critical intersection between our Data Management team (responsible for ingesting raw data into our Databricks-based data platform) and our Analytics team (responsible for insights and reporting).
You will take raw data, at various stages of conforming, and transform it into trusted, analytics-ready datasets — building KPIs, semantic models, and data products that feed our presentation and reporting layers.
Working across a wide variety of data domains (marketing, product usage, customer care, revenue, and more), you will need to be intellectually curious, self-directed, and proactive: comfortable exploring unfamiliar data landscapes with limited guidance, engaging business partners to understand what the data really means, and making sound judgement calls independently.
We need someone we can trust to pick up a new data domain, figure it out, and deliver at pace. Reporting to the Director of Analytics, you will work closely with data engineers, analytics engineers, and business stakeholders across the group.
Where you sit in the team The Data function is structured around three layers: Data Management: Ingests raw data from all sources into the Databricks platform. Owns the bronze/raw layer
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