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Senior Data Platform Engineer

team.blue•Germany, Greece, Italy, Portugal, Spain, United Kingdom•🌍 Remote
Full-time3-7
👁️ 0 views•📝 0 applications•Posted 10/22/2026•Expires 12/21/2026
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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 3000+ experts serving its 3. 5 million customers across Europe and beyond. team.

blue 's brands are a mix of traditional hosting businesses, offering services from domain names, email, shared hosting, e-commerce and server hosting solutions and specialist SaaS providers offering adjacent products such as compliance, marketing tools and team collaboration products.

This broad product offering makes it a one-stop partner for online businesses and entrepreneurs across Europe. Position Overview As a Senior Data Platform Engineer , you will develop and maintain our central data ecosystem, ensuring we extract maximum strategic value from our global data assets.

You will be responsible for building, scaling, and governing high-value data products that serve as the "single source of truth" for team. blue and its 60+ subbrands.

This role is pivotal in transforming raw data into a sophisticated semantic layer that powers business intelligence, operational efficiency, and cutting-edge AI initiatives.

Key Responsibilities

Data Platform Ownership : Own, manage, continuously optimize our Data Infrastructure including Databricks, Airflow, dbt, Gitlab & AWS. Manage and tune data platforms for peak performance and introduce new capabilities to keep the platform aligned with industry advancements

• Data Product Innovation: Design and deliver high-quality, scalable data products that provide a unified source of truth across a complex ecosystem of 60+ global sub-brands.

• Pipeline Engineering: Build and optimize robust ETL/ELT pipelines to ingest and transform massive volumes of structured and unstructured data, ensuring high availability and low latency for downstream consumers.

• Architectural Leadership: Lead the design of secure, cost-efficient data architectures.

Required Skills

DatabricksAirflowdbtGitLabAWSETLELTData EngineeringData Architecture

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