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 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+ integral 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. Establish and enforce best practices in data modeling, orchestration,



and observability.

• Governance & Integrity: Implement rigorous data governance frameworks, including lineage tracking, metadata management, and quality controls to ensure a reliable semantic layer for AI and ML use cases.

• Cross-Functional Collaboration: Act as a strategic "sparring partner" for Analytics, ML, and AI teams, translating complex business requirements into high-performing technical solutions.

• Platform Optimization: Manage and tune data platforms for peak performance, focusing on indexing strategies, query optimization, and schema evolution.

• Mentorship: Elevate the collective expertise of the engineering team by mentoring junior members and fostering a culture of technical excellence.

Your Strengths:

• Strategic Thinker: You don't just execute; you lead projects from ideation to actionable solution, balancing technical debt with rapid delivery.

• Effective Communicator: You possess the ability to translate complex technical concepts into clear business value for non-technical stakeholders.

• Problem Solver: You thrive in fast-paced environments, managing multiple high-priority workstreams with meticulous attention to detail.

Technical skills required:

• Core Ecosystem: Deep hands-on experience with Databricks (PySpark, Delta Lake, Unity Catalog).

• Advanced SQL & Modeling: Expert-level SQL skills (optimization, indexing) and a mastery of data modeling techniques (Dimensional, Star Schema, Snowflake).

• Cloud & Modern Data Stack: Proficiency in at least one major cloud provider (AWS, GCP, etc) and modern orchestration tools like Airflow or dbt .

• Database Diversity: Proven experience managing data across various RDBMS platforms (PostgreSQL, SQL Server, Oracle, etc.).

• DevOps & Engineering: Strong command of Docker/Kubernetes and a commitment to CI/CD best practices.

• Governance: Experience with data versioning, schema evolution, and distributed metadata management.

Education and work experience:

• Experience: 7+ years of professional experience in data engineering or data management,

📌 Data Engineer (Barcelona)
🏢 team.blue Global
📍 Barcelona