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; 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; 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. As a Senior Data Engineer , you will develop and maintain our central data ecosystem, ensuring we extract maximum strategic value from our general 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+ sub-brands. This role is pivotal in transforming raw data into a sophisticated semantic layer that powers business intelligence, operational efficiency, and cutting-edge AI initiatives.

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. 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. 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. 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. you lead projects from ideation to actionable solution, balancing technical debt with rapid delivery.

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.

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

Experience: 7+ years of professional experience in data engineering or data management, preferably within a high-growth or multi-brand industry. Advanced degree (Masters or PhD) in Computer Science, STEM, or a related quantitative field. A demonstrable history of deploying stable, high-performance data solutions that drive measurable business value.

At any stage, please be prepared to provide proof of eligibility to work in the country you’re applying for. Unfortunately, we are unable to support relocation packages or sponsorship visas. "Check it out here.” The most trusted digital enabler team.blue is a leading digital enabler for companies and entrepreneurs. It serves over 3.3 million customers in Europe and has more than 3,000 experts to support them.

Its goal is to shape technology and to empower businesses with innovative digital services. #

📌 Ingegnere Dei Dati (Barcelona)
🏢 Team.Blue
📍 Barcelona