Senior Data Engineer
Pubblicato il 21-09-2026 - Team.Blue in Firenze
ph3Our Business /h3 /brpteam.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 ****+ experts serving its 3.5 million customers across Europe and beyond.
/p /brpteam.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.
/p /brh3Position Overview /h3 /brpAs 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+ 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.
/p /brh3Key Responsibilities /h3 /brul /brliData 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.
/li /brliPipeline 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.
/li /brliArchitectural Leadership: Lead the design of secure, cost-efficient data architectures.
Establish and enforce best practices in data modeling, orchestration, and observability.
/li /brliGovernance 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.
/li /brliCross-Functional Collaboration: Act as a strategic "sparring partner" for Analytics, ML, and AI teams, translating complex business requirements into high-performing technical solutions.
/li /brliPlatform Optimization: Manage and tune data platforms for peak performance, focusing on indexing strategies, query optimization, and schema evolution.
/li /brliMentorship: Elevate the collective expertise of the engineering team by mentoring junior members and fostering a culture of technical excellence.
/li /br /ul /brh3Your Strengths /h3 /brul /brliStrategic Thinker: You don't just execute; you lead projects from ideation to actionable solution, balancing technical debt with rapid delivery.
/li /brliEffective Communicator: You possess the ability to translate complex technical concepts into clear business value for non-technical stakeholders.
/li /brliProblem Solver: You thrive in fast-paced environments, managing multiple high-priority workstreams with meticulous attention to detail.
/li /br /ul /brh3Technical skills required /h3 /brul /brliCore Ecosystem: Deep hands?on experience with Databricks (PySpark, Delta Lake, Unity Catalog).
/li /brliAdvanced SQL Modeling: Expert-level SQL skills (optimization, indexing) and a mastery of data modeling techniques (Dimensional, Star Schema, Snowflake).
/li /brliCloud Modern Data Stack: Proficiency in at least one major cloud provider (AWS, GCP, etc)
and modern orchestration tools like Airflow or dbt.
/li /brliDatabase Diversity: Proven experience managing data across various RDBMS platforms (PostgreSQL, SQL Server, Oracle, etc).
/li /brliDevOps Engineering: Strong command of Docker/Kubernetes and a commitment to CI/CD best practices.
/li /brliGovernance: Experience with data versioning, schema evolution, and distributed metadata management.
/li /br /ul /brh3Education and work experience /h3 /brul /brliExperience: 7+ years of professional experience in data engineering or data management, preferably within a high-growth or multi-brand industry.
/li /brliEducation: Advanced degree (Masters or PhD) in Computer Science, STEM, or a related quantitative field.
/li /brliTrack Record: A demonstrable history of deploying stable, high-performance data solutions that drive measurable business value.
/li /br /ul /brh3Right to Work /h3 /brpAt 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.
"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.
/p /brh3ESG /h3 /brp"At team.blue, our commitment to caring for the environment and each other is at the heart of everything we do. Our latest impact report showcases our ongoing ESG efforts and ambitious sustainability goals. Interested in learning more about our dedication to making a positive impact? Check it out here." /p /brpteam.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.
/p /p #J-*****-Ljbffr