Senior Data Engineer

Our Business team.blue is an ecosystem of successful brands working together across regions to provide customers with everything they need to succeed online. 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 OverviewAs a Senior Data Engineer in Central Data Platform you will develop and maintain our central data ecosystem for the customer domain, ensuring we build robust, scalable 360 degree view on our end customers, spanning across all our 60+ brands. You will be responsible for building, scaling, and governing high-value data products that serve as the "single source of truth" for team.
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 in customer domain 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 and AI initiatives. 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. Cross-Functional Collaboration: Act as a strategic "sparring partner" for Analytics, ML, and AI teams, translating complex business requirements into high-performing technical solutions. Manage and tune data pipelines 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. 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. Core Ecosystem: Deep hands-on experience with Databricks (PySpark, Delta Lake, Unity Catalog) or very rich hands-on experience with open table formats. 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, Azure, etc) and modern orchestration tools like Airflow or dbt. DevOps & Engineering: Strong command of Docker/Kubernetes and a commitment to CI/CD best practices (with Gitlab or GitHub) 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, 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. Right to WorkAt any stage, please be prepared to provide proof of eligibility to work in thecountry you're applying for. Unfortunately, we are unable to support relocationpackages or sponsorship visas"Come as you are"Everyone is welcome here. Far above any technical competence, we value respect, openness, and trusted collaboration. Our latest impact report showcases our ongoing ESG efforts and ambitious sustainability goals. xrdztoy Check it out here."