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+ 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. Key Responsibilities 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. 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 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, preferably within a high‑growth or multi‑brand industry. Education: advanced degree (Masters or PhD) in Computer Science, STEM, or a related quantitative field. Track Record: a demonstrable history of deploying stable, high‑performance data solutions that drive measurable business value. Right to Work 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. EEO Statement 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. #J-18808-Ljbffr
A leading digital enabler in Dublin seeks an experienced Data Scientist to influence decision-making through actionable insights from data. This role demands collaboration with cross-functional teams to design data-driven solutions. Candidates must have a Master's or Ph.D. in relevant fields and over 5 years of experience. Essential skills include machine learning, predictive modeling, and proficiency in data analysis and visualization. Join a culture that values diversity, respect, and continuous improvement. #J-18808-Ljbffr
Position Overview We are looking for an experienced Data Scientist to join our Data & Analytics team. As a Data Scientist you will not only bring technical expertise but also a deep understanding of business operations and strategy. Your work will directly influence decision-making and help shape the future of our organization through actionable insights drawn from complex datasets. As a Data Scientist, you will collaborate with cross-functional teams, including business leaders, product managers, and engineers, to design and implement data-driven solutions that align with the company’s goals. You will be expected to translate complex data into business value, leveraging machine learning, predictive modeling, and statistical analysis. Key Responsibilities Business Insight Development: Understand the key business challenges and opportunities, and use data to develop solutions that align with strategic objectives. Data Strategy: Collaborate with leadership to define the data science roadmap and priorities based on business needs and opportunities. Predictive Modeling & Machine Learning: Build, deploy, and maintain machine learning models to forecast trends, optimize processes, and drive business outcomes. Data Analysis & Visualization: Analyze large, complex datasets to extract actionable insights, and present findings to both technical and non-technical stakeholders. Data science pipeline: Advise, build and continuously improve the data science pipeline which best responds to team.blue analytics needs. Cross-functional Collaboration: Work closely with business leaders, product teams, and engineers to ensure that data solutions meet business requirements. Continuous Improvement: Stay up to date with the latest trends in data science, AI, and machine learning to continuously improve the team’s capabilities. Requirements Master’s or Ph.D. in Data Science, Statistics, Mathematics, Computer Science, or a related field. 5+ years of experience in data science, with a proven track record of solving complex business problems using data. Strong understanding of business operations and the ability to align data science projects with business objectives. Communication Skills: Ability to translate technical insights into business recommendations and communicate with stakeholders at all levels. Problem-solving: Strong analytical thinking with the ability to handle complex and unstructured data. Technical Skills: Proficiency in programming languages such as Python, R, or Scala. Experience with machine learning frameworks (e.g., TensorFlow, Scikit-learn). Experience with SQL and working with large data sets. Familiarity with cloud platforms (e.g., AWS, Azure) and big data tools (e.g., Hadoop, Spark). 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. ESG 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. 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. Click here to read more about team.blue #J-18808-Ljbffr
