Position OverviewAs 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.Competenze, Esperienza, Qualifiche: se possiede i requisiti giusti per questa possibilità, si candidi oggi stesso.Key ResponsibilitiesData 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 advancementsData 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-brandsPipeline 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 consumersArchitectural Leadership: Lead the design of secure, cost-efficient data architectures. Establish and enforce best practices in data modeling, orchestration, and observabilityGovernance & 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 casesCross-Functional Collaboration: Act as a strategic "sparring partner" for Analytics, ML, and AI teams, translating complex business requirements into high-performing technical solutionsPlatform Optimization: Manage and tune data platforms for peak performance, focusing on indexing strategies, query optimization, and schema evolutionMentorship: Elevate the collective expertise of the engineering team by mentoring junior members and fostering a culture of technical excellenceYour StrengthsStrategic Thinker: You don't just execute; you lead projects from ideation to actionable solution, balancing technical debt with rapid deliveryEffective Communicator: You possess the ability to translate complex technical concepts into clear business value for non-technical stakeholdersProblem Solver: You thrive in fast-paced environments, managing multiple high-priority workstreams with meticulous attention to detailTechnical skills requiredCore 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 dbtDatabase 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 practicesGovernance: Experience with data versioning, schema evolution, and distributed metadata managementEducation and work experienceExperience: 7+ years of professional experience in data engineering or data management, preferably within a high-growth or multi-brand industryEducation: Advanced degree (Masters or PhD) in Computer Science, STEM, or a related quantitative fieldTrack Record: A demonstrable history of deploying stable, high-performance data solutions that drive measurable business valueRight to WorkAt 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 visasDiversity & InclusionCome 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.ESGAt 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? xysqume Check it out here.Data Engineer (Gcp Landscape) Bagno A Ripoli, IT#J-18808-Ljbffr

📌 Data Engineer (Gcp Landscape) (Poli)
🏢 Sdg Group
📍 Poli