Data Engineer (Gcp Landscape)

Sdg Group; Poli; On-site; EUR 70,000 - 120,000; Full time

Job summary

team.Blue is seeking a Senior Data Engineer to build and govern a central data ecosystem in Italy, delivering high-value data products for 60+ sub-brands. You will own the data platform, drive architectural decisions, and partner with analytics, ML, and AI teams to translate complex needs into scalable technical solutions.

You will lead ETL/ELT pipelines, ensure data quality and lineage, and mentor junior engineers while advancing CI/CD practices in a cloud-first environment.

Qualifications

• 7+ years of professional experience in data engineering or data management.
• Masters or PhD in Computer Science, STEM, or related quantitative field.
• Track record deploying stable, high-performance data solutions that drive measurable business value.

Responsibilities

• Data Platform Ownership: Own, manage, optimize our Data Infrastructure including Databricks, Airflow, dbt, Gitlab & AWS.
• Data Product Innovation: Design and deliver scalable data products as a unified source of truth across 60+ brands.
• Pipeline Engineering: Build and optimize ETL/ELT pipelines with high availability and low latency.
• Architectural Leadership: Lead secure, cost-efficient data architectures with governance in mind.
• Governance & Integrity: Implement data governance, lineage, metadata management, data quality.
• Cross-Functional Collaboration: Partner with Analytics, ML, and AI teams to translate requirements.
• Platform Optimization: Tune indexing, query performance, and schema evolution.
• Mentorship: Mentor engineers and foster technical excellence.

Skills

Databricks

SQL

Cloud platforms

Airflow

dbt

Docker

Kubernetes

Gitlab

Delta Lake

Unity Catalog

Data Modeling

CI/CD

Data Governance

Metadata

Observability

Stakeholder Communication

Education

Masters or PhD in Computer Science or STEM

Tools

Databricks

Airflow

dbt

Gitlab

AWS

GCP

Job description

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+ 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.

Key Responsibilities

• Data 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 advancements


• 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 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


• 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

Diversity & Inclusion

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.

Data Engineer (Gcp Landscape) Bagno A Ripoli, IT