Data Engineer (Senior)

team.blue Global

4d

About The Position

As 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.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.

Requirements

• Deep hands-on experience with Databricks (PySpark, Delta Lake, Unity Catalog) or very rich hands-on experience with open table formats.
• Expert-level SQL skills (optimization, indexing) and a mastery of data modeling techniques (Dimensional, Star Schema, Snowflake).
• Proficiency in at least one major cloud provider (AWS, Azure, etc) and modern orchestration tools like Airflow or dbt.
• 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.
• 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.

Nice To Haves

• 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.

Responsibilities

• 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.
• 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.
• 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.
• 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.
• Elevate the collective expertise of the engineering team by mentoring junior members and fostering a culture of technical excellence.

Benefits

• 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.
• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior