Data Engineer For Customer Data Platforms

????????team.blue is a digital enabler for companies and entrepreneurs, providing innovative digital services through an ecosystem of hosting, SaaS, e-commerce, compliance, marketing, and collaboration brands across Europe.??????Design and deliver scalable customer-domain data products that provide a unified source of truth across 60+ global sub-brandsBuild and optimize ETL/ELT pipelines for structured and unstructured data, ensuring high availability and low latencyLead the design of secure and cost-efficient data architecturesEstablish and enforce best practices in data modeling, orchestration, and observabilityImplement data governance frameworks covering lineage tracking, metadata management, and quality controlsTranslate complex business requirements into high-performing technical solutions for Analytics, ML, and AI teamsManage and tune data pipelines through indexing strategies, query optimization, and schema evolutionMentor junior engineering team members and foster technical excellenceLead projects from ideation to actionable solutions while balancing technical debt and rapid deliveryTranslate complex technical concepts into clear business value for non-technical stakeholdersManage multiple high-priority workstreams with attention to detail??????????7+ Years of professional experience in data engineering or data managementAdvanced degree (Masters or PhD) in Computer Science, STEM, or a related quantitative fieldDeep hands-on experience with Databricks (PySpark, Delta Lake, Unity Catalog) or very rich hands-on experience with open table formatsExpert-level SQL skills, including optimization and indexingMastery of dimensional, star schema, and snowflake data modeling techniquesProficiency with at least one major cloud provider, such as AWS or AzureExperience with Airflow or dbtStrong command of Docker and KubernetesCommitment to CI/CD best practices with Gitlab or GitHubExperience with data versioning, schema evolution, and distributed metadata managementDemonstrable history of deploying stable, high-performance data solutions that drive measurable business valueAbility to communicate complex technical concepts clearly to non-technical stakeholders???????Employment in Barcelona, Catalonia, Spain; Relocation packages and visa sponsorship are not available; Candidates must provide proof of eligibility to work in the country of application.#J-*****-Ljbffr

7+ Years of professional experience in data engineering or data management Advanced degree (Masters or PhD) in Computer Science, STEM, or a related quantitative field 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, including optimization and indexing Mastery of dimensional, star schema, and snowflake data modeling techniques Proficiency with at least one major cloud provider, such as AWS or Azure Experience with Airflow or dbt Strong command of Docker and Kubernetes Commitment to CI/CD best practices with Gitlab or GitHub Experience with data versioning, schema evolution, and distributed metadata management Demonstrable history of deploying stable, high-performance data solutions that drive measurable business value Ability to communicate complex technical concepts clearly to non-technical stakeholders