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About the Role

As a senior member of the Data Office, you will design, build, and improve analytics data products across the full platform lifecycle. This role balances technical engineering with leadership, requiring you to mentor a small team, foster a culture of quality, and build trusted relationships with business stakeholders to translate requirements into production-grade data solutions.

Responsibilities

• Design and build ingestion pipelines using ADF and Databricks orchestration patterns.
• Build and optimize data transformations in Databricks, including fact/dimension modeling.
• Implement metadata-driven engineering practices to improve consistency, reusability, and scale.
• Partner with data product owners and reporting teams to evolve semantic models.
• Support CI/CD delivery across environments and participate in release hardening.
• Contribute to platform evolution by onboarding new sources and refining deployment templates.
• Design and maintain a business data ontology with canonical entities and relationships.
• Build and maintain trusted relationships with business stakeholders and data product owners.
• Translate ambiguous business problems into clear technical requirements.
• Facilitate requirements-gathering workshops to uncover underlying business needs.
• Proactively communicate progress, blockers, and delivery risks to stakeholders.
• Produce clear, audience-appropriate documentation and status reports.
• Represent the data engineering team in cross-functional planning and design discussions.
• Set clear expectations around engineering standards, code quality, and delivery practices.
• Run effective team rituals including sprint planning, standups, and retrospectives.
• Identify skills gaps and create growth opportunities through mentoring and pair programming.

Requirements

• Experience in platform ownership from ingestion to consumption.
• Proven ability to translate business requirements into maintainable data models.
• Strong understanding of data quality, validation, testability, and lineage.
• Demonstrated ability to work across engineering, analytics, and business functions.
• Experience balancing speed and rigor in technical execution.
• Ability to mentor and raise team capability through review and feedback.

Skills

• Python
• PySpark
• Spark SQL
• SQL (T-SQL)
• Delta Lake patterns
• Data warehouse and data mart modeling
• Databricks notebooks and workflows
• Azure Data Factory
• Metadata-driven orchestration
• Power BI / Fabric
• Azure DevOps pipelines (YAML)
• Git
• Automated data testing
• Stakeholder management
• Technical documentation
• Team coaching and mentoring

Work Type

• Full time

Experience Level

• Senior

About the Company

• Leading NextGen Tech solutions provider and part of the Telefónica Group.
• Global team of over 6,000 employees across 175 countries.
• Strategic hubs located in Spain, Brazil, the UK, and Germany.
• Specializes in Cloud, Data & AI, Enterprise Applications, Workplace Services, and Cyber Security & Networking.
• Values: Open, Trusted and Bold.

Equal Opportunity

• We welcome applicants from all backgrounds and identities regardless of age, disability, gender reassignment, marital or civil partnership status, pregnancy or maternity, race, religion or belief, sex, and sexual orientation.
• Committed to equity, accessible hiring practices, and an inclusive culture through Employee Resource Groups.