Data Platform Lead - Hybrid, Lisbon

• dynamic and international environment
• where high performance meets real purpose

Sobre o nosso cliente

AI-driven Procurement Service Partner, headquartered Switzerland and with 16 offices worldwide.

Descrição

• Design and build core parts of our data platform architecture, including ingestion, data modelling and governed data products.
• Define technical standards and patterns for data ingestion, transformation and canonical data modelling across the team.
• Lead architectural decisions on how the team's platform work fits into our wider data governance and privacy framework.
• Stay hands-on: write code, review pull requests, and directly contribute to key platform components.
• Guide the team's approach to data quality, lineage and access control, ensuring consistent, well-governed data products.
• Provide day-to-day technical leadership and coaching to the team, helping engineers grow their skills and confidence.
• Plan and prioritise the team's technical roadmap, balancing new capability with maintenance and technical debt.
• Partner with business and other tech teams to translate business needs into technical design decisions.
• Support hiring and onboarding, helping new engineers ramp up quickly on the platform's architecture.
• Champion strong engineering practices across the team, including code quality, testing and documentation.

Perfil ideal

• Hands-on expertise designing and building enterprise data platforms, ideally using Databricks or a comparable lakehouse architecture.
• Deep knowledge of data ingestion, canonical/conformed modelling, and reusable data products.
• Strong command of governance, quality, lineage, access control, security, privacy, and anonymisation practices in regulated environments.
• Ability to define architectural direction and drive adoption across engineering teams.
• Track record of mentoring engineers through technical coaching and code reviews while remaining hands-on.
• Comfortable operating as a player-coach, balancing platform delivery with team leadership.
• Knowledge of data mesh and federated data product architectures.
• Proficiency with cloud-native data ecosystems and modern engineering tooling.
• Ability to communicate technical concepts and design decisions to both technical and non-technical audiences.
• Pragmatic approach to balancing engineering excellence, execution speed, and team growth.
• Expertise in REST and GraphQL API design, schema governance, contract management, and versioning.
• Proficiency in Python and/or Scala, SQL, and Infrastructure as Code (Terraform preferred).
• Familiarity with knowledge graph technologies is good to have (including RDF, property graphs, Neo4j, and graph-based analytics)

Vantagens

Salary range:

75K to 90K €

Bonus

SA (coverflex)

SS