Senior Data Engineer (with GCP/BQ)

We are seeking a Senior Data Engineer/Consultant (with GCP / BigQuery) to design and maintain robust data architecture and governance practices within a large organisation. The person in this role will collaborate with business analysts, data stewards and domain experts to define modelling standards, documentation and controls that ensure high-quality, secure, scalable and cost-efficient data solutions on Google Cloud Platform.

Responsibilities

• Develop and maintain data modelling standards for data warehouse layers, including integrated and analytical layers.
• Design data models and reference architectures optimized for BigQuery, applying partitioning, clustering and query optimisation techniques.
• Lead integration efforts for ingesting and consolidating data from multiple source systems, ensuring consistency and lineage.
• Define and document data governance policies, data dictionaries, metadata standards and lineage documentation in collaboration with data stewards and owners.
• Collaborate with business stakeholders to align business definitions and semantic models with technical implementations.
• Assess and improve data quality controls, implement monitoring and remediation guidance for data issues.
• Work alongside data engineers and implementation teams to deliver efficient, scalable and secure data solutions on GCP.
• Advise on GCP security controls, IAM, encryption, audit trails and access control for data environments.
• Identify cost drivers and recommend optimisation measures for storage, query execution and processing on BigQuery and related services.
• Contribute to governance operating models and role definitions for data owners, data stewards and other governance roles.

Qualifications

• Proven experience in data modelling for data warehouses and analytical layers.
• Experience integrating data from multiple source systems and defining consistent semantic models.
• Practical knowledge of BigQuery modelling best practices and Google Cloud data services.
• Nice to have: experience in data governance in the financial sector.
• Familiarity with data governance concepts like data ownership, stewardship, data dictionaries, metadata and lineage.
• Understanding of data quality issues and approaches to measurement and remediation.
• Experience designing performant, scalable and secure data solutions.
• Nice to have: knowledge of security topics relevant to GCP: IAM, encryption, auditing and access control.
• Fluent English.

Benefits

• Professional development opportunities and collaboration with cross-functional teams.
• Engagement in designing enterprise-level data governance and architecture on a modern cloud platform.
• Remote working.
• Unique TEAL culture, relationship- and respect-driven community, non-corporate atmosphere.
• Agile approach and no bureaucracy.
• Outstanding integration trips to various places in Europe.
• Activities to support your well-being and health.
• Luxmed Gold Extended medical care and Multisport Plus benefit.