> Markdown version of [/jobs/ext/2286199-senior-data-engineer-gcp-bigquery-data-products](https://www.wearedevelopers.com/jobs/ext/2286199-senior-data-engineer-gcp-bigquery-data-products). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Engineer - GCP/BigQuery/Data Products - **Company:** Atrium Workforce Solutions Ltd - **Location:** London, UK (Remote available) - **Experience:** Expert - **Salary:** £130,000.0 - £156,000.0 - **Contract:** Temporary contract - **Skills:** Airflow, BigQuery, Cloud Engineering, Cloud Storage, Data Governance, Data Infrastructure, Data Transformation, Data Flow Control, Key Management, Cloudera, SQL Databases, Tokenization, Google Cloud, Collibra, Microservices, Control M - **Published:** August 29, 2026 - **Apply:** https://www.careerboard.com/pt/en/find-jobs-in-United-Kingdom/-20B6AB4980A8B4BB6A/ ## About the Role * Must have 5+ years' experience working as a Data Engineer in enterprise data environments. * Strong communication skills and ability to collaborate across engineering and architecture teams. * Strong hands-on experience with Google Cloud Platform including BigQuery, Dataflow, Dataproc and Cloud Storage. * Experience working within the banking or regulated financial services sector. * Experience working on data platform modernisation or data product-oriented architectures. * Strong SQL engineering skills with experience designing transformations for large-scale structured datasets. * Experience using dbt or similar transformation frameworks for modular data modelling and deployment. * Strong understanding of surrogate keys, business keys, deterministic identifiers and modern data platform key management. * Experience handling sensitive data with enterprise controls such as masking, hashing, tokenisation or pseudonymisation. * Experience designing pipelines with strong data quality, lineage and traceability controls. * Understanding of batch and event-driven processing patterns and operational concerns including monitoring and recovery. * Experience working within regulated environments or financial services programmes. NICE TO HAVE * Understanding of Data Mesh or product-aligned data ownership models. * Exposure to orchestration tools such as Airflow, Control-M or similar scheduling frameworks. * Experience with data governance and metadata tooling such as Dataplex, Collibra or equivalent. * Experience supporting migration from Legacy warehouse platforms to cloud-native data platforms. ## Description The Senior Data Engineers will support the design and delivery of a strategic data capability as part of a major UK banking data transformation programme. The roles will focus on building scalable and governed data products within Google Cloud Platform. You will contribute to building, testing and deploying multiple data products, supporting a wider migration from incumbent warehouse platforms to a modern cloud-based architecture. You will work closely with solution architects, fellow data engineers and platform teams to build reliable enterprise data products. RESPONSIBILITIES * Design and develop scalable GCP-based data products. * Develop and optimise transformation logic using technologies such as dbt, Dataflow, Dataproc and BigQuery SQL. * Collaborate with solution architects, data architects, microservices engineers and platform teams to deliver aligned engineering solutions. * Support testing and validation of products including key generation quality, interoperability, lineage and operational resilience. * Produce clear technical documentation including pipeline designs, implementation standards and operational runbooks. * Work within governance, change management and release processes required in regulated financial services environments. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Making Data Warehouses fast. 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