Senior Data Engineer

Futureheads Recruitment | B Corp™; Greater London; On-site; GBP 90,000 - 140,000; Full time

Job summary

Futureheads Recruitment | B Corp™ is supporting a well-funded retail client in London as they modernise their commercial technology and data estate. They seek a Senior Data Engineer to lead a major platform transformation, hands-on building data pipelines, ensuring data quality and reliable reporting during migration.

You will design and operate high-volume pipelines, drive governance, collaborate with Product, Operations, Technology and Data teams, and help shape architecture for scalable data

Qualifications

• Experience designing and operating production-grade data pipelines.
• Strong data modelling and data quality practices.
• Experience with cloud data platforms such as BigQuery, Snowflake or Redshift.
• Proficient in Python and SQL.
• Experience with dbt and Airflow.
• Exposure to reverse ETL and commercial data ecosystems.
• Ability to influence stakeholders across technical and non-technical teams.

Responsibilities

• Designing and maintaining high-volume data pipelines feeding a modern cloud data platform.
• Driving data quality, observability, monitoring and alerting across critical datasets.
• Implementing data contracts, SLAs and governance processes to improve reliability.
• Ensuring upstream changes do not negatively impact downstream reporting, analytics or operational workflows.
• Supporting migration and redesign of key customer and commercial data models.
• Working closely with Product, Operations, Technology and Data teams to influence architecture decisions.
• Improving data resilience across a complex ecosystem of business systems and integrations.

Skills

Data pipelines

Cloud platforms

Python

SQL

Data governance

Collaboration

GCP

BigQuery

Reverse ETL

Tools

Airflow

dbt

BigQuery

Snowflake

Redshift

Job description

We're supporting a well-funded, fast-growing retail consumer-focused business as they modernise a critical part of their commercial technology and data estate.

They're looking for a Senior Data Engineer to lead the data engineering workstream within a major customer platform transformation programme. This is a hands‑on role focused on building resilient data pipelines, protecting data quality, and ensuring business‑critical reporting and operational systems continue to run seamlessly during a large‑scale migration.

You’ll Be Doing

• Designing and maintaining high-volume data pipelines feeding a modern cloud data platform
• Driving data quality, observability, monitoring and alerting across critical customer and commercial datasets
• Implementing data contracts, SLAs and governance processes to improve reliability
• Ensuring upstream system changes don't negatively impact downstream reporting, analytics or operational workflows
• Supporting the migration and redesign of key customer and commercial data models
• Working closely with Product, Operations, Technology and Data teams to influence architecture decisions
• Improving data resilience across a complex ecosystem of business systems and integrations

What We’re Looking For

• Strong experience building and operating production‑grade data pipelines
• Expertise in data modelling, pipeline reliability, monitoring and data quality practices
• Experience working with modern cloud data platforms such as BigQuery, Snowflake or Redshift
• Strong Python and SQL skills
• Experience with dbt and orchestration tooling such as Airflow
• Exposure to reverse ETL, customer data platforms or commercial data ecosystems
• Ability to work across technical and non-technical teams and influence stakeholders
• A proactive, self-sufficient engineer who can quickly add value in a fast-moving environment
• GCP and BigQuery
• Census or similar reverse ETL tooling
• Segment or customer data platforms
• CRM and customer lifecycle data
• Ecommerce, retail, SaaS or subscription-based businesses
• AI-assisted engineering tools such as Copilot or Claude

Why Join?

• High-profile transformation programme with significant business impact
• Strong engineering culture with plenty of autonomy
• Opportunity to shape architecture and engineering standards
• Likely extension beyond the initial contract