Staff Data Engineer: Architect Data at Scale

Staff Data Engineer: Architect Data at Scale

Full-Time 60000 - 80000 £ / year (est.) No working from home possible
hackajob

At a Glance

  • Tasks: Design and deliver modern data platforms while leading engineering reviews and shaping priorities.
  • Company: Join hackajob, collaborating with Sainsbury's DTD in a forward-thinking environment.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Work in a collaborative culture with a focus on innovation and security.
  • Why this job: Make an impact by architecting scalable data solutions in a dynamic team.
  • Qualifications: Experience in data engineering, cloud services, and a passion for data governance.

The predicted salary is between 60000 - 80000 £ per year.

hackajob, in collaboration with Sainsbury's DTD, is seeking a Staff Engineer to help design and deliver modern data platforms at scale.

You’ll work with the Head of Engineering and engineering managers to shape priorities, lead reviews, and create reusable patterns across multiple squads.

This role emphasizes security, GDPR, data governance, observability, and cost-conscious decisions, with exposure to cloud data services, Kafka, and contemporary data tools.

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Staff Data Engineer: Architect Data at Scale employer: hackajob

At hackajob, we pride ourselves on being an exceptional employer that fosters a culture of innovation and inclusivity. Our diverse team thrives in a high-performance environment where your contributions directly impact our multi-asset platform's success. With ample opportunities for professional growth and a commitment to employee development, joining us means being part of a forward-thinking company that values your expertise and ambition.

hackajob

Contact Details:

hackajob Recruitment Team

We think you need these skills to ace Staff Data Engineer: Architect Data at Scale

SQL
Python
Data Pipeline Development
Data Engineering
API Integration
Problem-Solving Skills
Data Governance