Principal Data Engineer
Role Overview
Dunelm's Data and Analytics department supports decision intelligence through data platforms, analytics, optimisation, and customer insights.
The Principal Data Engineer will improve the quality, reliability, speed, scalability, and cost-effectiveness of data products.
The role provides technical and people leadership for Dunelm's data engineering capability.
Key Skills for This Role
Full Job Posting
Role overview
Dunelm's Data and Analytics department supports decision intelligence through data platforms, analytics, optimisation, and customer insights.
The Principal Data Engineer will improve the quality, reliability, speed, scalability, and cost-effectiveness of data products.
The role provides technical and people leadership for Dunelm's data engineering capability.
Working arrangement
- The role is hybrid, with two days per week expected in the London or Leicester office.
Core responsibilities
- Act as the primary solution architect for the cloud-first data platform.
- Align technical solutions with architecture governance, data roadmaps, and data strategy.
- Drive continuous improvement and technical debt remediation across core data platforms.
- Manage cost-effective delivery, monitor consumption, and identify technology spend optimisation opportunities.
- Lead technical solution design, estimation, risk management, and service remediation.
- Support delivery of Dunelm's data strategy and three-year business plan.
People leadership
- Provide leadership and mentoring to lead data engineers.
- Develop talent through career pathways, succession planning, retention, engagement, and performance management.
- Recruit, retain, onboard, and support compensation, benefits, and promotion processes for lead data engineers.
- Represent data engineering through industry events, professional networks, vendor forums, and technology communities.
Essential experience and skills
- Extensive experience line managing technical colleagues through coaching and mentoring.
- Extensive experience designing and developing modern data stack, cloud-first data platforms, and pipelines.
- Experience with Snowflake, Redshift, or BigQuery, AWS services, and DBT Labs.
- Programming experience in Python, Node.js, or another language, plus excellent SQL skills.
- Experience with conceptual, logical, physical, and dimensional data modelling.
- Experience with CI/CD using GitLab or GitHub and infrastructure as code using Terraform.
Desirable skills
- Power BI or ThoughtSpot visualisation experience.
- Understanding of quality practices and test automation.
- Experience managing consumption-based technology costs.
- Vendor management experience focused on operational and service performance.
Leadership behaviours
Build connection and common purpose across teams and use internal and external networks to shape plans.
Adapt to issues, create a safe environment for experimentation, and support flexible working.
Coach teams, develop careers, and build the capability needed for the future.
Raise hiring and promotion standards, use emerging trends to encourage big thinking, and motivate delivery.
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