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ManagerFull-timeRustAgile
Salary Range
$122,400 - $165,600 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for an Engineering Manager to join our London data team and help build a platform that changes how our business uses data. You will lead a high-performing team focused on providing trustable and usable data that meets real business needs.
Key Responsibilities
- →Lead a cross-functional team of five to eight data and analytics engineers
- →Coach team members to grow their careers and increase their autonomy
- →Foster an open and collaborative feedback culture to keep the team healthy
- →Partner with Product Managers to define projects that align with our strategy
- →Drive continuous improvement in how we measure business value and quality
- →Create space for the team to explore new technical ideas and innovations
- →Manage recruitment to bring fresh perspectives into the engineering team
- →Build a high-performing team that delivers on our mission of data trust
- →Oversee design decisions to ensure we balance technical health with speed
- →Establish strong partnerships across the business to amplify the team's impact
- →Influence decision making as part of our wider community of technical leaders
- →Lead efforts to standardize our people and technology processes
- →Manage the team budget to ensure we create maximum value for the business
- →Help transition from legacy infrastructure into a phase of consolidation
Requirements
- ✓A solid track record of leading high-performance data engineering teams
- ✓Experience building platforms as a product using agile delivery methods
- ✓A background as a senior software or data engineer
- ✓Ability to navigate complex landscapes with competing business priorities
- ✓Skill in guiding teams through significant technical data decisions
- ✓Excellent communication skills that make complex topics simple for everyone
- ✓Experience working in lockstep with product managers and senior engineers
- ✓A degree in a STEM field like Computer Science or Mathematics
- ✓Knowledge of the ecommerce domain and its specific data needs
- ✓An understanding of different data architecture paradigms and how they apply to a business
