Senior Manager, Data Engineering
&Evolve
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇬🇧 United Kingdom
Visit company websiteJob Level
Senior
Tech Stack
AWSCloudPythonSparkSQL
About the role
- Join us to build a world‑class data and analytics platform that will reshape automotive retail.
- Lead the engineering discipline that powers our data lake, warehouse, real‑time clickstream, and applied AI—turning large‑scale data into trusted, high‑impact products our customers use every day.
- Own our AWS‑based datalake, warehouse and core data infrastructure, including security, reliability, cost efficiency and scalability.
- Drive data modelling, transformation and pipeline standards through the lake/warehouse to power governed, reusable semantic layers and metrics.
- Operate and evolve our real‑time event ingestion and processing to bring product telemetry and digital signals into the platform.
Requirements
- Proven leadership of multi‑team data engineering organisations (platform, analytics engineering, streaming and ML/AI) in a product‑led, cloud‑native environment.
- Data Architecture and operational expertise with AWS analytics services and modern data architecture (lake + warehouse + streaming under unified governance).
- Strong track record shipping reliable, cost‑efficient pipelines at scale; credibility in SQL/Python and with at least one of dbt/Spark.
- MLOps experience: feature pipelines, automated testing, model versioning/registry, promotion workflows and post‑production monitoring.
- Excellent people leadership: hiring, developing and performance‑managing senior engineers; setting clear goals and creating psychological safety.
- Effective stakeholder management and communication—from architecture decisions to executive updates.
Benefits
- An inclusive environment to thrive
- Professional development opportunities
- Opportunities for career growth
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data architecturedata modelingdata transformationdata pipelineSQLPythondbtSparkMLOpsreal-time event processing
Soft skills
leadershipstakeholder managementcommunicationgoal settingpsychological safetyteam developmentperformance management