Senior Data Platform & AI Engineering Leader

Keyloop; Reading; On-site; GBP 90,000 - 130,000; Full time

Job summary

Keyloop is building a world-class data and analytics platform to reshape automotive retail. You’ll lead the data platform engineering teams responsible for the datalake, warehouse, security, cost efficiency and scalability on AWS, while guiding analytics and real‑time data ingestion to enable trusted, high‑impact products used daily by customers.

You will oversee multiple teams, drive governance, and set engineering standards for batch, streaming and ML workflows.

Qualifications

• Strong track record shipping reliable, cost‑efficient pipelines at scale.
• Credibility in SQL/Python and with at least one of dbt/Spark.
• Proven experience using AI development tools to increase engineering efficiency

Responsibilities

• Run the function day‑to‑day. Plan, prioritise and deliver across the teams and ensure resilient operations
• Set platform direction. Support Data Architects and contribute to the modern data architecture on AWS across storage, compute, streaming, governance and cataloguing; align designs to the AWS Well‑Architected Framework and the Data Analytics Lens.
• Raise engineering standards through Embed IaC, CI/CD for data, AI based development practices, MLOps, testing, observability, lineage and cost/FinOps; codify patterns for batch, streaming and ML.
• Deliver trustworthy data. Support the teams to establish modelling conventions (e.g., layer boundaries, naming, contracts), data quality SLAs, and a governed metrics layer consumable by our ThoughtSpot visualisation platform.
• Security, privacy & compliance. Champion least‑privilege access, encryption, auditability and privacy‑by‑design across all datasets.
• People & performance. Lead managers and senior ICs; grow capability through coaching, clear career paths, hiring, and a high‑performance, inclusive culture.
• Stakeholder leadership. Partner with Product, Platform, External 3rd Parties and Customer teams to convert business goals into a data roadmap, measurable outcomes and transparent delivery.

Skills

Data leadership

AWS analytics

dbt

Spark

MLOps

Python

SQL

Tools

AWS Analytics Services

Job description

Keyloop is building a world-class data and analytics platform to reshape automotive retail. You’ll lead the data platform engineering teams responsible for the datalake, warehouse, security, cost efficiency and scalability on AWS, while guiding analytics and real‑time data ingestion to enable trusted, high‑impact products used daily by customers.

You will oversee multiple teams, drive governance, and set engineering standards for batch, streaming and ML workflows.