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# Associate Data Engineering Manager

- **Company:** Booksy
- **Location:** UK (Remote available)
- **Experience:** Expert
- **Salary:** £48,227.0
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, Airflow, Apache HTTP Server, BigQuery, Cloud Database, Software Quality, Information Engineering, Data Warehousing, Cursor (Graphical User Interface Elements), Scrum Methodology, Standard Sql, Scripting, Google Cloud, Core Api, Data Lakes, Pyspark, Data Analytics, Terraform, Data Pipelines
- **Published:** July 18, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5805061312

## About the Role

Essentially, to ensure you succeed in this role you're going to need…

 * Proven Data Engineering Foundation: 5+ years of hands-on experience in data engineering, coupled with initial leadership experience (such as tech leading, mentoring, or guiding small groups).
 * Modern Data Stack Expertise: Production-level experience designing and reviewing dbt models and data pipelines hosted on Google Cloud BigQuery.
 * Core Development Skills: Expert-level SQL skills and strong Python scripting capabilities for pipeline orchestration (e.g., using Airflow or Cloud Composer).
 * Agile & Delivery Mindset: Practical experience running agile ways of working and a natural drive to take ownership of delivery commitments.
 * English Fluency: At a minimum, we require professional English language skills (B2 level or higher). Why? English is our company language and is used for any business-wide communications, so we need you to be able to communicate smoothly to feel like an integrated part of Booksy., * Infrastructure as Code: Basic familiarity with Terraform to manage cloud-based data assets.
 * Next-Gen Tech Exposure: Familiarity with PySpark and open table formats like Apache Iceberg or Delta Lake.
 * AI-Assisted Workflows: Experience utilizing tools like Cursor or Claude in your daily engineering tasks to boost productivity and code quality.

## Description

As an Associate Data Engineering Manager reporting to the Head of Data Engineering in our Data & Analytics - Data Engineering team, your purpose will be to lead a small team of 2-4 talented data engineers while remaining technically hands-on.

You'll spend about half of your time helping your team grow, running agile ceremonies (like sprint planning and retros), and owning your team's quarterly OKRs. The other half of your time will keep you close to the technology - designing, building, and reviewing high-quality dbt models and pipelines on BigQuery to ensure our data is reliable, performant, and ready for action.


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