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Data Distribution Team Leader

Manchester, England, United Kingdom

Actively hiring, first seen by us today
Pay
Pay not listed
Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting
Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting

What you’ll work on

Full posting
  • You'll manage sprint deliveries and guide an engineering team modernising our data landscape.

From the employer’s posting
Our Data Distribution and Analytics department is responsible for transforming complex datasets into reliable reporting solutions, business dashboards and data extracts across the organisation. You'll manage sprint deliveries and guide an engineering team modernising our data landscape. Working across BigQuery, Google Cloud Platform (GCP), Looker, Airflow and a legacy Microsoft SQL Server estate, you'll collaborate with stakeholders to understand business requirements and ensure the team deliver high quality work. This role is eligible for inclusion in our hybrid work from home policy.

What you’ll bring

All qualifications

Core experience

  • Experience leading Agile teams, managing sprint deliverables and ceremonies
  • Strong understanding of database design concepts and techniques with the ability to convert complex problems into simple solutions
  • Ability to understand technical vernacular and effectively communicate this to technical and non-technical staff
  • Experience within the Gaming industry would be advantageous
Qualification wording
Experience leading Agile teams, managing sprint deliverables and ceremonies
Strong understanding of database design concepts and techniques with the ability to convert complex problems into simple solutions
Ability to understand technical vernacular and effectively communicate this to technical and non-technical staff
Experience within the Gaming industry would be advantageous
Apply at Bet365 Group

Posting record

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Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 5, 2026today
Recorded sightings
1

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 0

Early. Similar jobs usually come down between day 6 and day 54.

At Bet365 Group, jobs usually come down by about day 20.

From 11,033 similar postings that came down, and 55 of Bet365 Group’s. Coming down is not always a hire.

Bet365 Group is hiring

17 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Engineer hiring is picking up
  • Takes jobs down quickly
  • 71% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • SQL
  • BigQuery
  • GCP
  • Looker
  • SQL Server
  • Airflow
Where the posting names them
Our Data Distribution and Analytics department is responsible for transforming complex datasets into reliable reporting solutions, business dashboards and data extracts across the organisation. You'll manage sprint deliveries and guide an engineering team modernising our data landscape. Working across BigQuery, Google Cloud Platform (GCP), Looker, Airflow and a legacy Microsoft SQL Server estate, you'll collaborate with stakeholders to understand business requirements and ensure the team deliver high quality work. This role is eligible for inclusion in our hybrid work from home policy.
Qualifications - Recent commercial experience in any of the follow technologies would be advantageous: BigQuery, GCP, Looker, Airflow and Microsoft SQL Server - Experience leading Agile teams, managing sprint deliverables and ceremonies

Your next step

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Has Bet365 Group posted this job before?

Yes. We’ve followed 2 other Data Distribution Team Leader jobs there since October 2026. One came down after 1 day. One is still up.

  1. Stoke-On-TrentCame down after 1 day, first seen Oct 13
  2. Stoke-On-TrentStill up after 22 days, first seen Oct 14
  3. This jobUp 0 days so far, first seen Nov 5

Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.

Weekly new Data Engineer postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 839, the most 1,314, and the latest week had 1,086.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

Job Description

Step into the role of Data Distribution Team Leader, where you'll mentor talented engineers and oversee the delivery of complex business projects, high quality dashboards, reports and data extracts across the organisation.

Our Data Distribution and Analytics department is responsible for transforming complex datasets into reliable reporting solutions, business dashboards and data extracts across the organisation.

You'll manage sprint deliveries and guide an engineering team modernising our data landscape. Working across BigQuery, Google Cloud Platform (GCP), Looker, Airflow and a legacy Microsoft SQL Server estate, you'll collaborate with stakeholders to understand business requirements and ensure the team deliver high quality work. 

This role is eligible for inclusion in our hybrid work from home policy.

Qualifications

  • Recent commercial experience in any of the follow technologies would be advantageous: BigQuery, GCP, Looker, Airflow and Microsoft SQL Server 
  • Experience leading Agile teams, managing sprint deliverables and ceremonies 
  • Strong understanding of database design concepts and techniques with the ability to convert complex problems into simple solutions
  • Highly organised and adaptable, capable of managing multiple large-scale projects simultaneously
  • Adept at prioritisation, delivery and driving efficiency in a high throughput environment
  • Ability to understand technical vernacular and effectively communicate this to technical and non-technical staff
  • Collaborative leadership approach focused on coaching, mentoring and continuous team development
  • Experience within the Gaming industry would be advantageous

Additional Information

  • Line manage a team of data engineers, supporting their professional growth through regular coaching and appraisals
  • Direct sprint workflows, triaging and prioritising deliverables to meet project timelines
  • Ensure the team develop simple, efficient and robust solutions 
  • Collaborate with stakeholders to ensure business requirements for data extracts and dashboards are accurate
  • Maintain high standards of data governance
  • Drive continuous improvements in team working practices, tooling and development processes
  • Ensure the quality and integrity of highly optimised datasets and reporting to support Board, Finance and regulatory requirements 

By applying to us you are agreeing to share your Personal Data in accordance with our Recruitment Privacy Notice - https://www.bet365careers.com/privacy-policy

At bet365, we're committed to creating an environment where everyone feels welcome, respected and valued. Where all individuals can grow and develop, regardless of their background. We're Never Ordinary, and we're always striving to be better. If you need any adjustments or accommodations to the recruitment process, at either application or interview, please don’t hesitate to reach out.

Company Description

We’re one of the world’s leading online gambling companies, revolutionising the industry since 2000. Founded by Denise Coates CBE, we now employ over 10,000 people and serve over 120 million customers in 26 languages.

We empower our employees to push boundaries and explore new ideas, cultivating a culture that celebrates and rewards creativity. This offers employees a wealth of growth opportunities, giving them the opportunity to make a real impact in the world of online gambling and gaming. As a forward-thinking company, we’re breaking new ground in software innovation too, redefining what’s possible for our customers worldwide.

Our focus on In-Play betting has solidified our market-leading position, featuring more than 1.38 million In-Play sporting events a year. With over 750 concurrent sporting fixtures at peak and more live sports streamed than anyone else in Europe (750,000), we handle over 6 million HTTP requests daily and process more than 1.5 million bets per hour at peak.

Source details

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Pay

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Location & working pattern

Manchester, England, United Kingdom

You'll manage sprint deliveries and guide an engineering team modernising our data landscape. Working across BigQuery, Google Cloud Platform (GCP), Looker, Airflow and a legacy Microsoft SQL Server estate, you'll collaborate with stakeholders to understand business requirements and ensure the team deliver high quality work. This role is eligible for inclusion in our hybrid work from home policy. Qualifications
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