Manchester, England, United Kingdom
Live, first seen by us 22 days agoEmployment type in the employer’s posting: Full-timeFrom the employer’s posting
Manage the GCP environment, including BigQuery, Analytics Hub and Big Lake
Develop and maintain robust load processes into the Data Lake
Design processes and standards for GCP products
Drive departmental standards and enforce development processes
Create and maintain technical documentation
Manage the GCP environment, including BigQuery, Analytics Hub, and Big Lake
Develop and maintain robust load processes into the Data Lake
Design processes and standards for GCP products
Drive the ongoing evolution of departmental standards and enforce adherence to development processes
Create and maintain all relevant technical documentation
Commercial GCP background including BigQuery, Dataform and GCS
Knowledge of Data Lake technologies such as Airflow, Kafka, Flink and Python
Relational set-based processing through complex SQL queries
Proven ability to leverage AI within a production workflow
Background working within a Data Lake or Data Warehouse platform
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
Day 22
Similar jobs usually come down between day 6 and day 54.
At Bet365 Group, jobs usually come down by about day 20.
From 11,032 similar postings that came down, and 55 of Bet365 Group’s. Coming down is not always a hire.
17 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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- Commercial GCP background including BigQuery, Dataform and GCS - Knowledge of Data Lake technologies such as Airflow, Kafka, Flink and Python - Relational set-based processing through complex SQL queries
- Knowledge of Data Lake technologies such as Airflow, Kafka, Flink and Python - Relational set-based processing through complex SQL queries - Proven ability to leverage AI within a production workflow
Qualifications - Commercial GCP background including BigQuery, Dataform and GCS - Knowledge of Data Lake technologies such as Airflow, Kafka, Flink and Python
Additional Information - Manage the GCP environment, including BigQuery, Analytics Hub, and Big Lake - Develop and maintain robust load processes into the Data Lake
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Yes. We’ve followed one other Data Lake Developer job there since September 2026. It came down after 29 days.
New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
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.
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.
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.
Dive into expansive datasets and shape the future of data infrastructure as a Data Lake Developer.
The Data Engineering department builds and maintains the robust infrastructure that powers global operations. Handling vast amounts of information daily, the team ensures data is accessible, secure and optimised for complex analytical processing. As a Data Lake Developer, you will deliver everything from large-scale transformations linked to business-critical programmes to bespoke improvements for individual users.
Navigating a continually evolving technical landscape, you will collaborate with various teams to elevate the performance of the data lake and data warehouse. Tackling complex technical challenges, you will help satisfy the ever-changing demands of the business while maintaining exceptional standards of work.
This role is eligible for inclusion in the Company’s hybrid work from home policy.
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.
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.
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Manchester, England, United Kingdom
Navigating a continually evolving technical landscape, you will collaborate with various teams to elevate the performance of the data lake and data warehouse. Tackling complex technical challenges, you will help satisfy the ever-changing demands of the business while maintaining exceptional standards of work. This role is eligible for inclusion in the Company’s hybrid work from home policy. Qualifications
No clear work-authorization passage found. Eligibility is unconfirmed.