Data Engineering Manager

 Posted 2 days ago
     
5-10 years experience
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AI Summary

Lead the data engineering team through a strategic transformation into a SAAS platform provider. Oversee the remodeling of the data warehouse, implementation of governance, and management of external data contracts.

Data Engineering Manager | Europe | Remote
Please Note this is a fully remote role and can be based in either UK, Portugal, Czech Republic, Poland, Romania, Ireland & Hungary.

BVGroup brings over 80 years of expertise to every bet, delivering technology-driven betting and gaming experiences to a global audience. 

BetVictor is our flagship B2C brand, complemented by multiple partner brands we manage and service such as Heart Bingo, talkSPORT BET to name but a few.

Join us at BVGroup and make an impact in a fast-paced, global industry. Collaborate with passionate experts, tackle exciting challenges, and help define the next generation of online sports betting and gaming. 


Purpose of the role:

As a Data Engineering Manager, you will lead our team through BV Group’s transformation into a SAAS platform provider for gambling services. This strategic initiative is handing the team major increases in responsibility. In addition to maintaining an internal Data Warehouse and some deployed Data Science models, we must now start to provide data under contract to external clients and to maintain real-time data aggregation services as part of the new platform. 

By the end of 2026, we need to remodel our Data Warehouse and impose proper governance, formalise our external data contracts, migrate our internal reporting stack and build some major platform integrations. We are looking for a candidate with the experience, energy and enthusiasm to lead the team through this transformation. 


Key Responsibilities:

  • Management of Data Engineering projects through the scoping, solution design, development planning, and implementation phases. 
  • Line management of the data engineers. Including running engineering sprints, retrospectives and incident reviews.
  • Technical oversight of Data Engineering’s stack. You’re responsible for data governance and integrity; setting development standards, practices and processes; ensuring stack availability and robustness; driving performance improvements (e.g., upgrades and migrations); and management of technical debt. 
  • Supporting the work of the Data Science and Reporting teams. Including providing custom data transformations to support their use cases.
  • Collaboration with other Technology departments on cross-company projects. 

 

Essential Skills & Experience:

  • Management experience of data or software engineers, including strong communication skills.
  • Understanding of and experience with the full software development lifecycle.
  • Experience following software engineering best practices to develop and deploy applications written in Python.
  • Experience with the following technologies or some equivalent: Terraform, Git, GitLab (including CI/CD pipelines), GCP (particularly GKE, Firestore, BigQuery), Kafka and MongoDB and Airflow.
  • Ability to design and build complex data models. Knowledge of querying data and building pipelines with SQL (ideally in BigQuery or similar database engines) and other tools, including working with very large data volumes. 
  • Proactive, independent, responsible and attentive to detail.
  • Eager and able to learn, analyse, resolve problems, and improve the standard of BVGroup data infrastructure.


How we hire:
Our interviews are a two-way process, and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational, and we want to get the best from you, so come at us with questions and be curious. 

In the event that we receive sufficient applications for the role, this vacancy may be subject to early closure. Therefore, if you are interested, please submit your application as early as possible.

#LI-MR1
#LI-BVGroupRemote
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#DataPlatform
#ModernDataStack
#CloudNative
#EnterpriseData

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