2,209,010open jobs
141,825companies
249,035added this week
Browse all
Location
Hybrid (London, United Kingdom)
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 12, 2026. First seen by Alion on Nov 11, 2026. Entain scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Entain is a sports betting and gaming group listed on the London Stock Exchange that owns brands such as Ladbrokes, Coral, bwin, partypoker, Sportingbet and Foxy Bingo, and co-owns BetMGM in the United States. It operates retail betting shops and online platforms across Europe, Australia and other regulated markets, with technology hubs in Hyderabad, Sofia and elsewhere. The company is headquartered in London, England, United Kingdom.

About Entain

There's nothing like a career at Entain. We're a leading, global sports betting and gaming company and we're upping the excitement and increasing player safety. We're a FTSE company with iconic brands including Ladbrokes, Coral, BetMGM, Eurobet and bwin, and we have an energy that drives us to perform at the height of our potential. Whether you're an engineer, marketer or retail specialist, a career here is a complete game changer.

This is a hybrid role. As a Data & Analytics Engineer you will provide technical leadership across the data platform, defining engineering standards and architecture while delivering complex, data solutions.

Reporting to the head of Data & Analytics, you will provide technical leadership across the data platform, define engineering standards and architecture while delivering complex, data solutions. you will be part of the,Data & Analytics department whoefining engineering standards and architecture while delivering complex, data solutions.

You Will:

  • Lead the implementation of scalable data architectures and pipelines across the platform
  • Lead the technical direction for data engineering, ensuring solutions are performant, maintainable, and cost-efficient
  • Shape engineering standards, patterns, and best practices (e.g. modelling, CI/CD, DataOps, testing)
  • Lead the delivery of complex, cross-domain data programs, working across multiple teams
  • Partner with senior partners to translate our needs into technical data solutions and platform capabilities
  • Work with analytics teams to ensure data is accessible, well-structured, and fit for analytical use
  • Improve platform performance, cost optimisation (FinOps), and scalability
  • Resolve systemic data issues, improving reliability across the platform
  • Champion data governance, security, and compliance within engineering practices
  • Ensure data is handled following organisational standards for security, access control, and regulatory compliance
  • Be a technical mentor, supporting the development of engineers across the team
  • Contribute to code reviews, design reviews, and technical decision-making forums
  • Influence tooling, frameworks, and approaches to improve engineering capability
  • Collaborate across engineering, analytics, and product teams to deliver integrated, high-quality data solutions
  • Stay informed on industry trends and latest technologies, bringing relevant innovation into the organisation

You Have:

  • Expertise in data engineering, including data pipelines, modelling, and platform architecture
  • Advanced SQL and programming capability (e.g. Python, R)
  • Experience designing scalable, production-grade data systems implementing best practices around data processing on an industrial scale
  • Experience with cloud data platforms (e.g. Snowflake, Databricks) and other cloud technologies such as Amazon Web Services, Google Cloud Platform and Azure
  • Experience defining and implementing engineering standards, frameworks, and best practices, including Software Data Life cycle (SDLC) CI/CD, and QA frameworks
  • Knowledge of CI/CD, orchestration, and DataOps principles
  • Think "outside of the box" to unblock yourself and other members of the Squad when challenges arise
  • Demonstrate a high level of skillfulness about your work, the end experience of the customer, and effect on overall product
  • Adapt to new technologies and technical challenges, working in a dynamic and agile organisation
  • Always suggest ideas and making changes to lead more value from their daily role, or improve the customer journey
  • Optimise performance, cost, and reliability in data platforms to keep costs to a minimum whilst delivering as performant as possible.
  • Experience with data governance, security, and compliance, with the ability to embed these in engineering practices

Benefits

At Entain, we know that signing top players requires a great starting package, and plenty of support to inspire you. Join us, and a great compensation package is just the beginning. You can expect to receive benefits like:

  • A regular bonus and great pension.
  • 25 days annual leave and all bank holidays.
  • Extra paid leave, including wellbeing and development days.
  • Life assurance and Income Protection.
  • Private healthcare and wellbeing support.
  • A stake in our success through our ShareSave scheme.

How we use Artificial Intelligence (AI) in recruitment

We may use approved AI tools to make recruitment simpler and more efficient, while keeping people at the heart of what we do. These tools support our teams and give them more time to focus on you.

Fairness, transparency and trust

Our recruiters and hiring managers oversee how we use AI and remain responsible for hiring decisions. These tools support administrative aspects of the recruitment process, giving our teams more time to focus on you We're open about its use and handle your information following our Job Applicant Privacy Notice. AI supports our decisions, it doesn't make them.

Equal Opportunities.

If you need any reasonable adjustments at any stage of the recruitment process, please contact us and we'll support you.

We're committed to creating a diverse, equitable and inclusive workplace where everyone feels valued, respected and able to be themselves.

We're an equal opportunities employer. We welcome applications from everyone and we do not discriminate based on age, disability, gender or gender reassignment, pregnancy or maternity, race, religion or belief, sexual orientation, marriage/civil partnership, or any other basis.

We comply with all applicable recruitment regulations and employment laws in the jurisdictions where we operate, ensuring ethical and compliant hiring practices globally.

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
2,209,010 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

Data Science
Remote, many countries
Similar stack
Same company
London
$106k – $160k per year · Remote (United Kingdom) · Contractor · 5+ years exp · London
Python
Databases
Azure SQL Database
AI/ML
dbt
DevOps
Rest API
Azure DevOps
Azure
CI/CD
Analytics
Azure Data Factory
Apply
Data Engineer 1 day ago
Hybrid · Full-Time · London
SQL
Databases
Google BigQuery
AI/ML
Model Context Protocol
dbt
Machine Learning
DevOps
GCP
Analytics
ETL/ELT
Apply
Hybrid · Internship · Bachelor's Degree · London
Python
Java
SQL
AI/ML
Hadoop
DevOps
AWS
Analytics
Tableau
ETL/ELT
Cognos
Apply
Lead Data Engineer 3 months ago
$100k – $113k per year · Hybrid · 8+ years exp · PhD · United Kingdom
Python
SQL
Python
pySpark
Databases
Databricks
Delta Lake
AI/ML
Spark
MLFlow
DevOps
Azure
CI/CD
AWS
Amazon S3
IAM
Amazon Kinesis
Cryptography
Vault
Apply
$147k – $193k per year · Equity · In office · London
Scala
Databases
Apache Kafka
AI/ML
Spark
Flink
Apply
Remote (EAEU) · 5+ years exp · Yekaterinburg
SQL
Bash
Databases
PostgreSQL
Oracle
DevOps
Terraform
Ansible
Vagrant
CI/CD
Linux
Apply
Remote (EAEU) · Full-Time · Moscow
Python
SQL
Python
pySpark
Databases
ClickHouse
Apache Iceberg
Apache Kafka
Greenplum
Trino
AI/ML
Hadoop
Spark
Airflow
Feature Store
Apply
Remote (likely Europe) · Full-Time · 12+ years exp · Bachelor's Degree
Python
Java
SQL
Scala
Databases
Snowflake
Databricks
Apache Kafka
Google BigQuery
Amazon Redshift
AI/ML
AutoGen
LangChain
Spark
Model Context Protocol
Dagster
dbt
Embeddings
AI Agents
Semantic Kernel
Flink
LLM
RAG
LLMOps
Feature Store
Multi-Agent Systems
Machine Learning
Frontend
GraphQL
DevOps
Rest API
GCP
Azure
CI/CD
AWS
Docker
Kubernetes
Amazon Kinesis
Analytics
ETL/ELT
Informatica
Data Vault
Master Data Management
Collibra
Alation
Apply
Remote (LATAM) · Contractor · 5+ years exp
Python
SQL
Python
Flask
FastAPI
Databases
Google BigQuery
AI/ML
Airflow
dbt
AI Agents
DevOps
Rest API
GCP
Platform Engineering
Analytics
Dimensional Modeling
Apply
Remote (EAEU) · Minsk
Python
SQL
AI/ML
Machine Learning
Apply
Hybrid · Internship · Bachelor's Degree · London
Python
Java
SQL
AI/ML
Hadoop
DevOps
AWS
Analytics
Tableau
ETL/ELT
Cognos
Apply
≈ $96k – $183k per year (Estimated) · In office · London
SQL
Databases
Databricks
AI/ML
Airflow
DevOps
gRPC
GCP
Azure
CI/CD
AWS
SLI/SLO/SLA
Analytics
ETL/ELT
SSIS
SSAS
Dimensional Modeling
Management
Agile
Apply
Hybrid · Full-Time · London
Python
SQL
Apply
Hybrid · Full-Time · London
Python
JavaScript
TypeScript
Node JS
Python
SQLAlchemy
FastAPI
Node JS
TypeORM
Frontend
Redux
Next.js
React.js
DevOps
Terraform
Docker Compose
Vercel
CI/CD
AWS
Docker
AWS Lambda
Management
Agile
QA
Cypress
Playwright
Pytest
Vitest
Apply
≈ $65k – $124k per year (Estimated) · Hybrid · Full-Time · London
AI/ML
AWS Strands Agents
Apply
See all jobs
This is one of many
2,209,010 more open roles from verified company boards, updated every day.