Job Description

About Us



At FDJ UNITED, we don't just follow the game, we reinvent it.



FDJ UNITED is one of Europe's leading betting and gaming operators, with a vast portfolio of iconic brands and a reputation for technological excellence. With more than 5,000 employees and a presence in around fifteen regulated markets, the Group offers a diversified, responsible range of games, both under exclusive rights and open to competition. We set new standards, proving that entertainment and safety can go hand in hand. Here, you'll work alongside a team of passionate individuals dedicated to delivering the best and safest entertaining experiences for our customers every day.



We're looking for bold people who are eager to succeed and ready to level-up the game. If you thrive on innovation, embrace challenges, and want to make a real impact at all levels, FDJ UNITED is your playing field.



Join us in shaping the future of gaming. Are you ready to LEVEL-UP THE GAME?



The role



As a Senior Data Engineer, you will be at the forefront of designing and building innovative data solutions within a fast-paced agile data engineering team. You will play a crucial role in modernizing our platform to enhance product offerings, closely collaborating with stakeholders across the organization to maximize the value of data for reporting, analytics, and decision-making processes.



In this role, you'll help transform our multi-cloud data landscape, working with streaming technologies, cloud data warehouses, and Lakehouse architectures to unlock new insights and capabilities for our business units. Additionally, you will leverage automation and generative AI to increase operational efficiency and enhance self-service capabilities across the organization.



Key responsibilities



Develop and maintain robust and efficient data solutions and products including data transformation, data modelling and reporting on both on-prem and cloud



Enhance platform integration by leveraging domain events to enable more efficient and real-time data processing



Collaborate with business stakeholders and analysts to enable self-service analytics through Power BI and other visualisation tools including the use of generative AI features such as Amazon Q and Co-Pilot



Collaborate with cross-functional teams to translate business requirements into technical solutions, document them as GAPs by aligning them with Architects



Build sophisticated solutions to deliver actionable insights, with a strong focus on performance, scalability, and driving the adoption of generative AI to enable intuitive self-service analytics



Enhance data engineering processes through automation, implementing CI/CD pipelines, and optimizing ETL/ELT flows to improve efficiency and maintainability



Initiates and experiments with new ideas and approaches that support A&I department's strategy



Facilitate data discovery and enhance data management processes using platforms like OpenMetadata and ensure KPIs and documentation remain accurate and up-to-date



Be a champion of best development practices on existing and new technologies



Proactively support and maintain data products, including handling release management, troubleshooting incidents, and providing on-call support as necessary



Ensure that you adhere to the Governance, Risk & Compliance (GRC) obligations for your role.

Identify and raise any non-compliance incidents promptly to your line manager.

Challenge processes, policies and projects that will negatively impact compliance within the Group.

Complete all mandatory compliance training assigned to you.

Reach out to the Compliance Teams if unsure of any of your compliance obligations or the requirements are unclear.

Skills, knowledge, and experience:

5+ years of experience in data engineering, with demonstrated expertise in designing and implementing data applications and products



Experience implementing modern Data Lake/Lakehouse architectures (e.g., Apache Iceberg) within cloud environments, with strong knowledge of cloud technologies (AWS S3, Redshift or Azure data services)



Advanced SQL skills with experience optimizing complex queries across different database systems



Hands-on experience with Apache Kafka and event-driven architectures



Implementation of ETL processes and data structure



Experience with developing dashboards and reporting solution using data visualization tools such as Power BI



Experience with best practices applied to data e.g., testing, CI/CD



Good attitude and willingness to learn new skills and technologies



Self-motivated, proactive with excellent communication skills



Our Way Of Working



Our world is hybrid.



A career is not a sprint. It's a marathon. One of the perks of joining us is that we value you as a person first. Our hybrid world allows you to focus on your goals and responsibilities and lets you self-organise to improve your deliveries and get the work done in your own way.



Application Process



We believe talent knows no boundaries. Our hiring process focuses solely on your skills, experience, and potential to contribute to our team. We welcome applicants from all backgrounds and evaluate each candidate based on merit, regardless of personal characteristics as the age, gender, origin, religion, sexual orientation, neurodiversity or disability.



Details

Hybrid

London, Stockholm

Full Time Permanent

TEC2591

Location

London

Stockholm

Kindred House, 17-25 Hartfield Road, Wimbledon, London, United Kingdom, SW19 3SE

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Benefits

Well-being allowance

Learning and development opportunities

Inclusion networks

Charity days

Long service awards

Social events and activites

Private medical insurance

Life assurance and income protection

Employee Assistance Programme

Pension

Meet the recruiter

Prachi Arya



prachi.arya@kindredgroup.com