At a Glance
- Tasks: Design and build innovative data solutions in a fast-paced agile team.
- Company: FDJ UNITED, a leading gaming operator with a focus on technology and innovation.
- Benefits: Competitive salary, diverse work environment, and opportunities for professional growth.
- Other info: Embrace challenges and thrive in a dynamic, collaborative environment.
- Why this job: Join us to shape the future of gaming and make a real impact.
- Qualifications: 5+ years in data engineering with expertise in modern data architectures.
The predicted salary is between 59400 - 72600 £ per year.
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?
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 data 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 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
- Data Platform & Architecture
- Develop and maintain robust and efficient data solutions and products including data transformation, data modelling, and reporting on both on-premises and cloud environments.
- Build modern data lake/lakehouse architectures that support scalable, flexible data processing.
- Enhance platform integration by leveraging domain events to enable more efficient and real-time data processing.
- Self-Service Analytics & Enablement
- Champion the adoption of generative AI features such as Amazon Q and Copilot to deliver intuitive analytics experiences.
- Build sophisticated solutions to deliver actionable insights, with a strong focus on performance, scalability, and data accessibility.
- Engineering Excellence & Automation
- Enhance data engineering processes through automation, implementing CI/CD pipelines, and optimizing ETL/ELT flows to improve efficiency and maintainability.
- Be a champion of best development practices on existing and new technologies.
- Collaborate with cross-functional teams to translate business requirements into technical solutions, documenting them as GAPs and aligning them with Architects.
- Data Governance & Discovery
- Facilitate data discovery and enhance data management processes using platforms like Open Metadata.
- Ensure KPIs and documentation remain accurate and up to date.
- Support data quality and compliance standards across the organization.
- Innovation & Operations
- Initiate and experiment with new ideas and approaches that support the A&I department's strategy.
- Proactively support and maintain data products, including handling release management, troubleshooting incidents, and providing on-call support as necessary.
Skills, Knowledge & Experience
- Required
- 5+ years of experience in data engineering, with demonstrated expertise in designing and implementing scalable, flexible modern data architectures.
- Experience building modern data lake/lakehouse architectures (e.g., Apache Iceberg) in cloud environments.
- Strong knowledge of AWS (S3, Redshift) or Azure data services.
- Experience with ETL/ELT processes and data ingestion.
- Proven expertise using transformation tools such as dbt.
- Experience with data pipeline orchestration tools (such as Apache Airflow).
- Experience with best practices applied to data (e.g., testing, CI/CD).
- Advantageous
- Experience developing dashboards and reporting solutions using data visualization tools such as Power BI or Amazon QuickSight.
- Experience with generative AI applications in data analytics.
- Nice to have
- Some JAVA experience.
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 such as age, gender, origin, religion, sexual orientation, neurodiversity or disability.
Senior Data Engineer (Cloud Lakehouse) in London employer: FDJ UNITED
FDJ UNITED is an exceptional employer located in the vibrant Greater London area, offering a collaborative work culture that values innovation and employee development. With a focus on meaningful change and automation, employees are provided with ample opportunities for growth and skill enhancement, making it an ideal place for those looking to advance their careers in People Systems. The company's commitment to supporting a diverse workforce ensures a rewarding and inclusive environment for all team members.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer (Cloud Lakehouse) in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like FDJ UNITED!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data Engineer (Cloud Lakehouse) at FDJ UNITED.
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like FDJ UNITED.
✨Apply Directly through Our Website
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We think you need these skills to ace Senior Data Engineer (Cloud Lakehouse) in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at FDJ UNITED, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at FDJ UNITED. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at FDJ UNITED
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at FDJ UNITED!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
