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For Companies At a Glance
- Tasks: Design and maintain data pipelines using AWS and Databricks for financial systems.
- Company: Join Flutter, a global leader in online sports betting and iGaming with diverse brands.
- Benefits: Enjoy flexible working, uncapped holiday, private healthcare, and a £1,000 learning fund.
- Why this job: Be part of a forward-thinking team driving automation in the gaming industry.
- Qualifications: Experience in Databricks, Python, AWS services, and collaborative development environments required.
- Other info: Open to applicants from various backgrounds; adjustments can be made for accessibility.
The predicted salary is between 48000 - 84000 £ per year.
This role is open for recruitment in our Leeds, Dublin, London, Cluj and Porto offices. Benefits will be in line with the entity in each country. Please note: We are unable to provide visa sponsorship for this position. Candidates must have the right to work in the UK (or applicable country) without sponsorship.
About Flutter Functions
The Flutter Functions division is a key component of Flutter Entertainment, responsible for providing essential support and services across the organization. The division encompasses various corporate functions, including finance, legal, human resources, technology, and more, ensuring seamless operations and strategic alignment throughout the company.
In Flutter Finance we pride ourselves in providing global expertise to ensure Flutter is financially healthy. Utilising our Flutter Edge to turbo-charge our capabilities. As part of Flutter's Finance Automation strategy, we are looking for an individual with strong coding ability and expertise in cloud-based data transfer solutions to join the team. This role sits within Flutter Group Finance Systems and Technology.
This role specifically focuses on utilizing AWS Transfer Family and Databricks to retrieve data from third-party providers via API and SFTP, ensuring seamless integration into Flutter's financial systems. Additionally, knowledge of networking, secure connectivity, S3 storage, and Databricks querying will be advantageous.
Role Overview
As a Senior Cloud Data Engineer, you will be responsible for designing, building and maintaining robust data pipelines and infrastructure primarily using AWS and Databricks. This role requires a blend of cloud engineering and data engineering expertise to support automation initiatives across Flutter's global finance organisation. You will work closely with stakeholders across finance, technology, and security to ensure data flows securely and efficiently from external providers into our financial platforms.
Key Responsibilities
- Develop and maintain scalable data pipelines using Databricks, Spark, and Delta Lake to process large volumes of structured and semi-structured data.
- Design ETL/ELT workflows to extract data from third-party APIs and SFTP sources, standardise and transform it for downstream financial systems.
- Implement infrastructure and data management solutions on AWS, including secure storage, access control and monitoring.
- Collaborate with finance and data teams to translate business requirements into reliable data workflows.
- Apply software engineering principles such as version control, unit testing, error handling, and CI/CD deployment to all code and pipeline development.
- Ensure all data pipelines are fully documented and meet appropriate standards for security, resilience and operational support.
Skills & Experience Required
Essential:
- Hands-on experience developing data pipelines in Databricks, with a strong understanding of Apache Spark and Delta Lake.
- Proficient in Python for data transformation and automation tasks.
- Solid understanding of AWS services, especially S3, Transfer Family, IAM, and VPC networking.
- Experience integrating data from external APIs and SFTP sources.
- Familiarity with SQL for data profiling, analysis, and transformation.
- Strong knowledge of cloud and data security practices.
- Experience working in a collaborative development environment using Git and infrastructure-as-code tools (e.g., Terraform).
- Ability to clearly document technical solutions and communicate with both technical and non-technical stakeholders.
Desirable:
- Experience with job orchestration tools (e.g., Airflow, AWS Step Functions).
- Exposure to finance data structures or ERP systems (e.g., Oracle Fusion).
- Familiarity with CI/CD pipelines and deployment strategies in a cloud environment.
- Monitoring and observability tools (CloudWatch, Grafana with Prometheus, or similar).
What’s in it for you
We are a flexible employer; whether you have personal commitments or a hobby that brings you joy, we want you to bring your best self to work and feel empowered to do so. We also like to share our success; after all you make it happen. We have an excellent benefits package that can be personalised to you:
- Bonus scheme
- Uncapped holiday allowance
- Enhanced pension scheme
- Private healthcare
- Life assurance
- Income protection
- Hybrid working
- £1,000 annual self-development learning fund
- Invest via the Flutters Sharesave Scheme
- Paid volunteering days
- Enhanced parental leave
- Wellbeing fund (£/€250 a year)
- Recognition programs
- Electric car scheme, gym membership, discounts, vouchers and much more!
About Flutter
We are a world leader in online sports betting and iGaming, with a market leading position in the US and across the world. We have an unparalleled portfolio of the most innovative, diverse and distinctive brands including FanDuel, Sky Betting & Gaming, Sportsbet, PokerStars, Paddy Power, Sisal, tombola, Betfair, MaxBet, Junglee Games and Adjarabet. With our global scale and challenger attitude, through which we excite and entertain our customers, in a safe and sustainable way. Using our collective power, the Flutter Edge, we aim to disrupt the sector, learning from the past to create a better future for our customers, colleagues and communities.
We’re working to be an inclusive employer, and we encourage people from all backgrounds, ways of thinking and working to apply. Everyone brings different perspectives and experiences; you don’t have to meet all the requirements listed to apply for this role. If you need any adjustments to make this role work for you let us know, and we’ll see how we can accommodate them.
Senior Cloud Data Engineer (AWS), Flutter Functions employer: Flutter
Contact Detail:
Flutter Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Cloud Data Engineer (AWS), Flutter Functions
✨Tip Number 1
Familiarise yourself with AWS services, especially S3, Transfer Family, and IAM. Understanding these tools will not only help you in interviews but also demonstrate your proactive approach to mastering the technologies that are crucial for this role.
✨Tip Number 2
Engage with the Flutter community on platforms like LinkedIn or relevant tech forums. Networking with current employees can provide insights into the company culture and expectations, which can be invaluable during your application process.
✨Tip Number 3
Brush up on your Python skills, particularly in data transformation and automation tasks. Being able to showcase your coding abilities in practical scenarios can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss your experience with Databricks and Apache Spark in detail. Be ready to explain how you've used these technologies in past projects, as this will highlight your hands-on experience and problem-solving skills relevant to the role.
We think you need these skills to ace Senior Cloud Data Engineer (AWS), Flutter Functions
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in cloud data engineering, particularly with AWS and Databricks. Use specific examples of projects where you've developed data pipelines or worked with APIs and SFTP.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your skills align with the responsibilities outlined in the job description, especially your coding abilities and experience with automation in finance.
Showcase Technical Skills: Clearly list your technical skills related to the job, such as proficiency in Python, SQL, and knowledge of AWS services. Provide examples of how you've applied these skills in previous roles to solve problems or improve processes.
Highlight Collaboration Experience: Since the role involves working closely with various teams, emphasise your experience in collaborative environments. Share instances where you successfully communicated technical concepts to non-technical stakeholders or worked in cross-functional teams.
How to prepare for a job interview at Flutter
✨Showcase Your Technical Skills
Be prepared to discuss your hands-on experience with Databricks, Apache Spark, and AWS services. Highlight specific projects where you've developed data pipelines or worked with cloud-based solutions, as this will demonstrate your technical expertise.
✨Understand the Business Context
Familiarise yourself with Flutter's business model and how the finance automation strategy fits into their overall goals. Being able to articulate how your role as a Senior Cloud Data Engineer contributes to the company's success will impress the interviewers.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Think about challenges you've faced in previous roles, particularly related to data integration and security, and be ready to explain how you overcame them.
✨Communicate Clearly with Stakeholders
Since the role involves collaboration with both technical and non-technical teams, practice explaining complex technical concepts in simple terms. This will show your ability to bridge the gap between different stakeholders effectively.
