Senior Cloud Data Engineer, Fix Term Contract 24 Months
Senior Cloud Data Engineer, Fix Term Contract 24 Months

Senior Cloud Data Engineer, Fix Term Contract 24 Months

City of Westminster Full-Time 48000 - 72000 £ / year (est.) No home office possible
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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.
  • Benefits: Enjoy uncapped holiday, private healthcare, hybrid working, and a £1,000 learning fund.
  • Why this job: Be part of a dynamic team driving automation in finance with cutting-edge technology.
  • Qualifications: Experience with AWS, Databricks, Python, and data integration required.
  • Other info: Open to applicants in Leeds, Dublin, London, Cluj, and Porto; no visa sponsorship available.

The predicted salary is between 48000 - 72000 £ per year.

Overview

This role 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. As a Senior Cloud Data Engineer, you will design, build and maintain robust data pipelines and infrastructure primarily using AWS and Databricks. This role requires a blend of cloud engineering and data engineering to support automation initiatives across Flutter\’s global finance organisation. You will work with stakeholders across finance, technology, and security to ensure data flows securely and efficiently from external providers into our financial platforms.

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.
  • 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).
  • Experience working in a collaborative development environment using Git and infrastructure-as-code tools, specifically CDK for Terraform (CDKtf) and AWS CDK with TypeScript.
  • 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)

Role Details

  • Senior Cloud Data Engineer, Fixed Term Contract 24 Months
  • Senior Data Engineer
  • Senior Cloud Data Engineer
  • 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.

Benefits

  • 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 brands including FanDuel, Sky Betting & Gaming, Sportsbet, PokerStars, Paddy Power, Sisal, tombola, Betfair, MaxBet, Junglee Games and Adjarabet. We are committed to inclusivity and encourage applicants from all backgrounds. If you need adjustments to make this role work for you, please let us know.

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Senior Cloud Data Engineer, Fix Term Contract 24 Months employer: Flutter entertainment

At Flutter, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Senior Cloud Data Engineer, you will benefit from a generous uncapped holiday allowance, a robust bonus scheme, and a £1,000 annual self-development fund, all while working in a hybrid environment that promotes work-life balance. With opportunities for professional growth and a commitment to inclusivity, Flutter is the ideal place for those seeking meaningful and rewarding employment in the tech and finance sectors.
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Contact Detail:

Flutter entertainment Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Cloud Data Engineer, Fix Term Contract 24 Months

✨Tip Number 1

Familiarise yourself with AWS Transfer Family and Databricks, as these are key tools for the role. Consider building a small project that integrates data from an API or SFTP using these technologies to showcase your hands-on experience.

✨Tip Number 2

Network with professionals in the cloud data engineering field, especially those who have experience with financial systems. Engaging in relevant online communities or attending meetups can provide insights and potentially lead to referrals.

✨Tip Number 3

Brush up on your Python skills, particularly in data transformation and automation. You might want to contribute to open-source projects or create your own scripts to demonstrate your proficiency in real-world scenarios.

✨Tip Number 4

Prepare to discuss your experience with CI/CD pipelines and infrastructure-as-code tools like Terraform. Having specific examples of how you've implemented these practices in previous roles will help you stand out during interviews.

We think you need these skills to ace Senior Cloud Data Engineer, Fix Term Contract 24 Months

AWS Transfer Family
Databricks
Apache Spark
Delta Lake
ETL/ELT workflows
Python
SQL
AWS S3
AWS IAM
AWS VPC networking
Data security practices
Git
Infrastructure as Code (IaC)
CDK for Terraform (CDKtf)
AWS CDK with TypeScript
Data pipeline documentation
Collaboration with stakeholders
Job orchestration tools (e.g., Airflow, AWS Step Functions)
Monitoring and observability tools (e.g., CloudWatch, Grafana)

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience with AWS, Databricks, and data pipeline development. Use specific examples that demonstrate your skills in cloud engineering and data management.

Craft a Compelling Cover Letter: In your cover letter, explain why you are interested in the Senior Cloud Data Engineer role at Flutter. Mention your experience with ETL/ELT workflows and how you can contribute to their financial systems.

Showcase Technical Skills: Clearly outline your proficiency in Python, SQL, and any relevant tools like Apache Spark and Terraform. Provide examples of projects where you've successfully implemented these technologies.

Highlight Collaboration Experience: Since this role involves working with various stakeholders, emphasise your experience in collaborative environments. Mention any specific instances where you translated business requirements into technical solutions.

How to prepare for a job interview at Flutter entertainment

✨Showcase Your Technical Skills

Be prepared to discuss your hands-on experience with AWS services, Databricks, and Apache Spark. Highlight specific projects where you've designed and maintained data pipelines, and be ready to explain the challenges you faced and how you overcame them.

✨Understand the Business Context

Familiarise yourself with Flutter's financial systems and how data integration plays a role in their operations. Being able to articulate how your work as a Senior Cloud Data Engineer can directly impact the business will impress your interviewers.

✨Demonstrate Collaboration Skills

Since this role involves working with various stakeholders, prepare examples of how you've successfully collaborated with finance, technology, and security teams in the past. Emphasise your ability to communicate technical concepts to non-technical audiences.

✨Prepare for Problem-Solving Questions

Expect to face scenario-based questions that assess your problem-solving abilities. Practice articulating your thought process when designing ETL/ELT workflows or troubleshooting data pipeline issues, showcasing your analytical skills and attention to detail.

Senior Cloud Data Engineer, Fix Term Contract 24 Months
Flutter entertainment

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