At a Glance
- Tasks: Design and build a cutting-edge data platform for international regulatory reporting.
- Company: Join a high-growth fintech revolutionising payment platforms across multiple countries.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Dynamic team environment with significant architectural influence and career advancement.
- Why this job: Take ownership of impactful projects and shape the future of data engineering.
- Qualifications: Strong experience in data platforms, cloud warehouses, and coding in Python, Java, or Scala.
The predicted salary is between 80000 - 95000 £ per year.
Salary: £80,000 to £95,000 base salary
Location: London Paddington Hybrid 3 days a week
The Company: WeDo is working with a high growth fintech operating regulated payment platforms across multiple countries. As the business continues to expand internationally, data engineering has become a core strategic function, with significant investment in scalable, reliable, and automated data platforms.
The Position: This is a Senior Data Engineering role within the Regulatory Reporting function, focused on building a new data platform to support international growth. The team currently delivers regulatory reporting for six countries and is scaling to more than thirty. Each country has different reporting rules, formats, and submission processes, creating a complex and highly impactful engineering challenge.
You will play a key role in designing and building this platform from the ground up, owning data models, pipelines, orchestration, and submission workflows. You will work closely with the core Data Engineering platform team while retaining clear ownership of the regulatory reporting layer. The role is strongly engineering focused rather than BI oriented. You will work with both batch and real time data, integrate with microservices, and help transition the platform towards event driven architecture. Accuracy and reliability are critical, as these outputs are submitted directly to regulators.
This is an excellent opportunity for a senior data engineer looking for ownership, architectural influence, and a platform that will grow significantly in scale and complexity.
Requirements:
- Strong experience designing and building data platforms and data architectures
- Hands on experience with design and build of cloud data warehouses
- Snowflake experience is desirable, though Redshift or Synapse are also suitable
- Experience with data orchestration tools such as Airflow or Prefect
- Strong coding ability in Python, Java, or Scala
- Experience building data infrastructure from scratch
- Comfortable working with both batch and streaming data
- Experience integrating data platforms with microservices and real time systems
Interested? Apply for the position or send your CV to (url removed)
Staff Data Engineer employer: WeDoTech
Join a forward-thinking company that values innovation and collaboration, offering a dynamic work culture in Bristol. As a D365 F&O Solution Architect, you'll have the opportunity to lead impactful projects across Europe, with a strong focus on employee growth and development. Enjoy a competitive salary, flexible hybrid working arrangements, and the chance to shape the future of finance solutions in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Staff Data Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the fintech space or data engineering community. Attend meetups, webinars, or even just grab a coffee with someone who works at WeDo. Personal connections can often lead to job opportunities that aren’t advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your previous projects, especially those related to data platforms and architectures. If you’ve built anything using Snowflake, Airflow, or similar tools, make sure it’s front and centre. This will give you an edge during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills in Python, Java, or Scala. Practice common data engineering problems and be ready to discuss your thought process. We want to see how you tackle challenges, so think aloud during your interview!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining WeDo and being part of our exciting journey in building scalable data platforms.
We think you need these skills to ace Staff Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with data platforms and architectures. We want to see how your skills align with the role, so don’t be shy about showcasing your hands-on experience with cloud data warehouses and orchestration tools.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about building a new data platform and how your background makes you the perfect fit for this role. Let us know what drives you in the world of data engineering.
Showcase Relevant Projects:If you've worked on projects that involved batch and streaming data or integrating with microservices, make sure to mention them! We love seeing real-world examples of your work that demonstrate your coding abilities and architectural influence.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at WeDoTech
✨Know Your Data Platforms
Make sure you brush up on your knowledge of data platforms and architectures. Be ready to discuss your experience with cloud data warehouses like Snowflake, Redshift, or Synapse. Highlight specific projects where you've designed and built these systems.
✨Showcase Your Coding Skills
Prepare to demonstrate your coding abilities in Python, Java, or Scala. You might be asked to solve a problem on the spot, so practice coding challenges related to data engineering. This will show that you're not just familiar with the languages but can also apply them effectively.
✨Understand Regulatory Reporting
Since this role focuses on regulatory reporting, make sure you understand the complexities involved. Familiarise yourself with different reporting rules and formats across countries. Being able to discuss how you would approach these challenges will set you apart.
✨Discuss Event-Driven Architecture
Be prepared to talk about your experience with event-driven architecture and how it applies to data platforms. Share examples of how you've integrated microservices and handled both batch and streaming data. This shows that you’re aligned with the company’s goals for scalability and reliability.
