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For Companies 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 globally.
- Benefits: Competitive salary, hybrid work model, and opportunities for architectural influence.
- Why this job: Make a real impact by owning critical data models and workflows.
- Qualifications: Strong experience in data platforms, coding skills in Python, Java, or Scala.
- Other info: Dynamic role with significant growth potential in a fast-paced environment.
The predicted salary is between 80000 - 95000 £ per year.
Overview
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.
Responsibilities
- Play a key role in designing and building this platform from the ground up, owning data models, pipelines, orchestration, and submission workflows.
- Work closely with the core Data Engineering platform team while retaining clear ownership of the regulatory reporting layer.
- Focus on engineering rather than BI, handling both batch and real-time data, and integrating with microservices.
- Help transition the platform towards event-driven architecture; ensure accuracy and reliability as outputs are submitted to regulators.
- Seek ownership and architectural influence as the platform grows 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 pierre.rodriguez@wedotech.uk
Staff Data Engineer employer: Wedo Technology Solutions Ltd.
Contact Detail:
Wedo Technology Solutions Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Data Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the fintech space, especially those working in data engineering. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects. Whether it's a GitHub repo or a personal website, having tangible examples of your work can really impress potential employers.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and data architecture knowledge. Practice common data engineering problems and be ready to discuss your thought process during interviews.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Staff Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your data engineering experience, especially with cloud data warehouses and orchestration tools. We want to see how you can contribute to building our new data platform!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about this role and how your background aligns with our needs. We love seeing passion and a clear understanding of the challenges we face in regulatory reporting.
Showcase Your Technical Skills: Don’t hold back on showcasing your coding abilities and experience with data platforms. Mention specific projects where you've designed and built data architectures or worked with batch and real-time data. We’re keen to see your hands-on experience!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss any important updates. Let’s get your journey started!
How to prepare for a job interview at Wedo Technology Solutions Ltd.
✨Know Your Data Engineering Stuff
Make sure you brush up on your data engineering skills, especially around building data platforms and architectures. Be ready to discuss your hands-on experience with cloud data warehouses like Snowflake or Redshift, and how you've tackled challenges in designing data models and pipelines.
✨Showcase Your Coding Skills
Since coding is a big part of this role, be prepared to demonstrate your proficiency in Python, Java, or Scala. You might even want to practice some coding challenges beforehand, so you can confidently showcase your abilities during the interview.
✨Understand Regulatory Reporting
Familiarise yourself with the complexities of regulatory reporting across different countries. Be ready to discuss how you would approach building a data platform that meets various reporting rules and formats, as this will show your understanding of the role's impact.
✨Talk About Event-Driven Architecture
Since the company is transitioning towards event-driven architecture, it’s crucial to understand this concept. Prepare to discuss your experience with microservices and how you would integrate them into a data platform, highlighting any relevant projects you've worked on.
