Find a job 
Featured Companies 
Featured Universities 
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 professional growth.
- 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.
- Other info: Dynamic team environment with significant architectural influence and career advancement.
The information below covers the role requirements, expected candidate experience, and accompanying qualifications.
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 in London employer: WeDoTech
Contact Detail:
WeDoTech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the fintech space, especially those working with data platforms. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those involving data platforms and cloud warehouses. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Be ready to discuss your experience with tools like Snowflake, Airflow, and your coding prowess in Python or Java. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Staff Data Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the specific skills and experiences mentioned in the job description. Highlight your experience with data platforms, cloud data warehouses, and any relevant tools like Snowflake or Airflow. We want to see how you fit into our vision!
Showcase Your Projects: Include examples of projects where you've designed and built data architectures or platforms. If you've worked on regulatory reporting or similar challenges, let us know! This helps us understand your hands-on experience and problem-solving skills.
Be Clear and Concise: When writing your application, keep it straightforward. Use bullet points for key achievements and avoid jargon unless it's relevant. We appreciate clarity and want to quickly grasp your qualifications and fit for the role.
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 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 hands-on experience with cloud data warehouses like Snowflake, Redshift, or Synapse. We recommend preparing specific examples of projects where you've designed and built these systems.
✨Showcase Your Coding Skills
Since strong coding ability in Python, Java, or Scala is crucial for this role, be prepared to demonstrate your skills. We suggest practising coding challenges or even discussing past projects where you’ve used these languages to build data infrastructure from scratch.
✨Understand Data Orchestration Tools
Familiarise yourself with data orchestration tools like Airflow or Prefect. During the interview, be ready to explain how you've used these tools in previous roles to manage data pipelines and workflows effectively. We find that real-world examples resonate well with interviewers.
✨Prepare for Complex Scenarios
Given the complexity of regulatory reporting across multiple countries, think about how you would approach designing a scalable data platform. We suggest preparing to discuss how you would handle different reporting rules and formats, as well as your strategies for ensuring accuracy and reliability in submissions.
