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For Companies At a Glance
- Tasks: Design and build innovative data platforms for a high-growth fintech.
- Company: Join WeDo, a dynamic fintech revolutionising payment platforms globally.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Why this job: Make a real impact by shaping data architecture for international regulatory reporting.
- Qualifications: Strong experience in data engineering, cloud data warehouses, and coding skills.
- Other info: Exciting challenges with significant ownership and architectural influence.
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
- Designing and building data platforms and data architectures
- Hands on experience with design and build of cloud data warehouses
- Experience with Snowflake 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
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
How to apply
Interested? Apply for the position or send your CV to pierre.rodriguez@wedotech.uk
Staff Data Engineer employer: WeDo
Contact Detail:
WeDo 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 folks in the fintech space, especially those working with data platforms. A casual chat can lead to opportunities that aren’t even advertised yet.
✨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, let us see what you can do with cloud data warehouses and orchestration tools.
✨Tip Number 3
Prepare for the interview by brushing up on your coding skills in Python, Java, or Scala. We want to see how you tackle real-time data challenges, so practice some coding problems related to data pipelines.
✨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 take the initiative to connect directly with us.
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 cloud data warehouses. We want to see how your skills align with the role, so don’t be shy about showcasing your hands-on experience with tools like Snowflake or Airflow.
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for this Senior Data Engineer role. Share specific examples of projects you've worked on that demonstrate your ability to design and build data architectures from scratch.
Show Off Your Coding Skills: Since strong coding ability in Python, Java, or Scala is key for this role, consider including links to any relevant projects or GitHub repositories. We love seeing practical applications of your skills!
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 out on any important updates!
How to prepare for a job interview at WeDo
✨Know Your Data Engineering Stuff
Make sure you brush up on your data engineering fundamentals. Be ready to discuss your experience with cloud data warehouses like Snowflake, Redshift, or Synapse. They’ll likely ask about your hands-on experience with data orchestration tools like Airflow or Prefect, so have some examples ready.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in building data platforms. Think of a time when you had to design a solution for complex regulatory reporting. Highlight how you approached the problem, the technologies you used, and the impact of your solution.
✨Get Familiar with Their Tech Stack
Research the company’s tech stack and be prepared to discuss how your skills align with their needs. If they’re transitioning towards event-driven architecture, show that you understand the principles behind it and how you can contribute to that transition.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about their current data challenges, the team dynamics, or how they envision the growth of the data platform. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
