At a Glance
- Tasks: Design and maintain data infrastructure for fraud detection and analytics.
- Company: Join Xcelirate, a leading tech company with a dynamic culture.
- Benefits: Competitive salary, top-notch workstation, global co-working access, and flexible work hours.
- Other info: Exciting events and gatherings to foster team spirit.
- Why this job: Make a real impact in fraud detection while working with cutting-edge technology.
- Qualifications: 5+ years in data engineering, proficient in Python and SQL.
The predicted salary is between 48000 - 72000 £ per year.
Xcelirate develops technologically-advanced platforms which are accessed by thousands of users every minute! We are proud to offer a workplace where the sharpest developers come together to strategically plan and swiftly execute practices which see us maintain our existing market dominance and attain global expansion. We owe our success to our customers who have seen us grow across a decade, and our talented team who have made that growth possible.
What are we looking for?
- A Data Engineer, experienced in Fraud data:
- Design, develop, and maintain robust data infrastructure to support use cases such as fraud detection but also general data engineering.
- Build scalable, high-performing data pipelines and storage systems for fraud use cases.
- Create the technical foundation that powers such use cases of fraud detection, analytics and reporting.
What will you be doing?
- Develop and Maintain Pipelines: build and maintain efficient, scalable data pipelines for use cases such as fraud detection.
- Support Fraud Analytics: enable analysts and product teams to identify and address emerging fraud patterns through engineered datasets.
- Integrate Detection Models: collaborate with teams to operationalise external fraud detection models and integrate them into the data infrastructure.
- Data Storage Optimisation: design and optimise data storage solutions for analysing fraud signals and managing historical data.
- Feature Engineering: create fraud-specific datasets and features to enhance detection accuracy while supporting business and analytics teams.
- Pipeline Monitoring and Optimisation: monitor fraud data pipelines to ensure system reliability and troubleshoot performance issues.
- Best Practices Documentation: establish and document best practices for fraud-related data engineering.
- Cross-Team Collaboration: partner with data, product, and engineering teams to proactively address fraud trends.
What will you bring along?
- 5+ years of experience as a data engineer with some expertise in fraud detection systems or similar.
- Proficiency in Python and SQL, with knowledge of orchestration tools (e.g., Apache Airflow, DBT).
- Strong knowledge of database design, query optimisation, and ETL/ELT workflows.
- Familiarity with leveraging machine learning models, primarily as a component of the broader data pipeline.
- Understanding of CI/CD processes for data pipelines.
- Hands-on experience with data visualization platforms for trend reporting (e.g., Tableau, Superset, Metabase).
- Familiarity with statistical techniques for fraud trend analysis and reporting.
- Experience with Git and version control in collaborative workflows.
We are always looking for the best candidates, so if you think you would be a good fit even if you don't meet 100% of the requirements, we would love to hear from you!
Benefits
- Gross Annual Compensation: €80,000.
- Top-Notch Workstation: We provide the latest MacBook, branded merchandise, and everything you need for an optimal work environment.
- Global Co-Working Access: Work from a global network of co-working spaces to keep your work-life dynamic and flexible.
- Flexibility: Enjoy full flexibility in work location and hours, supporting a work-life balance tailored to your needs.
- Events and Gatherings: Participate in exciting events throughout the year, including team gatherings, cultural events, and other fun activities.
At Xcelirate, we're committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We pride ourselves in being an equal opportunity workplace.
Data Engineer, Fraud in London employer: Xcelirate
At Xcelirate, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to thrive. As a Data Engineer in London, you'll enjoy the flexibility of remote work, access to top-notch resources, and opportunities for professional growth while collaborating with talented teams on cutting-edge fraud detection technologies. Join us to be part of a forward-thinking company that values innovation and work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer, Fraud in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage on platforms like LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those related to fraud detection. This gives potential employers a tangible sense of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios, particularly around fraud analytics. Practising with a friend or using mock interview tools can help you feel more confident.
✨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, we love hearing from candidates who are genuinely excited about joining our team!
We think you need these skills to ace Data Engineer, Fraud in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer role, especially highlighting your experience with fraud detection systems. We want to see how your skills align with what we're looking for!
Showcase Your Projects:Include specific projects where you've built data pipelines or worked on fraud analytics. This gives us a clear picture of your hands-on experience and how you can contribute to our team.
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate straightforward communication, so make sure your key achievements stand out without unnecessary fluff.
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can't wait to hear from you!
How to prepare for a job interview at Xcelirate
✨Know Your Data Engineering Basics
Make sure you brush up on your data engineering fundamentals, especially around building scalable data pipelines and storage systems. Be ready to discuss your experience with Python, SQL, and orchestration tools like Apache Airflow or DBT.
✨Showcase Your Fraud Detection Experience
Prepare specific examples of how you've designed and maintained data infrastructure for fraud detection. Highlight any projects where you integrated detection models or optimised data storage solutions for analysing fraud signals.
✨Collaborate Like a Pro
Since cross-team collaboration is key, think of instances where you've worked with product and analytics teams. Be ready to explain how you addressed emerging fraud patterns and contributed to team success.
✨Ask Insightful Questions
At the end of the interview, don’t shy away from asking questions about their current fraud detection challenges or the technologies they use. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you.
