At a Glance
- Tasks: Design and maintain data infrastructure for fraud detection and analytics.
- Company: Join Xcelirate, a leader in tech innovation with a dynamic team.
- Benefits: Competitive salary, top-notch workstation, global co-working access, and flexible hours.
- Other info: Collaborative environment with exciting events and career growth opportunities.
- Why this job: Make a real impact in fraud detection while working with cutting-edge technology.
- Qualifications: 5+ years as a data engineer with expertise in fraud detection systems.
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.
Requirements
- 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 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 a talented team dedicated to innovation in fraud detection. Join us to be part of a company that values your contributions and supports your career development in a vibrant city.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer, Fraud
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at Xcelirate. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
When you get the chance to chat with recruiters or during interviews, don’t hold back! Share specific examples of your work with fraud data and how you've tackled challenges. We want to see your passion and expertise shine through!
✨Tailor Your Approach
Before any interview, do your homework on Xcelirate and the role. Understand their tech stack and be ready to discuss how your experience with Python, SQL, and data pipelines can directly benefit their fraud detection efforts.
✨Follow Up
After an interview, don’t forget to send a thank-you note! It’s a simple way to express your appreciation and reiterate your interest in the position. Plus, it keeps you fresh in their minds as they make their decision.
We think you need these skills to ace Data Engineer, Fraud
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in data engineering and fraud detection. Use keywords from the job description to show we’re on the same page!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for data engineering and how your skills can help us tackle fraud detection challenges.
Showcase Relevant Projects:If you've worked on projects related to fraud detection or data pipelines, don’t hold back! Include them in your application to give us a taste of what you can do.
Apply Through Our Website:We love it when candidates apply directly through our website! It helps us keep track of applications and ensures you get noticed quickly.
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
Since the role focuses on fraud data, prepare specific examples of how you've designed or optimised data infrastructure for fraud detection. Highlight any projects where you’ve integrated detection models or collaborated with teams to tackle fraud patterns.
✨Prepare for Technical Questions
Expect technical questions that test your knowledge of database design, ETL/ELT workflows, and CI/CD processes. Practise explaining complex concepts in simple terms, as this will demonstrate your understanding and communication skills.
✨Emphasise Collaboration Skills
This role requires cross-team collaboration, so be ready to discuss how you've worked with data, product, and engineering teams in the past. Share examples of how you’ve proactively addressed issues or trends in fraud data, showcasing your teamwork abilities.
