At a Glance
- Tasks: Build data infrastructure and analytics pipelines to combat financial crime during customer onboarding.
- Company: Join a forward-thinking company dedicated to safe growth and innovation.
- Benefits: Enjoy RSUs, generous parental leave, self-development budget, and paid sabbaticals.
- Other info: Collaborative environment with opportunities for personal and professional growth.
- Why this job: Make a real difference in preventing financial crime while working with cutting-edge tools.
- Qualifications: Experience in data engineering and a passion for analytics and compliance.
The predicted salary is between 60000 - 80000 € per year.
As a Data Engineer in our KYC & Onboarding area, you will own and build the data infrastructure, analytics pipelines and modelling frameworks that detect, prevent and monitor financial crime through customer onboarding. You'll partner closely with product, compliance, analytics, and operations teams to drive data‑led insights and proactive controls that enable safe growth.
Key Responsibilities
- Lead data engineering pipeline related to the onboarding / KYC / FinCrime domain; establish best practices around data modelling, testing, monitoring, and deployment.
- Define and own the analytics infrastructure roadmap for the Global KYC & Onboarding squad, from data source ingestion through to analytics delivery and dashboard creation.
- Build and maintain core datasets focused on KYC onboarding events, customer risk scores, alert triggers, and case outcomes.
- Evangelise and lead adoption of modern tooling (e.g., dbt, Airflow, Snowflake, Python, Looker/Superset) to improve reliability, speed, and trust in analytics.
- Drive implementation of best practices in data‑pipeline instrumentation, monitoring, error‑handling, and data‑quality in a high‑stakes regulatory environment.
- Together with the Analytics and Product team, translate complex data into clear, actionable narratives for key stakeholders – enabling informed decision‑making around customer acceptance or decline, risk tiering, and remediation prioritization.
- Partner with cross‑functional teams (compliance, risk, product, operations) to identify new data sources, define tagging strategies, design KPIs (e.g., average time to onboard, false‑positive rate), and deliver measurable business impact.
Benefits
- RSUs in a growing company
- An annual self‑development budget
- Statutory maternity leave, plus 18 fully paid weeks of parental leave for birth or adoption
- Paternity leave for 18 weeks at full pay
- Three fully paid “me days” per year to help you manage life
- Relocation and visa expenses covered
- A paid 6‑week sabbatical leave after four years
Data Engineer in London employer: Dangote Industries Limited
As a Data Engineer in our KYC & Onboarding team, you will thrive in a dynamic work culture that prioritises innovation and collaboration. We offer exceptional benefits including RSUs, generous parental leave, and a commitment to your professional growth with an annual self-development budget. Our supportive environment encourages meaningful contributions to the fight against financial crime while providing unique advantages such as relocation support and a paid sabbatical after four years.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working in KYC and data engineering. 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 data projects, especially those using tools like Python, dbt, or Snowflake. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and understanding of KYC processes. Be ready to discuss how you've tackled data challenges in the past and how you can contribute to their team.
✨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 seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the Data Engineer role. Highlight your experience with data pipelines, analytics tools, and any relevant projects that showcase your skills in KYC and financial crime prevention.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how your background aligns with our mission at StudySmarter. Don’t forget to mention specific tools like dbt or Airflow if you’ve used them!
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled complex data challenges in the past. We love seeing candidates who can turn data into actionable insights, especially in high-stakes environments like KYC and compliance.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come in through our own channels!
How to prepare for a job interview at Dangote Industries Limited
✨Know Your Data Tools
Familiarise yourself with the tools mentioned in the job description, like dbt, Airflow, and Snowflake. Be ready to discuss how you've used these tools in past projects or how you would apply them in this role.
✨Understand KYC & FinCrime
Brush up on your knowledge of KYC processes and financial crime prevention. Being able to speak confidently about these topics will show that you're not just a data engineer, but someone who understands the bigger picture.
✨Prepare for Technical Questions
Expect technical questions related to data modelling, pipeline creation, and analytics delivery. Practice explaining your thought process clearly and concisely, as communication is key when working with cross-functional teams.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss specific challenges you've faced in previous roles and how you overcame them. Highlight your ability to drive data-led insights and how you can contribute to informed decision-making in this new position.
