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- Tasks: Design and build data migration processes while collaborating with engineers across multiple teams.
- Company: Dynamic fintech company focused on innovative payment solutions.
- Benefits: Competitive salary, bonus, hybrid work model, and opportunities for professional growth.
- Why this job: Join a cutting-edge team and make a real impact in the fintech space.
- Qualifications: 5+ years in data engineering, strong SQL skills, and experience with Apache Airflow.
- Other info: Exciting opportunity to work with advanced technologies and develop your career.
The predicted salary is between 80000 - 90000 £ per year.
Location: Hybrid - 1-2 days a week in London
Salary: £80-90k + 10% Bonus
Job Type: Permanent
Sponsorship: Not Available
Role Summary: We are looking for a Senior Data Engineer to support a multi-system, multi-client, company-wide migration. In this role, you will work closely with owners of legacy platforms to understand their data, then design and build the queries and processes required to migrate it into a new environment. As migration work concludes, the role will transition into leveraging Airflow and other tooling to automate operational and financial processes. This position requires a highly collaborative individual, as you will work closely with engineers and stakeholders across multiple teams.
Key Responsibilities:
- Collaborate with engineers across legacy systems to understand available data and its structure.
- Design queries and scripts to extract, transform, and migrate data into new platforms.
- Partner with senior data leadership to define cold-storage solutions for regulatory data retention.
- Work with solution architects to design migration-day data processes for partner onboarding.
- Build and maintain ETL pipelines and workflow automation using Snowflake and Apache Airflow.
- Document processes, learnings, and development work using version control best practices.
- Implement robust data quality checks and reconciliation processes throughout pipelines.
- Collaborate with platform and infrastructure teams on security, access control, and secrets management.
Required Qualifications:
- 5+ years' experience in data engineering, analytics engineering, or backend engineering with strong ownership of data pipelines.
- Proven experience in stakeholder-heavy environments, working cross-functionally.
- Strong communication skills, with the ability to translate technical concepts to non-technical audiences.
- Hands-on experience building and managing production workflows in Apache Airflow.
- Experience delivering production-grade transformations in dbt, including testing and documentation.
- Advanced SQL skills across multiple dialects.
- Strong understanding of data modelling and warehousing concepts (e.g., fact/dimension models, SCDs, incremental loads).
- Experience with Git-based workflows, code reviews, and CI/CD practices.
Preferred Qualifications:
- Experience with Azure cloud services.
- Exposure to streaming or event-driven architectures (e.g., Kafka, Kinesis).
- Experience with infrastructure as code (e.g., Terraform) and containerisation (e.g., Docker, Kubernetes).
- Understanding of data governance, lineage, cataloguing, and security best practices.
- Previous experience working with SQL Server.
- Familiarity with Snowflake and/or PostgreSQL.
- Proactive, self-starter mindset with a strong 'go-getter' attitude.
- Excellent communication skills, able to engage and influence both technical and non-technical stakeholders.
- Strong investigative and problem-solving abilities, with a hands-on approach to uncovering and understanding complex data landscapes.
- Comfortable working across multiple legacy platforms, collaborating closely with engineering teams.
- Ability to design and shape effective data migration strategies through cross-functional collaboration.
Senior Data Engineer (Fintech & Payments) in City of London employer: 83zero Limited
Contact Detail:
83zero Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer (Fintech & Payments) in City of London
✨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 in fintech. Building relationships can lead to job opportunities that aren't even advertised.
✨Show Off Your Skills
Don’t just tell them what you can do; show them! Create a portfolio of your projects, especially those involving data migration or ETL processes. Having tangible examples of your work can really set you apart from the competition.
✨Ace the Interview
Prepare for your interviews by practicing common questions and scenarios related to data engineering. Be ready to discuss your experience with tools like Airflow and Snowflake, and don’t forget to highlight your collaborative spirit!
✨Apply Through Our Website
We’ve got some fantastic roles available, so make sure to apply through our website! It’s the best way to get noticed and ensures your application lands directly in front of the right people.
We think you need these skills to ace Senior Data Engineer (Fintech & Payments) in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Senior Data Engineer. Highlight your experience with data pipelines, SQL skills, and any relevant projects that showcase your ability to work in stakeholder-heavy environments.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of your past experiences, especially those involving collaboration with engineers and stakeholders, to show how you can contribute to our migration projects.
Show Off Your Technical Skills: Don’t hold back on showcasing your technical expertise! Mention your hands-on experience with Apache Airflow, dbt, and any cloud services like Azure. We want to see how you can leverage these tools in our environment.
Apply Through Our Website: We encourage you to apply 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 from us!
How to prepare for a job interview at 83zero Limited
✨Know Your Data Inside Out
Before the interview, brush up on your understanding of data migration processes and the specific tools mentioned in the job description, like Apache Airflow and Snowflake. Be ready to discuss your past experiences with data pipelines and how you've tackled challenges in similar projects.
✨Showcase Your Collaboration Skills
Since this role requires working closely with various teams, prepare examples that highlight your collaborative efforts. Think of times when you successfully partnered with engineers or stakeholders to achieve a common goal, and be ready to share those stories.
✨Communicate Clearly and Confidently
Practice explaining complex technical concepts in simple terms. You might encounter non-technical stakeholders during the interview, so being able to translate your expertise into layman's terms will demonstrate your strong communication skills.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions, especially around SQL and data modelling. Brush up on advanced SQL queries and be prepared to solve problems on the spot. Practising with sample questions can help you feel more confident during these discussions.