Senior Data Engineer

• We’re looking for a Senior Data Engineer to join our Data Platform team and help build the foundations that power Curve’s data-driven culture
• Working across both real-time and batch data platforms, you’ll design, build and operate scalable data infrastructure that collects, processes and serves data from a wide range of internal and external sources
• You’ll play a key role in ensuring the reliability, performance and availability of our data warehouse and data pipelines, enabling cutting-edge analytics, machine learning, real-time decisioning and operational reporting
• Collaborating closely with engineers, data scientists, machine learning researchers and business stakeholders, you’ll help shape the future of our data platform while promoting best practice in data engineering, architecture and quality

Benefits

• A generous holiday allowance: You’ll be eligible for a minimum of 22 days holiday (excluding bank holidays), rising to 30 days based on length of service and grade.
• A flexible way of working: Whether you want flexibility over your location or when you log on, together we can create an approach that works for you and for the business.
• Family leave: Up to 63 weeks of maternity or adoption leave. Statutory maternity or adoption pay is available for 39 weeks, and 20 weeks will be enhanced to the equivalent of full pay. Partners can have six weeks of fully paid paternity leave.
• Flex cash: This is 4% of your basic salary and can be used to spend on the benefits of your choice, or you can choose to take it as a cash top up in your monthly salary.
• Health insurance: Our company funded Private Medical Benefit provides all colleagues with access to good quality medical care, including accommodation, nursing care and specialist advice.
• Colleague Offers: Get discounts on everything from electrical items to cinema tickets and weekly food shopping. You can share this benefit with up to ten family members or friends.
• Financial products: Take advantage of our great financial products, some at a discounted rate, including current accounts, home and car insurance and loans.
• Share plans: Participate in Sharematch and receive matching shares of up to £45 a month from the company, and you can choose to participate in Sharesave, our combined savings and share option plan.
• Pension: We offer a generous pension plan, with all joiners being automatically enrolled in our ‘Your Tomorrow’ scheme. You can decide how much you save and get a say in where your contributions are invested.- Experience optimising database performance, troubleshooting issues and maintaining production data systems
• Proven experience designing and building production systems on GCP and/or AWS
• Experience using dbt for data modelling and transformation
• Experience deploying and supporting batch and real-time machine learning workloads
• Experience working with Apache Airflow or similar orchestration tooling
• At least 5 years’ experience as a Data Engineer working with real-time and batch data in production environments
• Experience working with distributed processing technologies such as Spark or Apache Beam
• Strong understanding of event-driven architectures and distributed systems
• Strong programming experience with Python, Go and/or SQL
• Strong understanding of data quality principles and engineering best practices
• Ability to learn new technologies quickly and apply them pragmatically in a fast-moving environment
• Solid understanding of data warehousing principles including relational modelling, query optimisation and administration
• Strong experience with streaming technologies such as Kafka, Pub/Sub or Kinesis
• Experience with Terraform and Infrastructure as Code
• Experience mentoring or supporting other engineers
• Experience developing or supporting machine learning solutions
• Experience with Kubernetes and containerised environments
• Experience working with LLMs and agentic workflows
• Strong understanding of large-scale distributed architecture patterns
• Experience within Fintech, Financial Services, Payments or Retail Banking
• Knowledge of security and information security considerations within data engineering- End Date - Friday 02 October 2026