Senior Data Engineer

Senior Data Engineer

End Date:
Friday 02 October 2026 | Salary Range: £84,051 - £93,390

Flexible Working Options:
Hybrid Working

SALARY: £76,760 - £95,950

LOCATION:

London

HOURS:

Full-Time

WORKING PATTERN:
Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at one of our office sites.

Colleagues with disabilities can be supported with workplace adjustments including hybrid working expectations in line with our Flexibility Works policy.

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.

If you think all banks are the same, you’re wrong. We’re a pioneering, fast-changing business that’s shaping finance as a force for good. If you’re after a role where you can have an impact and do the best work of your career, you’ve just found it.

• At least 5 years’ experience as a Data Engineer working with real-time and batch data in production environments
• Strong experience with streaming technologies such as Kafka, Pub/Sub or Kinesis
• Solid understanding of data warehousing principles including relational modelling, query optimisation and administration
• Strong programming experience with Python, Go and/or SQL
• Experience using dbt for data modelling and transformation
• Experience working with Apache Airflow or similar orchestration tooling
• Proven experience designing and building production systems on GCP and/or AWS
• Strong understanding of event-driven architectures and distributed systems
• Experience deploying and supporting batch and real-time machine learning workloads
• Experience working with distributed processing technologies such as Spark or Apache Beam
• Strong understanding of data quality principles and engineering best practices
• Experience optimising database performance, troubleshooting issues and maintaining production data systems
• Ability to learn new technologies quickly and apply them pragmatically in a fast-moving environment

• Experience developing or supporting machine learning solutions
• Experience with Terraform and Infrastructure as Code
• Experience with Kubernetes and containerised environments
• Experience working with LLMs and agentic workflows
• Experience mentoring or supporting other engineers
• Strong understanding of large-scale distributed architecture patterns
• Knowledge of security and information security considerations within data engineering
• Experience with in Fintech, Financial Services, Payments or Retail Banking

• We offer reasonable workplace adjustments for colleagues with disabilities, including flexibility in office attendance, location and working patterns.
• We provide reasonable adjustments throughout the recruitment process to reduce or remove barriers - just let us know what you need.
• We also offer a wide-ranging benefits package, which includes…
• A generous pension contribution of up to 15%
• An annual bonus award, subject to Group performance
• Share schemes including free shares
• Benefits you can adapt to your lifestyle, such as discounted…