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.
What you’ll be doing
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.
Why Join us
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.
What we’re looking for
- 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
Optional Skills
- 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 within Fintech, Financial Services, Payments or Retail Banking
Benefits
- 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 shopping 30 days' holiday, with bank holidays on top
- A range of wellbeing initiatives and generous parental leave policies
Company overview
At Lloyds Banking Group, we're driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses and communities. With us you'll have a key role to play in shaping the financial services of the future, whilst the scale and reach of our Group means you'll have many opportunities to learn, grow and develop. We keep your data safe. So, we'll only ever ask you to provide confidential or sensitive information once you have formally been invited along to an interview or accepted a verbal offer to join us which is when we run our background checks. We'll always explain what we need and why, with any request coming from a trusted Lloyds Banking Group person. We're focused on creating a values‑led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together we’re building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference. With 320 years under our belt, we're used to change, and today is no different. Join us and help drive this change, shaping the future of finance whilst working at pace to deliver for our customers. Here, you'll do the best work of your career. Your impact will be amplified by our scale as you learn and develop, gaining skills for the future.
Flexible Working Options
For more Flexible Working Options please use the free text search, e.g. job sharing, variable hours, to identify relevant matches.
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Senior Data Engineer in City of Westminster employer: Lloyds Bank plc
Lloyds Banking Group is an exceptional employer, offering a dynamic work environment in Cardiff that fosters professional growth and collaboration. With a competitive salary package, generous benefits including a robust pension scheme and flexible working options, employees are empowered to thrive both personally and professionally. The company prioritises inclusivity and well-being, ensuring that all team members can achieve their full potential while making a meaningful impact in the SME banking sector.
