Senior Data Engineer

Lloyds Bank plc; City Of London; Hybrid; GBP 77,000 - 96,000; Full time

Benefits offered by this job

Pension up to 15%

Annual bonus

Share schemes

Discounted shopping

30 days holiday

Wellbeing & parental leave

Job summary

Lloyds Bank plc is seeking a Senior Data Engineer in London to join the Data Platform team. You will design, build and operate scalable data infrastructure for real-time and batch data, ensuring reliability and performance of data warehouses and pipelines.

You will collaborate with engineers, data scientists and business stakeholders to promote best practices in data engineering, architecture and quality in a hybrid working environment.

Qualifications

• 5+ years of experience as a Data Engineer in real-time and batch data environments.
• Strong experience with streaming technologies: Kafka, Pub/Sub or Kinesis.
• Solid data warehousing knowledge: relational modelling, query optimisation, admin.
• Proficient in Python, Go and/or SQL; experience with dbt.
• Experience with Airflow or similar orchestration tools.
• Proven track record on GCP and/or AWS; event-driven architectures.
• Experience with Spark or Apache Beam and distributed systems.
• Knowledge of data quality best practices and production data systems.

Responsibilities

• Lead design and operation of scalable data infrastructure.
• Work on real-time and batch data platforms for reliable analytics.
• Collaborate with engineers, data scientists and stakeholders to shape data platforms.

Skills

Data engineering

Real-time data

Batch processing

Kafka

Pub/Sub

Kinesis

Python

Go

SQL

dbt

Airflow

GCP

AWS

Spark

Data quality

SQL tuning

Job description

End Date

Friday 02 October 2026

Salary Range

£84,051 - £93,390

We support flexible working - click here for more information on flexible working options

Flexible Working Options

Hybrid Working

JOB TITLE

Senior Data Engineer

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

And it would be great if you had any of the following...

• 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

This is a place for you...

Our ambition is to be the leading UK business for diversity, equity and inclusion, supporting our customers, colleagues and communities. We are committed to creating an environment in which everyone can thrive, learn and develop. We were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and launch a dedicated Working with Cancer initiative.

We offer reasonable workplace adjustments for colleagues with disabilities, including flexibility in office attendance, location and working patterns. As a Disability Confident Leader, we guarantee interviews for a fair and proportionate number of applicants who meet the minimum criteria for the role and have a disability, long-term health or neurodivergent condition, through the Disability Confident Scheme. 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

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.