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Arbuthnot Latham

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Senior Data Engineer

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Summary

Senior Data Engineer at Arbuthnot Latham, a London-based private and commercial bank. The role builds and maintains Azure-based data pipelines (ADF, Synapse, Python/PySpark), supports the live platform against SLAs, promotes DevOps/DataOps best practices, and mentors junior engineers. Office-based in London with one work-from-home day per week.

Salary: £36,000 - 76,000 per year

Requirements

  • Significant hands-on experience with the Azure Data Stack, especially ADF and Synapse; experience with Microsoft Fabric is a plus
  • Highly developed Python and data pipeline development knowledge, including substantial PySpark experience
  • Demonstrable DevOps and DataOps experience, with an understanding of best practices for engineering, testing, and ongoing service delivery
  • Understanding of Infrastructure as Code concepts; demonstrable Terraform experience is a plus
  • Demonstrable experience of data pipeline testing, including automated testing, data validation, and code assurance
  • Demonstrable experience of working within Agile delivery projects
  • Understanding of data formats for ingest, transformation, and analytics, data security, access control and authorisation, GDPR, data privacy, and information security
  • Strong communicator with both technical and non-technical communities
  • Experience of mentoring less-experienced developers
  • Industry-focused degree or equivalent working experience
  • Azure certifications are desirable

Responsibilities

  • Develop and maintain complex data systems that support our operations and reporting needs
  • Build data ingest, transformation, analytics, and data publishing pipelines to meet business requirements
  • Support the live platform day to day, resolving issues and handling business requests within our SLAs
  • Enable and promote Data Engineering best practices and DevOps standards, ensuring good code quality and compliance with relevant standards
  • Provide mentorship to junior engineers and help them enhance their skills and knowledge
  • Promote a collaborative environment to deliver and integrate end-to-end data solutions
  • Identify and address technical debt, continuously improving data processes and workflows
  • Work collaboratively with business stakeholders and operational teams to resolve issues and minimise the defect backlog
  • Support estimation processes to aid in planning and portfolio management
  • Keep abreast of industry technical best practices and new trends to help meet current and future organisational needs
  • Manage risks inherent to the role by observing internal policies and procedures

Technologies

  • Azure
  • DevOps
  • Fabric
  • Support
  • LESS
  • Python
  • PySpark
  • Security
  • Terraform
  • Cloud
  • Machine Learning
  • MLOps

More

We are Arbuthnot Latham, a bank associated with banking since 1833, combining private and commercial banking, wealth planning, and investment management. We believe in traditional relationship and service-led banking powered by modern technology. We seek proactive individuals who embrace high standards and bring the energy needed to drive success. In return, you can thrive in a dynamic environment that values innovative ideas and provides stability and support for personal and professional growth. Our human-scale ethos means everyone is recognised as an individual, creating a workplace where you truly belong and thrive. As a service-led, relationship-driven bank, in-person collaboration and wellbeing are important to us and help drive our inclusive culture. We offer one day a week working from home, a competitive holiday allowance with the ability to buy, sell, or rollover up to five days per year, pension via a market-leading provider, private healthcare cover, 4x life assurance, discretionary bonus, and access to flexible benefits including Cycle to Work Scheme, Gym Scheme, Health Assessment, Season Ticket/Travel loans, and Dental insurance. The role is based in London.

last updated 36 week of 2026

Skills

See also

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