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Arbuthnot Latham

Senior Data Engineer

London
Posted about 20 hours ago
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Arbuthnot Latham

Arbuthnot Latham has been associated with banking since 1833. We combine private and commercial banking, wealth planning and investment management. We believe in traditional relationship and service-led banking powered by modern technology.

Job purpose

To develop and maintain complex data systems that support the Bank's operations and reporting needs, ensuring they meet all essential data requirements, following strong engineering and automation best practices and collaborating with the Technical Lead for Data Engineering to develop innovative solutions that address business needs.

As a Senior Data Engineer this person will also play a key role in the development of less experienced members of the team day to day.

To place the interests of customers at the centre of all activities, act in a way that is consistent with achieving good outcomes for consumers; and to comply with the FCA and PRA's Conduct Rules.

Key Responsibilities:

  • The development of data ingest, transformation, analytics, and data publishing pipelines, facilitating complex data transformations to meet business requirements, ensuring optimal performance and efficiency of the data platform.
  • Support for the live platform day to day, resolving issues and meeting business requests as they arise within the team’s SLAs.
  • The enablement and promotion of Data Engineering best practices and DevOps standards, ensuring good code quality and continuous compliance with all relevant standards.
  • Providing mentorship to junior engineers, helping them enhance their skills and knowledge. Promoting a collaborative environment to deliver and integrate end to end data solutions.
  • Identifying and addressing technical debt efficiently, continuously improving data processes and workflows for enhanced efficiency.
  • Working collaboratively with business stakeholders and operational teams to resolve issues and minimise the defect backlog.
  • Supporting estimation processes to aid in planning and portfolio management.
  • Keeping abreast of industry technical best practices and new trends, ensuring innovative development of systems to meet organisational immediate and future needs.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

Knowledge/Experience/Skills:

  • Strong communicator with both technical and non-technical communities
  • Experience of mentoring less-experienced developers
  • Significant hands-on experience with the Azure Data Stack, critically ADF and Synapse (experience with Microsoft Fabric is a plus)
  • Highly developed python and data pipeline development knowledge, must include substantial PySpark experience
  • Demonstrable DevOps and DataOps experience with an understanding of best practices for engineering, test and ongoing service delivery
  • An understanding of Infrastructure as Code concepts (Demonstrable Terraform experience a plus)
  • Demonstrable experience of Data Pipeline testing, including automated testing, data validation and code assurance
  • Demonstrable experience of working within Agile Delivery projects
  • An understanding of data formats for ingest, transformation and analytics, data security, access control and authorisation, GDPR, data privacy, and information security

Desirable:

  • Financial services experience
  • Awareness of data models in a Medalion Architecture
  • Experience building Semantic, Metric or Analytic models
  • Experience of building Machine Learning models
  • Any experience in MLOps or operationalising Machine Learning
  • Knowledge of Data Quality Frameworks in Python

Qualifications:

  • Industry focused degree or equivalent working experience
  • Azure certifications are desirable

Life, Work and Benefits

At Arbuthnot Latham, 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 your innovative ideas and provides the stability and support for your personal and professional growth. Our human-scale ethos means that everyone is recognised as an individual, not just a number, creating a workplace where you truly belong and thrive.

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As a service led, relationship driven bank, in-person collaboration and wellbeing are important to us and drives our inclusive culture. With this in mind we offer one day a week working from home.

Benefits

  • Competitive holiday allowance with the ability to buy / sell / rollover up to five days per year
  • Pension via market leading provider
  • Private Healthcare cover
  • 4x Life Assurance
  • Discretionary Bonus
  • Access to a suite of flexible benefits including Cycle to Work Scheme, Gym Scheme, Health Assessment, Season Ticket / Travel loans and Dental insurance as well as other discounts / vouchers

Data Privacy and Reasonable adjustments

We take keeping your data security seriously. For more detail on how we may keep your data please refer to our Privacy Notice https://careers.arbuthnotlatham.co.uk/files/RecruitmentPrivacyNotice.pdf

Reasonable adjustments: Please let us know of any adjustments or arrangements that you may need to help you apply to this role or that will help you during the recruitment process. If you wish to discuss any particular requirements or concerns you have because of a disability or medical condition please contact us at recruitment@arbuthnot.co.uk. Information you provide about any disability or medical condition will remain confidential unless it is necessary to disclose it to other members of staff or outside agencies to ensure the health and safety of yourself and others, or to implement the adjustments you require. In these circumstances we will first discuss with you how and to whom the information may be disclosed.

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Skills

Azure Data Factory
Azure Synapse
Python
PySpark
DevOps
DataOps
Terraform
Agile Delivery
Data Pipeline Testing
Data Modeling
Medallion Architecture
MLOps
Machine Learning
GDPR
Data Security
Mentoring

Location

London, England, United Kingdom

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