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Asset Alliance Group

Senior Data Engineer

Wolverhampton
Posted about 18 hours ago
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Asset Alliance Group is part of the Arbuthnot Latham Banking Group. We serve the commercial vehicle, bus, coach, and general asset finance sectors with tailored award-winning lending, contract hire, rental and finance packages. We are a full-service finance and leasing business.

Today our group is the UK’s fastest growing commercial vehicle and bus and coach finance and sales company. We have the in-depth knowledge and specialist industry experience to provide an individual finance and asset management solution to all our customers.

This role will have a Hybrid working pattern, based in the Asset Alliance Group offices based in either London or Wolverhampton.

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?

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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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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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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

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Qualifications:

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

Life, Work and Benefits

Arbuthnot Latham is committed to equal-opportunities for all staff and candidates. We embrace inclusion & diversity and understand why they are critical for the success of our business and people.

  • Agile working
  • Competitive salary, pension & holiday allowance
  • Discretionary bonus
  • Market leading maternity/paternity and menopause policies
  • Flexible benefits

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
Machine Learning
MLOps
Data Quality Frameworks
GDPR
Communication

Location

Wolverhampton, England, United Kingdom

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