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Senior Data Engineer
Arbuthnot Latham —London
- Azure
- DevOps
- Machine learning
Python Developers
CGI —London
- Full-time
- DevOps
- AWS
- Mentoring
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Senior Data Engineer

Arbuthnot Latham -
London

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Job details

Benefits

Cycle to work scheme
Company pension
Private medical insurance

Qualifications

Azure
DevOps
Test automation
Information security
Machine learning
Terraform
Mentoring
Data pipeline
Agile
Financial services
Communication skills
Python

Full job description

Job Description

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.

Risk:

Responsible for managing risks inherent to the role by diligently observing internal policies and procedures.

Key Interfaces:

Technical Lead for Data Engineering
Business System Owner
Head of Data Engineering
Application Specialists and Application Support
Information Security Manager
Data Privacy Manager
Infrastructure Engineers

Person Specification

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

Competencies:

Developing Others
Working Proactively
Creativity and Innovation
Problem Solving and Judgement
Communication and Confidence

About Us

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.

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 [email protected]. 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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