Senior Data Engineer

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

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