Senior Data Engineer

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.

• 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 Dev Ops 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.

• 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 Dev Ops and Data Ops 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
• 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 ope rationalising Machine Learning
• Knowledge of Data Quality Frameworks in Python

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

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.

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