Senior Data Engineer

Arbuthnot Latham — United Kingdom · Posted ~9 hours ago

Senior

Skills

Data engineering Data ingestion Data transformation Data systems development Data automation Data quality Data reporting Mentoring Azure Terraform

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Summary ✨ AI‑Generated

Develop and maintain complex data systems supporting operational and reporting needs within a regulated financial environment. You will build data ingestion and transformation capabilities, apply strong engineering and automation practices, collaborate with technical stakeholders, and mentor developing engineers.

Highlights

Senior data engineering role developing complex data systems, improving engineering and automation practices, collaborating with technical leadership, and supporting the growth of less experienced team members.

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. Knowledge/Experience/Skills: Strong communicator with both technical and non-technical communitiesExperience of mentoring less-experienced developersSignificant 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 experienceDemonstrable DevOps and DataOps experience with an understanding of best practices for engineering, test and ongoing service deliveryAn understanding of Infrastructure as Code concepts (Demonstrable Terraform experience a plus)Demonstrable experience of Data Pipeline testing, including automated testing, data validation and code assuranceDemonstrable experience of working within Agile Delivery projectsAn understanding of data formats for ingest, transformation and analytics, data security, access control and authorisation, GDPR, data privacy, and information security Desirable: Financial services experienceAwareness of data models in a Medalion ArchitectureExperience building Semantic, Metric or Analytic modelsExperience of building Machine Learning modelsAny experience in MLOps or operationalising Machine LearningKnowledge of Data Quality Frameworks in Python Qualifications: Industry focused degree or equivalent working experienceAzure 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. 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 yearPension via market leading providerPrivate Healthcare cover4x Life AssuranceDiscretionary BonusAccess 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.