Senior Data Engineer | Azure Data Stack & PySpark Lead

Arbuthnot Latham; United Kingdom; On-site; GBP 70,000 - 90,000; Full time

Benefits offered by this job

Competitive salary

Discretionary bonus

Market leading maternity/paternity policies

Job summary

Arbuthnot Latham is seeking a Senior Data Engineer to develop and maintain data systems that support the Bank's operations and reporting needs. The role involves ensuring compliance with standards while mentoring junior team members.

The successful candidate will play a key role in delivering innovative data solutions, resolve live platform issues, and promote best practices in Data Engineering. This position offers competitive salary and benefits.

Qualifications

• Significant hands-on experience with the Azure Data Stack, especially ADF and Synapse.
• Extensive knowledge in Python and data pipeline development with substantial PySpark experience.
• Demonstrable experience of working within Agile Delivery projects.

Responsibilities

• Develop and maintain complex data systems supporting Bank's operations.
• Mentor junior engineers and promote collaborative environments.
• Identify and address technical debt efficiently to improve data workflows.

Skills

Strong communication skills

Mentoring experience

Experience with Azure Data Stack

Python and data pipeline development

DevOps and DataOps experience

Understanding of Infrastructure as Code

Data Pipeline testing experience

Agile Delivery projects experience

Understanding of data security and GDPR

Data Quality Frameworks in Python

Education

Industry focused degree or equivalent experience

Tools

Azure Data Factory

PySpark

Terraform

Job description

Arbuthnot Latham is seeking a Senior Data Engineer to develop and maintain data systems that support the Bank's operations and reporting needs. The role involves ensuring compliance with standards while mentoring junior team members.

The successful candidate will play a key role in delivering innovative data solutions, resolve live platform issues, and promote best practices in Data Engineering. This position offers competitive salary and benefits.