Senior Analytic Engineer

Harnham; Greater London; Hybrid; GBP 85,000 - 105,000; Full time

Benefits offered by this job

Annual discretionary bonus

Comprehensive benefits package

Hybrid working model

Career progression opportunities

Job summary

Harnham is seeking a Senior Data Engineer in London with a strong track record in data platforms and cloud migrations. You will design, build and optimise scalable data pipelines while partnering with stakeholders to translate data needs into robust solutions.

You will work with Snowflake, dbt and Python in a hybrid environment, mentoring peers and helping shape the data architecture and strategy across the business.

Qualifications

• Proven experience as a Data Engineer or Analytics Engineer.
• Advanced SQL and building complex data pipelines.
• Strong Snowflake experience including performance tuning.
• Experience with dbt in modern data environments.
• Knowledge of data warehousing concepts and best practices.
• Experience with cloud-based data platforms.
• Exposure to Python for data ingestion or automation.
• Familiarity with CI/CD practices and Azure DevOps.

Responsibilities

• Design scalable, automated data pipelines.
• Support migration of SQL Server to Snowflake.
• Build and maintain cloud-based data infrastructure.
• Gather data requirements from stakeholders.
• Enhance data models, schemas, and performance.
• Monitor production data pipelines.
• Contribute to architectural decisions and best practices.
• Support CI/CD, testing, deployment and monitoring.
• Mentor teammates and promote knowledge sharing.
• Explore AI and automation opportunities across the organisation.

Skills

SQL

Snowflake

dbt

Python

Azure DevOps

Git

CI/CD

Stakeholder management

Communication

Tools

Snowflake

dbt

Azure DevOps

Git

Job description

Senior Data Engineer

London (Hybrid, 2 days in office)

UP to £105,000 + Bonus + Benefits

Overview

This is an excellent opportunity for a Senior Data Engineer to join a well-established financial services organisation undergoing a major modernisation of its data platform. You will play a key role in shaping data architecture, driving cloud migration initiatives, and influencing how data is used across the business. The role offers significant ownership, exposure to senior stakeholders, and a clear pathway towards more architectural responsibilities.

The Company

They are a highly respected organisation operating within a regulated environment, with a strong focus on innovation, operational excellence, and data-driven decision making. As part of an ongoing transformation programme, they are investing heavily in their cloud data platform and analytical capabilities. The business fosters a collaborative and supportive culture where technical expertise is valued, ideas are welcomed, and employees are encouraged to develop their skills. You will work closely with business experts, technology leaders, and data professionals to deliver impactful solutions.

The Role

As a Senior Data Engineer, you will be responsible for designing, building, and optimising modern data solutions while supporting a large-scale cloud migration programme.

• Designing and implementing scalable, automated data pipelines
• Supporting the migration of a SQL Server environment into Snowflake
• Building and maintaining cloud-based data infrastructure
• Working with business stakeholders to gather and translate data requirements
• Enhancing data models, schema design, and platform performance
• Maintaining and monitoring production data pipelines
• Contributing to architectural decisions and best practice across the data function
• Supporting CI/CD processes, testing, deployment, and monitoring
• Mentoring colleagues and promoting knowledge sharing within the team
• Exploring opportunities to leverage AI and automation across the organisation

Your Skills & Experience

• Strong commercial experience as a Data Engineer or Analytics Engineer
• Advanced SQL skills and experience developing complex data pipelines
• Strong Snowflake experience, including optimisation and performance tuning
• Experience working with dbt in modern data environments
• Understanding of data warehousing concepts and best practices
• Experience working with cloud-based data platforms
• Exposure to Python for data ingestion or automation purposes
• Familiarity with Azure DevOps, Git, and CI/CD practices
• Strong stakeholder management and requirements gathering skills
• Ability to communicate effectively with both technical and non-technical audiences

Desirable:

• Experience within Financial Services or another regulated environment
• Exposure to Power BI and semantic layer design
• An interest in AI, automation, and emerging data technologies

What They Offer

• Salary of £85,000 - £105,000
• Annual discretionary bonus
• Comprehensive benefits package
• Hybrid working model with flexibility around office days
• Opportunity to work alongside experienced data leaders and architects
• Exposure to enterprise-scale cloud transformation projects
• Clear progression towards technical leadership and architecture-focused responsibilities
• Collaborative and supportive working environment