Senior Data Engineer

Annapurna

London

On-site

GBP 50,000 - 55,000

Full time

14 days+

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Job summary

A fast-moving InsurTech company in London is seeking a Senior Data Engineer to shape the core data strategy. The ideal candidate will design and develop robust data pipelines while working with AI/ML workflows and a fully cloud-based stack (AWS, Snowflake, Python, SQL). Exciting opportunity for an experienced data professional to influence architecture and take ownership of key components.

Qualifications

5+ years of experience in data engineering, ideally in a fast-paced product or platform environment.
Strong experience with AWS cloud services and infrastructure as code.
Proficiency in SQL, Python, and Snowflake.

Responsibilities

Design, build, and maintain robust, cloud-native data infrastructure and pipelines.
Develop and manage metadata-driven data ingestion and transformation processes.
Support AI and ML infrastructure in partnership with Data Science teams.
Build APIs and data services to enable self-serve analytics and platform integrations.

Skills

Data pipeline development

AWS cloud services

SQL

Python

Snowflake

DataOps practices

CI/CD pipelines

Job description

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DevOps & Infrastructure Headhunter, keen triathlete!

This is a senior-level opportunity for an experienced Data Engineer who is not only technically hands-on but also eager to shape the core data strategy of a fast-moving InsurTech company. You’ll play a pivotal role in designing and developing robust, scalable data pipelines, AI/ML workflows, and APIs that feed data into every part of the business—from underwriter tools to financial systems.

You’ll work in a modern, fully cloud-based stack (AWS, Snowflake, Python, SQL), with strong opportunities to influence architecture, automation, and data product direction across the company.

What you’ll be doing

Design, build, and maintain robust, cloud-native data infrastructure and pipelines
Develop and manage metadata-driven data ingestion and transformation processes
Support AI and ML infrastructure in partnership with Data Science teams
Build APIs and data services to enable self-serve analytics and platform integrations
Optimise data warehouse performance and reliability (Snowflake)
Monitor data quality, pipeline health, and system observability
Partner with cross-functional teams to understand evolving data needs
Take ownership of key components and advocate for engineering best practices
Mentor junior engineers and contribute to a culture of learning and technical excellence

Key Skills

5+ years of experience in data engineering, ideally in a fast-paced product or platform environment
Strong experience with AWS cloud services and infrastructure as code
Proficiency in SQL, Python, and Snowflake
Experience building data pipelines (batch & streaming), APIs, and ML/AI infrastructure
Familiarity with DataOps practices, CI/CD pipelines, and modern orchestration tools
Strong understanding of data quality, schema evolution, and monitoring in production environments
A pragmatic mindset: you value speed and scalability but know where to invest for the long term

Please apply directly or get in touch at d.jeffery@annapurnarecruitment.com if this Data Engineering opportunity sounds like it could be the next step in your career!

Seniority level