Finance Data Engineer — Hybrid, Stock Options, Snowflake

Synthesia; City Of London; On-site; GBP 70,000 - 90,000; Full time

Job summary

An innovative AI company in London is hiring a full-stack engineer to design and manage the data layer for finance. Responsibilities include developing robust data pipelines, collaborating on data governance, and implementing LLM-based querying. Candidates should have over 5 years of experience, strong expertise in Snowflake, and familiarity with ETL tools. The role offers hybrid working, competitive salary, and generous benefits including private healthcare and a pension plan.

Benefits

Competitive salary + stock options

25 days of annual leave + public holidays

Private healthcare through AXA

Pension contribution

Paid parental leave

Free lunches on Wednesdays and Fridays

Generous recruitment referral scheme

Qualifications

• 5+ years of experience as a data engineer or analytics engineer.
• Proven track record in full stack data development.
• Expertise in data modeling and warehousing.

Responsibilities

• Design and maintain ETL/ELT pipelines for finance systems.
• Collaborate on data models and governance policies.
• Implement LLM-based querying and dashboarding solutions.

Skills

Data engineering

SQL

Python

ETL tools (Apache Airflow, dbt, Fivetran)

Data security principles

Snowflake

Education

Bachelor’s or Master’s degree in Computer Science, Finance, Information Systems

Tools

Snowflake

Apache Airflow

dbt

Fivetran

Job description

An innovative AI company in London is hiring a full-stack engineer to design and manage the data layer for finance. Responsibilities include developing robust data pipelines, collaborating on data governance, and implementing LLM-based querying. Candidates should have over 5 years of experience, strong expertise in Snowflake, and familiarity with ETL tools. The role offers hybrid working, competitive salary, and generous benefits including private healthcare and a pension plan.