Data Engineer

Oliver Bernard; Greater London; On-site; GBP 72,000 - 120,000; Part time

Job summary

Oliver Bernard is seeking a Data Engineer in London to build and run the data foundation behind its AI and quantitative models. You will own pipelines bringing market, economic, research, news and internal data into a reliable platform, shaping client tools and models.

You will collaborate with data scientists to deliver clean, model-ready datasets and ensure data quality in a time-sensitive environment. The role requires 4 days per week in central London and offers up to £120k DOE.

Qualifications

• A few years in data engineering with hands-on production ETL/ELT experience.
• Strong SQL and Python for troubleshooting, validation and automation.
• Experience with time-series financial market data.
• Familiarity with cloud data platforms such as Azure, Databricks (Delta Lake) or Snowflake.
• Clear communication and ownership of time-sensitive production issues.
• Degree in Computer Science, Engineering or related field.
• Experience with tick-level data or kdb+.

Responsibilities

• Build, run and support production ETL/ELT pipelines across market, economic, research, news and internal sources, including inter-dealer broker market data.
• Design a scalable bronze/silver/gold architecture on a modern cloud data stack.
• Set up data quality gates and monitoring, and own issues when things break in a time-sensitive environment.
• Build and maintain metadata for instruments, tickers, countries, clients, sources and themes.
• Create APIs and tables that serve dashboards, quant models and AI agent tools.
• Implement lineage tracking, user entitlements and permissions.
• Work closely with data scientists and analysts to deliver clean, model-ready datasets.

Skills

SQL

Python

Time-series data

Data quality

Data lineage

Communication

KDB+

Delta Lake

Education

Bachelor’s in Computer Science or Engineering

Tools

Databricks (Delta Lake)

Snowflake

Azure

Job description

Data Engineer | 4 days a week in London | up to £120k DOE

A London-based financial research and analytics business serving institutional investors is hiring a Data Engineer to build and run the data foundation behind its AI and quantitative models. You will own the pipelines that bring market, economic, research, news and internal data into one reliable platform, and the quality of that data will directly shape the performance of client tools and models.

What you’ll do

• Build, run and support production ETL/ELT pipelines across market, economic, research, news and internal sources, including inter-dealer broker market data.
• Design a scalable bronze/silver/gold architecture on a modern cloud data stack.
• Set up data quality gates and monitoring, and take ownership when something breaks. This is a time-sensitive environment and clients rely on the data being right.
• Build and maintain metadata for instruments, tickers, countries, clients, sources and themes.
• Create APIs and tables that serve dashboards, quant models and AI agent tools.
• Implement lineage tracking, user entitlements and permissions.
• Work closely with data scientists and analysts to deliver clean, model-ready datasets.

What you’ll bring

• A few years in data engineering, with hands-on experience operating and supporting production ETL/ELT pipelines.
• Strong SQL and practical Python for troubleshooting, validation and operational automation.
• Experience with time-series financial market data.
• Familiarity with cloud data platforms such as Azure, Databricks (including Delta Lake) or Snowflake.
• Clear communication and a track record of owning time-sensitive production issues.
• A keen eye for detail and a pragmatic approach to cleaning messy data into reliable, structured datasets.
• Experience with tick-level data or kdb+ (or similar systems).
• Exposure to data lineage, entitlements or data catalog tooling.
• A degree in Computer Science, Engineering or a related field.

The role requires 4 days a week in central London and can pay up to £120k p/a depending on experience.

Data Engineer | 4 days a week in London | up to £120k DOE