Data Engineer - AM

Harrington Starr

Manor Park, United Kingdom

16 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Languages

English

Experience level

Intermediate

Compensation

£ 74K

Job location

Manor Park, United Kingdom

Tech stack

API

Artificial Intelligence

Amazon Web Services (AWS)

Data analysis

Azure

Business Intelligence

Information Engineering

Data Governance

Data Integration

ETL

Data Warehousing

Github

Python

Power BI

SQL Databases

Large Language Models

Snowflake

Powerquery

Information Technology

Performance Monitor

Data Pipelines

Job description

An exciting opportunity for a hands-on Data Engineer / BI Developer to join a leading Asset Management firm. This role sits at the intersection of data, analytics, and investment technology, enabling portfolio managers and investment teams to make data-driven decisions that deliver measurable client and business outcomes.

You'll design, build, and maintain data pipelines, analytics models, and Power BI dashboards, integrating data from systems such as Snowflake, SQL databases, Bloomberg, and SimCorp. Sitting directly with the Investment Management team, you'll work closely with both business and technology stakeholders, ensuring best practices in data governance, quality, and automation., * Build and maintain ETL/ELT data pipelines in Snowflake, integrating internal and external data sources (Bloomberg, SimCorp, market data vendors).

Develop Power BI dashboards and reports to support investment, risk, and operations teams.
Create and optimise data models for analytics and decision-making.
Ensure data accuracy, lineage, and governance across systems.
Automate manual workflows to enhance reporting efficiency.
Collaborate with teams across Investment Management and Technology to deliver scalable, data-driven solutions.

Requirements

Strong Python and SQL skills; experience with Snowflake or other cloud data warehouses.
Proven experience building dashboards and reports in Power BI (DAX, Power Query).
Hands-on experience with ETL/ELT tools (dbt, Matillion, Informatica, etc.).
Familiarity with APIs and data integration from market data providers.
Knowledge of financial data and systems (Bloomberg, SimCorp Dimension) preferred.
Understanding of investment management workflows (portfolio management, risk, compliance, performance reporting).
Experience with GitHub and AI tools (OpenAI, LLM APIs, agentic workflows)., * Bachelor's degree in Computer Science, Quantitative Finance, Data Engineering/Analytics/Science, or related field.
2+ years of experience in data engineering, BI development, or analytics.
Background in asset management, hedge funds, or investment banking is advantageous.

Nice to Have: