Data Engineer | Dynamic Tier 1 Investment Management Firm

Selby Jennings

London

On-site

GBP 111,169 - 148,226

Full time

14 days+

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Job summary

A highly regarded investment management fund in London seeks a Data Engineer to join their team. You’ll be responsible for developing a state-of-the-art data platform to support portfolio managers and quantitative analysts. Candidates should possess significant experience in data engineering, particularly with SQL and Python, alongside strong collaborative and problem-solving skills. This role offers an exciting opportunity to be at the forefront of data innovation within finance.

Qualifications

Over 5 years of experience in data engineering or a similar role.
Strong expertise in SQL and relational databases.
Proficiency in Python and data manipulation libraries/frameworks.
Excellent debugging skills and problem-solving abilities.
Experience with financial instruments/software.
Knowledge of distributed data components.
Experience in building data platforms/ETLs.

Responsibilities

Develop and enhance a modern data platform and data-intensive applications.
Collaborate with quantitative engineers and researchers.
Work towards a balance of feasibility, stability, scalability, and time-to-market.

Skills

SQL

Python

Data-Maneuvering Libraries

Debugging Skills

Tools

Pandas

Polars

Dask

Vaex

PySpark

Kafka

Redis

ClickHouse

Snowflake

Prometheus

Grafana

Sentry

Job description

This range is provided by Selby Jennings. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Direct message the job poster from Selby Jennings

We are on the lookout for a talented Data Engineer to join a high performing fund in London, responsible for building and maintaining a state-of-the-art data platform for portfolio managers and quants. This role is crucial in developing the core components that will support our team for years to come.

Key Responsibilities:

Develop and enhance a modern data platform and data-intensive applications, including ingestion, ETL, data quality, storage, and APIs.
Collaborate with quantitative engineers and researchers to meet business requirements.
Work towards a balance of feasibility, stability, scalability, and time-to-market for solutions
Work within a global team to deliver scalable, stable, and timely solutions.

What We're Looking For:

Over 5 years of experience in data engineering or a similar role.
Strong expertise in SQL and relational databases.
Proficiency in Python and data-manipulation libraries/frameworks (e.g., Pandas, Polars, Dask, Vaex, PySpark).
Excellent debugging skills and problem-solving abilities.
Experience with financial instruments/software in areas such as research, risk management, portfolio management, etc.
Knowledge of distributed data components (e.g., Kafka, Redis).
Experience in building data platforms/ETLs, including batch and streaming, and data lake/warehouse/lakehouse patterns.
Familiarity with column-oriented data storage and serialisation formats (e.g., Parquet/Arrow).
Skills in code optimisation and performance tuning.

Beneficial to have:

Familiarity with tools like Prometheus, Grafana, Sentry for monitoring and tracing.
Familiarity with ClickHouse, Snowflake, or KDB.

Ready to make an impact in the world of data engineering? Apply now and join our forward-thinking team!

Seniority level

Seniority level
Entry level

Employment type

Employment type
Full-time

Job function

Job function
Information Technology
Industries
Investment Management

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