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Data Engineer - Python

Qh4 Consulting

London

Hybrid

GBP 50,000 - 70,000

Full time

16 days ago

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Job summary

Qh4 Consulting seeks a Software/Data Engineer to enhance data systems within Investment Management. You will modernize market data processes, troubleshoot production issues, and collaborate across teams to deliver scalable solutions. This hybrid full-time role provides the opportunity to impact significant data operations.

Benefits

Hybrid working model

Exposure to business-critical systems

Qualifications

Strong Python programming skills in data engineering contexts.
Solid experience in building ETL pipelines.
Proficiency with SQL and data lakes.

Responsibilities

Rebuild and optimize Python-based data pipelines.
Investigate and address root causes of production issues.
Support development of APIs and integration with systems.

Skills

Python Programming

SQL

ETL Pipelines

Data Transformation

CI/CD

Tools

Docker

Apache Hive

Airflow

This range is provided by Qh4 Consulting. 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 Qh4 Consulting

Location: City of London (hybrid – 2–3 days in office)

Type: Full-time, permanent

Sector: Investment Management

We are looking for a Software/Data Engineer to join a growing team focused on transforming core technology systems and data pipelines within a leading investment management environment. This is a hands-on role involving the modernisation of market data processes, resolution of production issues at the root cause, and delivery of reliable, scalable solutions.

You will be joining a collaborative team tasked with replacing legacy infrastructure and delivering long-term improvements across data platforms and critical operational systems.

Key Responsibilities

Rebuild and optimise Python-based data pipelines, improving performance, reliability and scalability.
Investigate and address root causes of recurring production issues.
Enhance data throughput and system robustness across operations, market data and portfolio systems.
Contribute to the delivery of clean, testable, and well-documented solutions within a containerised environment.
Collaborate with software engineers, production support, and business users to ensure effective delivery.
Support the development of high-quality APIs (REST and GraphQL) and integration with internal and third-party systems.

Required Experience

Strong Python programming skills, ideally within data engineering or integration-heavy environments.
Solid experience building and orchestrating ETL pipelines.
Good understanding of data transformation tools and working with structured/semi-structured data.
Proven ability to implement meaningful tests around business logic.
Proficiency with SQL and working with databases and data lakes.
Experience working in CI/CD environments (e.g. GitHub Actions, Sonar) and with containerised systems (e.g. Docker).
Ability to operate both independently and as part of a collaborative team.
Strong communication skills and ability to engage with business stakeholders directly.
Familiarity with legacy systems (e.g. C#) and willingness to interact with them where necessary.
Exposure to Cloudera Data Platform or similar big data environments.
Experience with tools such as Apache Hive, NiFi, Airflow, Azure Blob Storage, and RabbitMQ.
Background in investment management or broader financial services, or a strong willingness to learn the domain.

The Role Offers

The opportunity to be part of a new, focused engineering team, supported by an experienced wider technology group.
A hybrid working model based in the City of London (typically 2–3 days per week in the office).
Exposure to business-critical systems and direct involvement in the improvement of data services used across the firm.

If you are interested in this opportunity, please apply with your CV. We will be in touch if your profile is a good match for the role.

Seniority level

Seniority level
Not Applicable

Employment type

Employment type
Full-time

Job function

Job function
Information Technology
Industries
Investment Management, Investment Banking, and Financial Services

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