Data Engineer - Glocomms

Overview

Mid‑Level Data Engineer (Contract)

Start Date:

ASAP

Contract Duration: 6 Months

Experience with in the Financial Services Industry is a must. If you're a Data Engineer who enjoys building reliable, scalable data pipelines and wants your work to directly support front‑office decision‑making
, this role offers exactly that. You'll join a data engineering function working closely with investment management and front‑office stakeholders
, helping ensure critical financial data is delivered accurately, efficiently and s role sits at the intersection of technology, data, and the business
, and is ideal for someone who enjoys ownership, delivery, and solving real‑world data challenges in a regulated environment. This is a hands‑on opportunity for a mid‑level engineer who can contribute from day one and take responsibility for production data workflows.

• Building and maintaining end‑to‑end data pipelines (ETL/ELT) to support analytics and downstream use cases
• Developing scalable data solutions using Python, with a focus on maintainability and performance
• Working with Apache Spark / PySpark to process and transform large datasets
• Supporting the ingestion, transformation and validation of complex financial data
• Improving the performance, reliability and resilience of existing data workflows
• Partnering with engineering, analytics and front‑office teams to understand requirements and deliver trusted data assets
• Taking ownership of data issues and seeing them through to resolution
• Contributing ideas that improve data quality, automation, and overall platform efficiency

• Essential
• Commercial experience as a Data Engineer at a mid‑level
• Strong Python development skills
• Hands‑on experience with Apache Spark / Py Spark
• Solid experience building ETL/ELT pipelines
• Background within the financial services industry (investment management experience desirable)
• Comfortable working with production systems in a regulated environment
• Able to work independently and deliver in a fast‑paced setting

• Exposure to Polars
• Experience optimising Spark workloads
• Cloud data platform experience across AWS, Azure or GCP

• You ll work on data that directly supports investment and front‑office functions
• You ll have ownership of production pipelines, not just isolated tasks
• You ll collaborate closely with both technical teams and business stakeholders
• Your work will have clear, visible impact on data quality, reliability and decision‑making
• You ll join a team that values pragmatic engineering, accountability and continuous improvement

Interested? Get in touch to discuss the role in more detail and what success looks like in the first few months.

• Commercial experience as a Data Engineer (mid level)
• Strong Python skills
• Hands on Apache Spark / PySpark experience
• Experience with ETL/ELT and data extraction
• Background in financial services, ideally investment management
• Comfortable working in a regulated, production environment

• Exposure to Polars
• Experience optimising Spark workloads
• Cloud data platform experience (AWS, Azure or GCP)

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