Data Engineer

Oscar; Greater London; Hybrid; GBP 70,000 - 95,000; Full time

Benefits offered by this job

Competitive salary

Medical insurance

High-ownership role

Direct exposure to finance stakeholders

Job summary

A financial data solutions provider is seeking a mid-level Data Engineer to join their dynamic team in London. This hybrid role offers a competitive salary ranging from £70,000 to £95,000, depending on experience. The successful candidate will be responsible for building and maintaining robust data pipelines and ensuring data quality across various financial applications. Opportunities for professional growth and involvement in core data infrastructure initiatives will be provided.

Qualifications

• 4+ years’ experience in data engineering or similar role.
• Experience working in financial services.
• Strong hands-on SQL experience, especially with SQL Server.
• Solid Python skills for data management and automation.

Responsibilities

• Build and maintain batch data ingestion pipelines.
• Design and implement data transformation workflows.
• Develop and document data models for financial reporting.
• Implement data quality and monitoring processes.

Skills

SQL

Python

Data modeling

Data quality assurance

dbt

Tools

SQL Server

Docker

Power BI

Job description

Location: London (Hybrid - 4 days on-site)

The Role

We are seeking a mid-level Data Engineer to join a small, high-impact technology team. This role is suited to a self-starter who enjoys autonomy, takes full ownership of their work, and is comfortable operating close to the business in a regulated financial context.

You will design, build, and maintain robust batch data pipelines, transforming data from diverse sources into a consistent, well-modelled SQL-based warehouse. Your work will directly support investment analysis, risk management, accounting, and external reporting.

This is a hands‑on role with real responsibility from day one, offering the opportunity to own projects end-to-end and contribute meaningfully to the firm’s data foundation.

Key Responsibilities

• Build, own, and maintain reliable batch data ingestion pipelines from a wide range of internal and external data sources
• Design, implement, and extend transformation workflows using SQL, dbt, and Python
• Develop clean, consistent, and well‑documented data models to support investment, risk, accounting, and reporting use cases
• Implement data quality, validation, reconciliation, monitoring, and alerting processes to ensure trust and auditability
• Support the production of critical reports used internally and externally, including investor and regulatory reportingWork closely with investment, risk, and finance stakeholders to clarify requirements and translate business needs into robust data solutions
• Respond to ad‑hoc data requests with speed, accuracy, and strong business context
• Take full ownership of deliverables across the full lifecycle: design, build, test, deploy, and maintain

Tech Stack

SQL Server, dbt, Python, Docker, Power BI, private cloud infrastructure (public cloud experience beneficial)

Required Skills & Experience

• 4+ years’ experience in a data engineering, software engineering, or similar technical role
• Experience working in financial services
• Strong hands‑on SQL experience (SQL Server preferred) and experience using dbt
• Solid Python skills for data pipelines, tooling, and automation
• Proven experience designing and maintaining production‑grade data models and pipelines
• Practical understanding of data quality, observability, reconciliation, and audit controls
• Track record of owning work end‑to‑end with minimal supervision
• Exposure to investment, risk, accounting, or reporting workflows within asset management or finance (preferred)

How You Work

• Self‑motivated and comfortable operating with a high degree of autonomy
• Curious and analytical, with a willingness to dig into messy, real‑world data
• Detail‑oriented where controls and accuracy matter, but pragmatic and delivery‑focused
• Confident communicator, able to work effectively with non‑technical but quantitative stakeholders

What We Offer

• Competitive salary of £70,000 – £95,000 depending on experience
• Medical insurance
• High‑ownership role within a small, collaborative team
• Direct exposure to investment, risk, and finance stakeholders
• Opportunity to shape and own core data infrastructure in a growing business