Data Engineer

JR United Kingdom; City Of London; On-site; GBP 60,000 - 90,000; Full time

Job summary

A leading tech scale-up in London is seeking a Data Engineer to lead the evolution of their data architecture. This role involves developing scalable systems, collaborating with cross-functional teams, and mentoring junior engineers. Ideal candidates will have over 6 years of experience in data engineering and a strong proficiency in Python, with a passion for data-driven technology.

Qualifications

• 6+ years of hands-on experience in data engineering.
• Proficiency in Python, with experience in Java, Scala, or TypeScript.
• Strong knowledge of cloud-based big data tools.

Responsibilities

• Spearheading the evolution of the company's data platform.
• Building and maintaining scalable data pipelines.
• Designing data models, streaming systems, and transformation workflows.

Skills

Data Engineering

Python

Java

Spark

SQL

Communication

Problem Solving

Tools

AWS

EMR

Lambda

Job description

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High-Growth Tech Scale-Up | Strategic + Hands-On Role

An exciting opportunity has opened up with a rapidly scaling tech company that's investing heavily in its data infrastructure. They are seeking an experienced Data Engineer to take the lead on evolving their architecture while collaborating closely with senior leadership to shape the long-term data strategy.

This role is perfect for someone who enjoys building from the ground up developing scalable systems, writing production-ready code, and playing a key role in data-driven decision-making across the business.

Role Highlights:

• Spearheading the evolution of the company's data platform as it scales beyond MVP
• Building and maintaining scalable data pipelines using Python, Java, Spark, SQL, and more
• Partnering with cross-functional teams (Product, Finance, Ops, Customer Success) to deliver actionable insights and reliable data solutions
• Designing data models, streaming systems, and transformation workflows
• Involved in technical hiring and mentoring, contributing to a high-performance engineering culture

What They're Looking For:

• 6+ years of hands-on experience in data engineering, ideally within fast-moving or finance-oriented environments
• Proficiency in Python (preferred), with experience in other languages like Java, Scala, or TypeScript
• Strong knowledge of cloud-based big data tools (AWS, Spark, EMR, Lambda, etc.)
• Excellent communication and problem-solving skills, with a collaborative mindset
• A passion for supporting SMEs through innovative, data-led technology
• Background in top-tier financial or analytics-driven companies is a plus