Data Engineer
Summary
A hands-on data engineer at a fast-scaling London tech company leads the evolution of its data platform, building scalable pipelines, data models, and streaming workflows with Python, Java, Spark, SQL, and AWS while partnering with senior leadership on long-term data strategy.
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