Data Engineer

Data Engineer 

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

Tech Environment Includes:

• TypeScript (React.js / Node.js)

• Python & Java

• AWS Cloud Infrastructure

• Modular Monolith Architecture

• Big Data Tools (Spark, EMR, Lambda)