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Data Engineer

BlackTide Partners

Greater London

On-site

GBP 55,000 - 75,000

Full time

13 days ago

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Job summary

A high-growth tech scale-up in Greater London is seeking an experienced Data Engineer to lead the evolution of their data architecture. This role involves building scalable data pipelines, collaborating with cross-functional teams, and supporting data-driven decision-making. The ideal candidate has over 6 years of experience in data engineering, proficiency in Python and familiarity with cloud-based tools like AWS. This exciting opportunity promises a strategic yet hands-on role in shaping a robust data infrastructure.

Qualifications

  • 6+ years of experience in data engineering, ideally in fast-paced environments.
  • Experience in Python and other languages like Java or Scala.
  • Knowledge of AWS and big data tools.

Responsibilities

  • Lead the evolution of the data platform.
  • Build and maintain scalable data pipelines.
  • Collaborate with cross-functional teams to deliver insights.

Skills

Data architecture evolution
Scalable data pipelines
Python
Java
Cloud-based tools (AWS, Spark)
Communication skills
Problem-solving

Tools

AWS
Spark
EMR
Lambda
Job description
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)
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