Data Engineer

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Entrepreneur & Recruitment Director Building High-Performing Teams Cutting Costs & Securing Top Tech Talent

Data Engineer Cloud-Native High-Impact Products Remote £75,000 – £95,000 + Benefits

One of the Most In-Demand Data Engineering Roles on the Market Right Now

We’re partnered with a fast-scaling, product-led tech company that’s making serious waves in their industry, and data is at the core of it all. They’re building smarter, scalable platforms that help customers in real-time, and now they’re looking for a Data Engineer who can help architect the systems that make that possible.

This is not just another data team hire, you’ll be pivotal in designing, building, and scaling cloud-based data infrastructure that powers critical business intelligence, product insights, and machine learning.

What You’ll Be Working On:

Building robust, scalable data pipelines (batch + real-time) using Spark, Kafka, Airflow, dbt

Designing warehouse architectures on Snowflake, BigQuery, or Redshift

Developing ETL/ELT solutions that transform billions of records with performance and governance in mind

Integrating APIs and external data sources into a unified data platform

Partnering cross-functionally with data scientists, engineers, and product teams to deliver value-driven insights

Implementing data observability, lineage, and quality frameworks to support growth at scale

️ The Tech You’ll Use:

Cloud: AWS or GCP

Warehousing: Snowflake, BigQuery, Redshift

Streaming: Kafka, Kinesis

Languages: Python, SQL, Bash

What We're Looking For:

3+ years of experience as a Data Engineer working with modern data stacks

Proven experience building and maintaining pipelines in production

Experience with event-driven architecture and cloud-native environments

A keen understanding of data privacy, security, and governance best practices

Bonus points for experience with tools like Looker, Power BI, or Tableau

High-impact role: Your work directly supports real-time decision-making for thousands of users

Modern stack: No legacy systems, no duct tape – build the right way from the start

Remote-first: Work from anywhere, with flexible hours

Backed for growth: You’ll have a budget for tools, training, and conferences

Culture-led: Empowered teams, low ego, lots of collaboration

Screening Questions:

Describe a complex pipeline you’ve built – what made it challenging?

How have you used streaming technologies like Kafka or Kinesis?

What’s your go-to stack for building a modern data platform, and why?

Have you worked with dbt or Airflow in a production setting?

What’s your approach to handling schema evolution and bad data?

Seniority level

Seniority level

Mid-Senior level

Employment type

Employment type

Full-time

Job function

Job function

Product Management and Information Technology

Industries

Technology, Information and Internet

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