Data Engineer

Datatech; Remote; GBP 60,000 - 80,000; Full time

Job summary

A leading data solutions provider in the United Kingdom is seeking a Data Engineer to drive their data strategy and modernise their intelligence platform. This remote role is ideal for someone early in their career with 2+ years of data engineering experience. You will engage with stakeholders, build reliable ETL pipelines, and contribute to data initiatives. Strong skills in SQL and Python are essential, along with cloud experience in AWS, Azure, or GCP. Join a supportive environment with growth opportunities.

Qualifications

• 2+ years’ experience in data engineering within a modern stack.
• Strong SQL skills and a solid modeling foundation.
• Cloud experience with AWS, Azure, or GCP.

Responsibilities

• Help shape and deliver a refreshed data strategy and modern intelligence platform.
• Build reliable, scalable ELT/ETL pipelines into a cloud data warehouse.
• Create trusted data products that enable self-service analytics.

Skills

Data engineering

SQL

Python

AWS

Data modeling

Tools

Snowflake

Databricks

dbt

Airflow

Job description

Data Engineer, Remote

Modern Cloud Data Stack

45,000 PA DOE

This is a high-visibility opportunity in an ambitious, values-led organisation refreshing its data strategy and modernising its intelligence platform. You’ll be trusted early, work closely with stakeholders, and build the foundations that drive better insight, smarter decisions, and meaningful impact, using data for good.

It’s ideal for someone early in their journey with 2+ years’ experience, ready to step up. You’ll join a supportive, encouraging environment with real runway to grow technically and start developing leadership skills as your ownership and influence increases across the business.

What you’ll do

• Help shape and deliver a refreshed data strategy and modern intelligence platform
• Build reliable, scalable ELT/ETL pipelines into a cloud data warehouse, Snowflake, Databricks, or similar
• Build and optimise core data models and transformations, dimensional, analytics-ready, built to last
• Create trusted data products that enable self-service analytics across the organisation
• Improve data quality, monitoring, performance, and cost efficiency
• Partner with analysts, BI, and non-technical teams to turn questions into robust data assets
• Contribute to standards, best practice, and reusable engineering frameworks
• Support responsible AI tooling, including programmatic LLM workflows where relevant

What you’ll bring

• 2+ years’ experience in data engineering within a modern stack
• Strong SQL and a solid modelling foundation
• Python (preferred) or similar for pipeline development and automation
• Cloud experience, AWS, Azure, or GCP
• Familiarity with orchestration and analytics engineering tools, dbt, Airflow, or similar
• Strong habits around governance, security, documentation, version control (Git), and CI/CD

The kind of person who thrives here

Confident, curious, and motivated. You care about doing things properly, you enjoy being visible and trusted in the business, and you’re passionate about using data to create positive outcomes.

Excited . APPLY NOW

No Sponsorship - Post Grad Visa