Data Engineer

Datatech Analytics; Remote; GBP 45,000; Full time

Job summary

A leading data solutions company is seeking a Data Engineer to join their remote team, focusing on modernising their data platform. The successful candidate will build scalable ELT/ETL pipelines and collaborate with various stakeholders to enhance data quality and drive insights. This role requires 2+ years in data engineering, strong SQL skills, and a proactive communication style to translate technical concepts to non-technical audiences. A great opportunity to grow in a supportive environment.

Qualifications

• 2+ years' experience in data engineering within a modern cloud stack.
• Strong SQL skills and a solid data modeling foundation.
• Experience with Python or similar for pipeline development and automation.

Responsibilities

• Help shape and deliver a refreshed data strategy and modern intelligence platform.
• Build reliable, scalable ELT/ETL pipelines into a cloud data warehouse.
• Develop and optimize core data models and transformations.

Skills

SQL

Cloud technologies (AWS, Azure, GCP)

Python

Data modeling

Orchestration tools (dbt, Airflow)

Communication skills

Job description

Data Engineer, Remote

Modern Cloud Data Stack

£45,000 DOE

No sponsorship, post-grad visa not available

A high-visibility opportunity with a values-led organisation modernising its data platform and refreshing its data strategy. You'll be trusted early, work directly with stakeholders across the business, and build the foundations that power better insight, smarter decisions, and real-world impact.

This suits someone with 2+ years' experience who wants to step up, take ownership, and grow quickly in a supportive environment. Communication is central here, you'll succeed by translating business questions into robust, trusted data assets, and by bringing people with you on the journey.

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)
• Develop 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 stakeholders to turn questions into production-grade 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 cloud stack
• Strong SQL, plus a solid data modelling foundation
• Python preferred (or similar) for pipeline development and automation
• Cloud exposure (AWS, Azure, or GCP)
• Familiarity with orchestration and analytics engineering tools (dbt, Airflow, or similar)
• Strong habits around governance, security, documentation, Git, and CI/CD

What will make you stand out in this business

• Clear, confident communication, you can explain technical choices in plain English
• Strong stakeholder mindset, you ask the right questions and align on outcomes early
• Ownership, curiosity, and a bias for building things properly

Excited? Apply now.