About the role

Develop and maintain data pipelines and integration processes while supporting the delivery of cloud-based data solutions. Collaborate with stakeholders to model data and ensure the reliability, quality, and performance of data platforms.

What they look for

SQL Python ETL ELT Data pipelines Data modelling Cloud technologies Azure AWS GCP Data warehousing Analytical skills Problem-solving Databricks Snowflake Power BI

Requirements

Requires 2-3 years of experience in a data-focused role with strong proficiency in SQL and Python. Candidates should have experience building ETL/ELT pipelines and familiarity with cloud platforms like Azure, AWS, or GCP.

Benefits

Competitive salary Remote working Learning and development opportunities Supportive working environment Career progression

Full description

Data Engineer

Location: Fully Remote (UK)

Salary: 45,000 - 55,000 + Benefits

Contract: Permanent, Full-Time

We're working with an organisation looking to strengthen its data capability with the addition of a Data Engineer.

This role offers the opportunity to work across a variety of data initiatives, supporting the development and optimisation of modern data platforms and pipelines that enable reporting, analytics, and business decision-making. You'll collaborate with both technical and non-technical stakeholders while contributing to the delivery of reliable, scalable data solutions.

Key Responsibilities

Develop and maintain data pipelines and data integration processes
Support the delivery of cloud-based data solutions
Assist with data modelling, transformation, and optimisation activities
Work with stakeholders to understand data requirements and business needs
Monitor and improve data quality, reliability, and performance
Contribute to data platform enhancements and continuous improvement initiatives
Support reporting, analytics, and wider data-driven projects

Required Experience

2-3 years of experience in a Data Engineer or similar data-focused role
Strong SQL skills and experience with Python
Experience building and maintaining ETL/ELT pipelines
Exposure to cloud technologies such as Azure, AWS, or GCP
Understanding of data warehousing and modern data platforms
Experience working with structured and unstructured datasets
Strong analytical and problem-solving skills
Ability to communicate effectively with both technical and business stakeholders

Desirable Experience

Exposure to tools such as Databricks, Snowflake, Azure Data Factory, Fabric, Airflow, or dbt
Experience using Git or similar version control tools
Knowledge of CI/CD practices
Familiarity with BI and reporting tools such as Power BI or Tableau

What's on Offer

Fully remote working
Competitive salary and benefits package
Exposure to modern cloud and data technologies
Ongoing learning and development opportunities
Supportive and collaborative working environment
Clear opportunities for career progression

This is an excellent opportunity for a Data Engineer looking to further develop their skills while working on a range of impactful data projects within a growing and forward-thinking team.