We're working with a growing organisation looking to strengthen its data capability with the addition of a Data Engineer.
This is a hands-on role within a fast-paced data environment, where you'll be expected to contribute quickly and take ownership of your work.
You'll work across a variety of data initiatives, developing and maintaining pipelines and supporting the delivery of reliable data solutions for reporting, analytics and wider business decision-making.
Responsibilities
Develop and maintain data pipelines and data integration processes
Build and support ETL/ELT processes across a modern data environment
Write, troubleshoot and optimise SQL queries
Work with Python to support data engineering and automation activities
Support the development and enhancement of cloud-based data solutions
Contribute to data modelling, transformation and optimisation activities
Monitor and improve data quality, reliability and performance
Investigate and resolve data and pipeline issues
Work with technical and non-technical stakeholders to understand requirements
Contribute to data platform enhancements and continuous improvement initiatives
Support reporting, analytics and wider data-driven projects
Requirements
2-3 years' commercial experience working as a Data Engineer or in a similar hands-on data role
Strong SQL skills with the ability to write queries confidently and troubleshoot data problems
Practical experience using Python within a data engineering environment
Proven experience building and maintaining ETL/ELT data pipelines
Good understanding of data modelling, data warehousing and modern data engineering principles
Experience working with cloud technologies such as Azure, AWS or GCP
Comfortable working with structured and unstructured datasets
Strong analytical and problem-solving ability, with a practical approach to resolving technical issues
Ability to work independently and deliver at pace in a fast-moving environment
Good communication skills and the ability to work effectively with both technical and business stakeholders
Desirable: Experience with Databricks, dbt, Azure Data Factory, Airflow or other orchestration tools, Snowflake, Git, CI/CD, Power BI or Tableau
Conditions
Fully remote working within the UK
45,000 - 55,000 salary + benefits
Opportunity to work with modern cloud and data technologies
Exposure to Databricks, dbt and modern data engineering practices