About the Role
The Junior Data Engineer is an entry-level, hands-on technical role within the RE technology team, supporting the development and maintenance of data pipelines and data products that support business analytics, underwriting, and decision-making. You will work under the guidance of Lead and senior Data Engineers, alongside Data Scientists, Product Owners, and business stakeholders, to help deliver secure, reliable, and cost-effective data solutions across cloud and on-premises platforms.
Responsibilities
•Support the build and maintenance of data pipelines and data products across the data lifecycle
•Implement well-defined data engineering tasks under the guidance of senior and Lead Data Engineers
•Help ensure data is accurate and accessible for analytics and reporting
•Contribute to incremental delivery of business value using agile practices
•Assist with Proofs of Concept and experimentation
•Learn and apply best practices in cloud data engineering and DevOps, including CI/CD and testing
•Develop using modern platforms such as Snowflake, Azure, and GCP
•Write clear, maintainable code using Python, SQL, dbt, and orchestration tools
•Take part in code reviews and act on feedback
•Assist with monitoring and troubleshooting of pipelines
•Work closely with Data Engineers, Data Scientists, and stakeholders
•Support Product Owners in the delivery of data solutions
•Participate in the Data Engineering Chapter and knowledge sharing
•Help business users with data understanding
•Follow data governance, quality, and security best practices
•Support validation, lineage, and monitoring within pipelines
•Contribute to documentation of data products and pipelines
•Develop an awareness of cost-efficient solution design
•Support the optimisation of pipelines for performance and scalability
•Assist with monitoring of platform usage
Requirements
•Some experience or exposure to Data Engineering, software development, or analytics (typically 1–2 years)
•Working knowledge of SQL
•Basic programming experience, ideally in Python
•Awareness of cloud platforms such as Azure or GCP
•Awareness of data warehouse technologies such as Snowflake
•Familiarity with source control and an interest in CI/CD practices and automated testing
•Basic understanding of data modelling concepts (OLTP, OLAP)
•Familiarity with structured and semi-structured data
•Exposure to SQL databases
•Willingness to take ownership of assigned tasks and deliver them to completion
•Pragmatic problem-solving approach
•Interest in working in agile environments
•Strong communication skills
•Ability to work in cross-functional teams
•Openness to feedback and coaching
Nice to Have
•Exposure to orchestration tools such as Prefect, Airflow, or ADF is beneficial
•Exposure to dbt or similar transformation tools is beneficial
•Degree in Computer Science, Engineering, Mathematics, Data Science, or a related field
•Awareness of data governance concepts
•Exposure to BI tools such as Power BI or Dataiku
•Exposure to legacy tools such as SQL Server or SSIS
Conditions
Work with amazing people and be part of a unique culture.
