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описание
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.
задачи
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
требования
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
Будет плюсом: 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
условия
Work with amazing people and be part of a unique culture
