Key skills
AirflowApacheAWSETLPythonSparkSQLELTData EngineeringAnalyticsSnowflakeApache SparkdbtS3
About this role
Role Overview
- Build, maintain, and improve data pipelines and related systems
- Follow and help uphold best practices in data engineering
- Take part in code reviews and team knowledge sharing
- Ensure data is modelled and structured for analytics and operational use cases
- Work with teams to understand requirements and deliver technical solutions
- Help identify opportunities for optimisation and tool improvements
Requirements
- 2+ years as a Data Engineer working on data platforms
- Experience building and operating ETL/ELT pipelines
- Hands-on experience with modern data stacks — Python, SQL, Snowflake, Apache Iceberg, AWS S3, PostgresDB, Airflow, dbt, and Apache Spark
- Ability to work effectively with teammates and stakeholders
- Pragmatic approach to balancing quality with delivery needs
- Eagerness to learn, take feedback, and grow your technical skills
Tech Stack
- Airflow
- Apache
- AWS
- ETL
- Python
- Spark
- SQL
Benefits
- market-competitive salary
- private medical insurance
- company share options
- generous holiday allowance
- annual flexible hybrid working contribution