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Full-Time
A leading creative technology company is seeking a skilled Data Engineer to join its data team. This role is ideal for someone passionate about building scalable data infrastructure and enabling data-driven decision-making across the business.
Role Overview
As a Data Engineer, you'll be responsible for designing and maintaining robust data pipelines and models that support analytics and reporting. You'll work with diverse datasets and collaborate with cross-functional teams to ensure data is accurate, accessible, and actionable.
Key Responsibilities
- Build and maintain scalable ETL/ELT pipelines.
- Design data models and schemas to support analytics and reporting.
- Integrate data from APIs, internal systems, and streaming sources.
- Monitor and ensure data quality and availability.
- Collaborate with analysts, engineers, and stakeholders to deliver clean datasets.
- Optimise data architecture for performance and reliability.
- Share best practices and contribute to team knowledge.
Required Skills
- 3+ years in a data engineering role.
- Proficient in SQL and Python.
- Strong experience with AWS services (e.g., Lambda, Glue, Redshift, S3).
- Solid understanding of data warehousing and modelling: star/snowflake schema
- Familiarity with Git, CI/CD pipelines, and containerisation (e.g., Docker).
- Ability to troubleshoot BI tool connections (e.g., Power BI).
Desirable Skills
- Experience with Infrastructure as Code (e.g., CloudFormation).
Please send me a copy of your CV if you meet the requirements
