Day rate: 500 - 550 Inside IR35
Location: London
Design, build, and maintain scalable data pipelines, ETL processes, and data integrations.
Develop and optimize data models, storage solutions, and analytics environments.
Partner with UX/UI designers to create user-friendly dashboards, data tools, and internal products.
Implement visualizations that make complex datasets understandable for technical and non-technical users.
Work with cross-functional teams to translate product requirements into technical designs.
Ensure data quality, governance, and best practices across systems.
Contribute to the evolution of our design systems and front-end components for data tools.
Proven experience as a Data Engineer, BI Engineer, or similar role.
Strong proficiency in SQL, Python, and modern data engineering frameworks (e.g., Airflow, dbt, Spark, etc.).
Experience with cloud platforms such as AWS, Azure, or GCP.
Solid understanding of data warehousing and ETL/ELT architecture.
Demonstrable UX/UI skills: wireframing, prototyping, and designing clean, intuitive interfaces.
Experience with front-end technologies (e.g., React, Vue, or similar) is a plus.
Familiarity with visualization tools (e.g., Tableau, Power BI, or custom solutions).