Responsibilities
- Build, maintain, and optimize ETL/ELT data pipelines and data models to support reporting and analytics use cases
- Write, troubleshoot, and optimize SQL queries for data extraction, transformation, validation, and performance
- Develop and maintain reporting datasets and documentation to improve data reliability and usability
- Partner with internal stakeholders to understand requirements and translate them into well-defined data solutions
- Implement data quality checks and monitoring to ensure accuracy, completeness, and timeliness of data outputs
- Support ad hoc data analyses and investigate data issues as needed
Minimum Requirements
- 4+ years of experience as a Data Engineer, BI Engineer, or Analyst in a product- or service-based company
- 2+ years of experience working with SQL, ETL, and reporting (including building or supporting production data pipelines)
- Experience in at least one programming language (e.g., Python or C++)
- Experience working with structured datasets, data modeling concepts, and analytics/reporting workflows
- Strong communication skills, including the ability to document processes and explain technical concepts clearly
Rate:
£33/hour
Location:
London
IR35 Status:
Not specified
Remote Status:
Hybrid
Industry:
Data & Analytics
Seniority Level:
Mid-Level