Data Engineer

Our client is seeking a Data Engineer to support data pipelines, reporting, and analytics needs across cross-functional stakeholders. In this role, you will help design, build, and maintain scalable datasets and data processes that enable reliable metrics, dashboards, and business insights.

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  

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  

Benefits

• Competitive salary
  
• Healthcare contribution and inclusion in company pension scheme
  
• Work laptop and phone
  
• 25 days annual leave (pro-rata) plus paid bank holidays
  
• Expanding workforce with potential for career progression for top performers.