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About the Role
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
Skills
- SQL
- ETL
- Reporting
- Python
- C++
- Data Modeling
- Data Pipelines
- Data Quality
- Data Analysis
Location
- Hybrid
Work Type
- Hybrid (3 days onsite)
- 7 months
Experience Level
- 4+ years
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.