This role combines responsibilities of both a Data Engineer and a Data Analyst, covering the full data lifecycle, from data ingestion and transformation to analysis and business insight delivery. The position requires both strong technical skills and a solid understanding of business needs, ensuring that data is reliable, accessible, and actionable.
Responsibilities:
- Data Engineering & Architecture
- Write and optimize complex SQL queries and perform ad-hoc data analysis
- Build and maintain data pipelines and ETL/ELT processes
- Automate data workflows and develop data tools using Python
- Design, implement, and maintain scalable data transformations and pipelines
- Develop and optimize data models (fact and dimension structures)
- Ensure data quality, consistency, and availability across systems
- (Optional) Work with medallion architecture and tools such as dbt
- (Optional) Manage and optimize data platforms (e.g., Snowflake)
- Data Analysis & Reporting
- Develop and maintain dashboards and reports to support business decision-making
- Analyze data, identify trends, and deliver actionable insights
- Define, calculate, and monitor KPIs and business metrics
- Translate business requirements into analytical solutions and data models
- Perform ad-hoc analyses and deep-dive investigations
- Apply best practices in data modeling (e.g., Star Schema)
- Business Collaboration
- Gather, clarify, and refine requirements from business stakeholders
- Act as a bridge between technical teams and business users
- Communicate insights in a clear, structured, and business-friendly way
Technologies & Tools:
- SQL – data querying and transformation
- Python – automation and advanced analytics
- Power BI / Qlik – reporting and visualization
- Azure Data Factory – data integration
- Snowflake – data warehousing and modeling
- Git – version control
The ideal candidate:
- Combines analytical thinking with engineering skills
- Understands both technical data structures and business context
- Can independently transform raw data into business insights
- Focuses on scalability, data quality, and maintainability
What we offer:
- Flexible hybrid working and a competitive compensation package
- Opportunities to shape the future of our data platform and BI landscape
- Modern technologies including Snowflake, Azure Data Factory, Power BI, Python, dbt and Terraform
- An end-to-end Data Engineering & Analytics role with real ownership