Data Engineer

We’ve been retained to find an Analytics Engineer, where you’ll be responsible for building and refining an end-to-end data transformation layer – from real time data ingestion and model development to production deployment and monitoring in AWS. You’ll design scalable business solutions that drive data-driven decision-making and create measurable impact.

Key Responsibilities

• Develop and refine dimensional data models using dbt and Clickhouse
• Build proprietary metrics and KPIs in collaboration with sales and customer sucess
• Improve data quality with automated testing and observability
• Automate core business processes for efficiency gains
• Create internal Hex applications and Preset visualizations to democratize data access
• Enhance modeling infrastructure for scalability and performance
• Implement statistical methods for anomaly detection (Prophet, ARIMA, Tukey’s Fences)
• Drive quantifiable business value through data operationalization
• Stay ahead of industry trends and introduce cutting-edge tools and techniques
• Present insights and recommendations to senior leadership

Qualifications & Skills

• Bachelor’s degree in a technical field (Economics, Information Systems, or related)
• Strong experience with dbt, SQL, and data warehousing (Snowflake, BigQuery, Ckickhouse preferred)
• Proficiency in Python, Docker, and Kubernetes
• Hands-on experience with ETL tools, Spark, and CI/CD pipelines (Git, Jenkins)
• Experience with data visualization tools like Tableau or Hex
• Strong analytical, problem-solving, and communication skills
• Ability to work cross-functionally in a fast-paced environment

This role is ideal for someone with an entrepreneurial mindset, who thrives on scaling data solutions, driving automation, and delivering clear ROI for customers. If you’re passionate about defining the next generation of data-powered products, we’d’ love to hear from you!