Data Engineer

New Cadence is a technical consultancy specializing in Click House, the fastest open source database in the market. The team designs and delivers end-to-end solutions that help clients unlock value from their data through real-time analytics, data science, and agentic AI, using the full Click House product family, including Click House Cloud, Langfuse, and the Click Stack observability platform. New Cadence is an official professional services partner of Click House Inc, holds all available Click House certifications, and has supported more than 20 organizations on their Click House journey.

The company offers a highly technical, client-focused environment where team members work with cutting-edge data technologies and complex analytics challenges. More information is available at https://new cadence.io.

As a Click House Data Engineer will design, implement, and optimize data solutions built on Click House for a range of client projects in a full-time hybrid role based, with some flexibility for working from home. Day-to-day responsibilities include building and maintaining data pipelines, modeling data structures, configuring and tuning Click House clusters, and integrating Click House with analytics and AI workloads.

The role involves collaborating with consultants, data scientists, and client engineering teams to understand requirements, translate them into scalable architectures, and ensure data quality, reliability, and performance. The Click House Data Engineer will also contribute to observability and monitoring using tools such as Click Stack, support migrations to Click House Cloud, and assist with troubleshooting, documentation, and best practices. Participation in code reviews, technical knowledge sharing, and ongoing learning about new Click House features and related tooling is expected.

• Candidates should possess strong skills in Data Engineering and Data Warehousing, including building and maintaining scalable data platforms.
• Candidates should possess solid skills in Data Modeling and Data Analytics to design efficient schemas and support real-time analytical workloads.
• Candidates should possess practical experience with Extract Transform Load (ETL) processes, including pipeline orchestration, data integration, and data quality management.
• Candidates should possess hands‑on experience with Click House (or similar columnar/OLAP databases), including performance tuning, cluster configuration, and query optimization.
• Proficiency in SQL and at least one programming language commonly used in data engineering (e.g., Python, Go, or Java) is beneficial.
• Experience with cloud platforms (e.g., Click House Cloud, AWS, GCP, or Azure) and modern data tooling (e.g., orchestration frameworks, observability tools) is beneficial.
• Strong problem-solving skills, ability to work in a consulting environment with clients, and clear written and verbal communication skills are beneficial.
• A degree in Computer Science, Data Engineering