Data Analytics Engineer
• Mid-Level
• On-Site
• Data
Mark status as:
✨ The Role in One Sentence
We are seeking a highly skilled and experienced Data Analytics Engineer to build and run data pipelines and services supporting marketing and business functions.
📋 What You'll Likely Do
40%: Develop end-to-end ETL/ELT pipelines working with Data Analysts of business functions.
30%: Design, develop, and implement scalable, automated processes for data extraction, processing, and analysis in a Data Mesh architecture.
30%: Ensure data feeds are optimized and available, including Change Capture, Change Data Control, and other delta loading approaches.
🧑💻 Profiles Doing This Job
High Priority: 6+ years of extensive development experience using Snowflake or similar data warehouse technology.
High Priority: Working experience with dbt and other technologies of the modern data stack.
High Priority: Experience in data modeling and can optimize existing/new data models.
📈 How This Role Will Look on Your CV
Developed and maintained data pipelines in a fast-paced environment.