Data Analytics Engineer
• Mid-Level
• On-Site
• Data
Mark status as:
✨ The Role in One Sentence
Seeking a Data Analytics Engineer to build and run data pipelines supporting marketing and business functions.
📋 What You'll Likely Do
40%: Develop end-to-end ETL/ELT pipelines, working with Data Analysts.
30%: Design and implement scalable processes for data extraction, processing, and analysis.
30%: Translate business requirements into technical specifications, including data models and reports.
🧑💻 Profiles Doing This Job
High Priority: 6+ years of experience with Snowflake or similar data warehouse technology.
High Priority: Experience with dbt and modern data stack technologies.
High Priority: Proficiency in SQL and data modeling.
📈 How This Role Will Look on Your CV
Developed and maintained data pipelines in a fast-paced environment.