We are looking for a Data Engineer with hands-on experience integrating new data sources and designing, building, and maintaining data pipelines using DBT within modern data warehouse environments.
The candidate should be a strong communicator and ideally have experience in smaller, fast-paced organizations where ownership is high, ambiguity is common, and initiative is valued. You are proactive in identifying solutions, navigating challenges, and finding answers without relying on direction or established processes.
Start in August or September. Ideally second half of August to first half September.
Duration: 12 months
Location: 3 days on-site and 2 days remote
Must have:
- At least 5+ years of data engineering experience
- Ability to deliver projects autonomously and as part of a team
- Excellent communication and collaboration skills
- Strong in SQL and experience with cloud-based data platforms
- Knowledge of best practices in data warehousing and data modeling
- Experience building data pipelines in DBT (or similar frameworks)
Nice to have skills/experiences:
- Experience in finance or fintech industries
- Data Vault modeling
- Snowflake
- Cloud infrastructure
- CICD/devops
- Python
- Tableau (or similar visualization tools) + experience generating actionable insights and business value
