About this role
The team is seeking a skilled Data Engineer to join their dynamic team. In this role, you will be responsible for designing, developing, and maintaining scalable ETL pipelines and DataOps workflows. You will work closely with cross-functional teams to ensure data integrity and optimize data processes.
Key Responsibilities:
- Design, develop, and maintain scalable ETL pipelines and DataOps workflows.
- Build robust processes to integrate internal and external data sources with quality checks.
- Automate manual tasks and optimize data ingestion and delivery processes.
- Collaborate with product, marketing, and business development teams to support data initiatives.
- Assist technology teams in evaluating and setting up tools for data governance and analytics.
- Drive innovation in data infrastructure and quality assurance practices.
Required Skills & Qualifications:
- Proficiency in data engineering tools and frameworks.
- Strong experience with ETL processes and data pipeline development.
- Knowledge of data governance and analytics tools.
- Familiarity with programming languages such as Python or Java.
- Excellent problem-solving skills and ability to work in a collaborative environment.
Experience:
- Minimum of 5 to 8 years of experience in data engineering or related fields.
What we offer:
The team provides a supportive work environment with opportunities for professional growth and development. You will be part of a forward-thinking team that values innovation and collaboration.
Applications are read by our talent team, usually within two working days.
If you look like a fit we will call you, and you will hear from us either way.