Responsibilities
- Build and maintain robust data pipelines processing large volumes of data
- Analysis of large data sets using tools such as Python & SQL
- Update and optimize our data platform for speed, scalability and cost
- Coordinate with different functional teams to understand and meet their data needs
- Develop processes and tools to monitor and analyze model performance and data accuracy
- Solve general data-related problems
- Setting up new pipelines for the full stream/enrichment/curation process
- Upkeep of source code locations
- Investigating and utilising ML & AI to improve the cloud offering
- Development of junior staff members
Requirements
- Proven experience as a Data Engineer (5-7+ years, can be made up for with accomplishments)
- Strong Leadership experience
- Strong problem solving skills
- Advanced proficiency with SQL
- Proficiency with Python
- Experience with cloud platforms (e.g. Google Cloud, AWS, Azure)
- Experience using version control tools such as git
- Excellent written and verbal communication skills
- A drive to learn and master new technologies and techniques
- A bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or any other related field
Nice to Have
- Data governance
- Building and deploying machine learning models
- Terraform or other infrastructure as code tools
Benefits
- Culture - We put our people first and prioritize the well-being of every team member. We have built a company where all opinions carry weight and where all voices are heard. We value and respect each other and always look out for one another. Above all, we are human.
- Learning - We have a learning and development-focused environment with an emphasis on knowledge sharing, training, and regular internal technical talks.
- Compensation - You’ll receive an attractive salary, pension, health insurance, annual bonus, plus other benefits.
