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

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
Experience with the following would be a plus:
Data governance
Building and deploying machine learning models
Terraform or other infrastructure as code tools

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.

Data Engineering Lead

Key skills