Proven experience as a Data Engineer (5+ years, can be made up for with accomplishments)

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

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