Data Lead

at  Codility

Codility is a leading platform for assessing and advancing technical skills in an AI-driven world.
Over the last 10+ years we pioneered technical assessments for engineers as part of their recruitment process and helped 5000+ customers including world’s biggest names like Microsoft, Google, and Amazon build their engineering teams with our technical screening and interviewing solutions.

THE ROLE

You will lead the Data Engineering team, which tackles complex, cross-regional, multi-domain challenges impacting Codility’s business and its customers. The team is involved in everything related to the Data platform and analytics. It is spearheading Codility’s machine learning initiatives (ML) translated into value-bringing products and features for our customers.
As a team, we’re never satisfied with maintaining the status quo; we’re always seeking to innovate and improve. We believe in innovation through iteration, following a cycle of building, measuring, learning, and refining. Collaboration is central to our approach, and we strive to create a supportive, welcoming, and innovative environment where teamwork thrives. We work closely with various functions across the company to achieve our goals.

WHAT WILL YOU DO?

• Lead a cross-functional team to develop new data products for the company and the company’s customers.
• Enable the Codility departments to make data-driven decisions via easy access, adding transforming, and retrieving business-relevant data
• Promote and Implement observability and monitoring within the data platform.
• Contribute to the design and implementation of Codility’s data architecture, with a focus on real-time processing, reliability, scalability, and cost-efficiency.
• Collaborate on the delivery, storage, and transformation of data, contributing to Codility’s data models while ensuring compliance with Data laws and regulations
• Take full technical ownership of data products, from understanding business requirements to deployment and beyond.
• Build and cultivate a strong, cohesive data engineering team where individuals continually develop their skills.
• Establish strong foundations for data quality and promote them throughout the organization.