Lead Data Engineer (9488)

Our partner is an AI company that transforms data into profitable outcomes. They deliver machine learning models that create additional revenue for their current and prospective customers. They are an efficient small team with a track record of adding value. They tackle the most pressing issues facing the sector, and they lead the way in terms of real-time pricing and decision support tooling. Their machine learning operations paradigm is put into practice using Azure, Databricks, and Coralogix on the cloud.

Tasks:

• Use the most robust and efficient data pipelines that provide models with timely and clean data
• Lead the company data function, responsible for all operational management of data systems
• Lead data science initiatives and support your team to effectively design and execute research 
• Guide your team regarding methods, infrastructure and/or data engineering
• Manage Stakeholder relationships at all levels across the business and understand and align their data requirements
• Develop data science competencies and resources within the business for the corporate exploitation of big data sets and sourced data as well as opening access to cloud and other tools and techniques for data analytics, machine learning
• Lead on application data integrations, utilising APIs and Azure toolsets
• Drive the adoption of tools that provide data catalogues
• Tracking of personal identifiable information, definition, and documentation of metrics
• Make decisions about where and how to store data

Requirements:

• Computer science or software engineering background
• 5 years of experience in data engineering
• Good understanding of cloud technologies and architectures
• Leadership and people management skills
• Experience with mentoring and guiding more junior team members
• Proficiency in Python
• Fluency in English

Competences:

• Strong organizational, communications and interpersonal skills
• Teamwork
• Consultant mindset
• Excellent analytic thinking and problem-solving skills
• Willingness and capability to learn

Benefits:

• Competitive salary package
• Opportunity to develop and grow
• Flexible work culture
• Hybrid work