Senior Data Engineer

What you’ll do

• Contributing to the delivery of scalable data architectures, and development & design best practices
• Leading collaborations across data disciplines to develop, optimise and maintain data pipelines and solutions
• Engages actively in facilitating team-based problem-solving sessions and contribute to the development of best practices
• Initiating and nurturing effective working relationships, acting as a trusted advisor on product analytics and commercial data solutions
• Leading technical recommendations and decision-making while, mentoring early-career engineers playing a key role in growing the team's capabilities
• Owning the delivery of their allocated initiatives within specified scope, times and budgets

Requirements

What we are looking for?

Critical to success in the role is the ability to operate in the liminal space between business, data and technical practice.

• An all-of-business ownership mindset over siloed success; leading with high levels of personal integrity and accountability
• Ability to distil business and analytics requirements into well-defined engineering problems
• Skilled at identifying appropriate software engineering methods (e.g. modularisations, abstractions) that make data assets tractable
• Strong software engineering fundamentals (e.g. data structures, principles of software design, build & testing)
• Strong data engineering experience (e.g. transformations, modelling, pipelines), grounded in the basics of an analytical discipline (e.g. analytics or science)
• Skilled in designing and building pipelines using cloud services such as AWS EC2, Glue, Lambda, SNS, SQS, IAM, ECS or equivalent
• Demonstrated experience with distributed technologies such as Airflow, HDFS, EMR
• Proficient in two or more programming languages such as Python, Spark, Scala or similar