Company Description
Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change.
By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses.
From prototype to real-world impact - be part of a global shift by doing work that matters.
Job Description
Our data team has expertise across engineering, analysis, architecture, modeling, machine learning, artificial intelligence, and data science. This discipline is responsible for transforming raw data into actionable insights, building robust data infrastructures, and enabling data-driven decision-making and innovation through advanced analytics and predictive modeling.
Responsibilities:
Develop the architecture for the data pipelines and implement it using Python/shell and Microsoft SQL Server Integration Services (SSIS)
Collaborate with the data architect to create and maintain source to target mapping documentation
Identify, document, and develop measures to visualize and record source data and data pipeline quality objectives
Experience with data migration projects between systems hosted in different hosting environments (on-premises, AWS, Azure, etc.)
Contribute to agile ceremonies, size tasks and deliverables
Qualifications
Bachelor's Degree or equivalent experience
5+ years of experience designing and developing data pipelines and managing data infrastructure
5+ years of experience with one or more data platforms (Oracle, SQL Server)
2 - 5 years of experience with Python and Microsoft SSIS
1 - 2 years of experience in Cloud technologies (AWS, Snowflake)
Lead experience highly preferred
Understanding of Extract Transform Load (ETL) processes
Great interpersonal and communication skills
Additional Information
Discover some of the global benefits that empower our people to become the best version of themselves:
Career Development: Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership;