Company Description
We're a leading Investor Services group offering end-to-end services in administration, accounting, reporting, regulatory and compliance needs of the investment sector worldwide. We employ a global workforce of 5,800+ people across 25 jurisdictions and have assets under administration (AUA) exceeding US$750 billion. We work with 13 of the world's top-15 private equity firms.
Our services are underpinned by a Group-wide commitment to ESG and best-in-class technology including a global data platform and innovative proprietary tools supported by in-house experts.
Above all, what makes us different is our people. Operating as trusted partners to our clients, we deliver intelligent solutions through a combination of technical expertise and strong relationships based on deep client understanding.
We're driven by our Group purpose, to power people and possibilities.
Responsibilities
We have a fantastic opportunity for an experienced Data Engineer to join our global team. This technical role will play a major part in the delivery of our Group Data Strategy and Data Transformation Journey by delivering, enhancing, and maintaining our IQEQ Data Platform which will drive how our data is managed and used to deliver outcomes in a host of key areas to maximise business value and growth delivering improvements for internal and external stakeholders and clients.
This is a deeply technical, hands-on role requiring an experienced practitioner who will get directly involved in expanding and optimizing our data pipeline architecture. We need a proven data engineering professional with extensive, current experience in building and managing complex data infrastructures. The ideal candidate will have a track record of rolling up their sleeves to construct, troubleshoot, and refine data pipelines through direct, practical work.
You will actively support our software developers, database architects, data analysts, and data scientists by directly implementing data initiatives, not just strategizing. Your day-to-day responsibilities demand practical, technical expertise in data wrangling, with a proven ability to navigate and leverage significant data assets to build optimal production-ready models.
You will ensure optimal data delivery architecture is consistent throughout ongoing projects and you must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products.
Tasks (what does the role do on a day-to-day basis)
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