azure data Engineer
As a data engineer, you aim to work hands-on in designing & creating data architectures for the machine learning solutions we build. Every mission we'll embark in will have concrete deliverables and a deadline; this means we can guarantee you a variety of engagements across clients & industries.
You'll be responsible for
(1) designing & building data architectures including the design & set-up of scalable (big) data lakes (full cloud or hybrid cloud), scheduled transformations & data governance
(2) working hand-in-hand with the data scientist deploying machine learning as scalable API services in a perfect fit with the data architecture
(3) assisting the project team in deploying data applications including, if needed, close-to real-time architectures
You will work (standalone or in team) with clients and have a responsibility on managing project timeline, status meetings and client coaching & training.
Your overall responsibilities:
- Architect, develop and deploy (both hybrid cloud & full cloud) data architectures in Microsoft Azure
- Act as data engineer expert on the latest trends in the data analytics landscape and share best practices with the internal team
- Leverage Open Source technology in building scalable and best-practice set-ups
- Inspire customers with insights & opportunities on new data-driven use-cases
- Work with external vendors and partner technologies including (but not limited to) Azure
- Embrace project management aimed towards getting the job done. This will include working with client data engineers and data scientists but also business stakeholders
- Be an on- and offline ambassador for the element61 innovation team
