What we offer
Develop your professional career working with one of the biggest brands in the fashion industry;
Interact with senior stakeholders at our clients on regular basis to drive their business towards impactful change;
Work as a facilitator within our Agile environment and be responsible for managing the exchange of information between team members;
Become part of a fast-growing international and diverse team;
What you will do
Design, develop, implement, automate & monitor CI / CD / CT pipelines for an Azure based Data Platform;
Establish and enforce DevOps best practices such as automated testing and deployment strategies;
Keep up-to-date with emerging data technologies, trends, and best practices, and make recommendations for their adoption within the organization's DevOps ecosystem;
Mentor and provide technical guidance to other data professionals, fostering a culture of knowledge sharing and continuous learning;
Be proactive and be willing to work closely with Data Engineering, Data Science, MLOps & Cloud Infrastructure teams;
What you will bring
3+ years working experience as Azure DevOps Engineer in the field of Data & Analytics or in a similar role;
Extensive knowledge of Microsoft Azure is required;
You're proficient with scripting languages (e.g. Python, YAML, git, bash, PowerShell, );
You're proficient with CI / CD tools (e.g. Azure DevOps Pipelines, GitHub Actions );
You have experience with testing & data quality (e.g. pytest, great expectations, etc.);
You have experience with containerisation and orchestration technologies (e.g. Docker, Kubernetes, );
You have experience with infrastructure as code (e.g. Terraform, );
You have experience of working in an Agile environment (e.g. Scrum, );
Certifications in Azure are a plus. (e.g. Azure DevOps Engineer Expert, Azure Solution Architect Expert, Azure Data Engineer Associate, ...);
Being familiar with software engineering best practises in coding, software design patterns, testing & debugging are a plus;
Being familiar with DataOps principles in observability, monitoring, & incident reporting are a plus;
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