Azure DevOps Engineer

Be part of a team of highly skilled DevOps Engineers focusing on Data & Analytics!

Wat ga je doen?

As a highly skilled DevOps Engineer you will be working together in our Agile (Scrum) team to innovate and maintain all the needed Data & Analytics services. You will manage and improve our Data and Analytics (DnA) platform(s) which is a set of data services and tools setup that are hosted in the Microsoft Azure Cloud aiming to support our analytical ambitions. Your focus is to maintain and enable the central data services for realizing data driven use cases by the different data teams within the organization.

As a DevOps Engineer you will manage and build pipelines for automatization of our environment using Azure DevOps. You will help to realize an “Infrastructure as code” DnA environment. Primary tasks are to manage Azure services like Azure SQL Database, Azure VM’s and Databricks that host central data services for the organization like: Master Data Management, data integration (ETL - Talend/ Qlik), data virtualization and our data catalogue software. Besides managing the environment you will contribute by maintaining security and optimizing (cost) performance of the services used. An idea of what this job looks like:

What makes this a unique position?

• Working in a small team handling a great stack of data products setup in the Azure cloud.
• You will be involved in the important DnA platform(s) of Tata Steel which helps optimizing steelmaking from an analytical point of view.
• Innovate by making use of Microsoft Azure and the DevOps way of working.
• The freedom to solve different types of problems in your own way and experiment and search for improvements
• Be part of a Scrum team where we proceed on an Agile way. Working together in an open environment with respect to listen to each other and discuss and share your ideas .

Herken jij jezelf hierin?

You have excellent problem solving skills; like to work on innovative topics and be part of a team of experts. Ideally you are an experienced DevOps Engineer having worked in a similar environment working on realizing infra as code and monitoring the services in the cloud. You are familiar with SQL, Linux, Python, CI/CD & Azure. But, experience does not tell everything, so please feel invited to apply if you at least bring:

• A bachelor degree, preferably in IT and at least 3 years experience as an Azure Engineer in an Agile (Scrum) environment
• At least certified on Azure Foundation AZ-900 and/or Azure Administrator Associate AZ-104
• Experience in CI/CD and Microsoft Azure (DevOps) and working with development teams and stakeholders
• Experience with managing Linux (RHEL) based servers, Windows Server (2012, 2016, 2019) based servers and in Database administration (Oracle, MS SQL, DB2)
• An interest in Data Analytics and the concepts that come with it

Please note: we are not in the position to relocate people for this role, so please only apply in case you already live in the Netherlands.

Wat bieden wij jou?

• One-year contract with the possibility to permanent.
• A salary that depends on your education and experience up to €7409,08 gross per month.
• Very interesting secondary terms such as a variable profit sharing and a fixed end-of-year bonus of 2% and 8% holiday allowance.
• minimum of 25 vacation days and 11.5 days ADV.
• Flexible working hours and a good work/life balance.
• A wide range of development and growth opportunities within Tata Steel.
• A role in which you can be a company expert by bringing forth technological insights based on detailed research analyses. These insights are utilized in innovative process and product development projects.

Wat is jouw werkomgeving?

Our team:

The Data and Analytics Platform team consists of 8 experts (including Product Owner and Scrum master) and is one of the Digital Technology Platform teams within the Tata Steel Netherlands IT department. The team members (internal and external) are having a different technical background that come together when building the Data Platform(s) by combining and learning from each others knowledge.