Job Description

• 3+ years of hands-on experience in a scrum team, preferable as scrum master or ambition for scrum master role,

• 2+ years of experience with either data engineering or machine learning engineer, o detailed profile description of data engineer and machine learning engineer in appendix,

• experience with SAFe,

What will you be doing:

We have made the decision to make the scrum master role part of an active DevOps engineer, this means that a DevOps Engineer in the scrum team will be 50% active as engineer and 50% as scrum master. Summarizing:

• as scrum master:

  • you are responsible for running the scrum rituals in your team,

  • you will remove any obstacles and impediments for your team,

  • support your team in continuous improvements,

  • and you collaborate with the RTE and other scrum masters in the ART.

• as DevOps engineer:

  • you are actively developing in the sprint of your own team,

  • you’ll be doing both development and operations tasks,

  • depending on the data engineer or machine learning engineer, more details are in the appendix of your day-to-day activities.

  • working on a Oracle database that is Datavault modelled,

  • and we are currently working on setting up the future platform which will be Snowflake (also the reason why Snowflake and DBT would be nice-to-have skills future facing).

How is your team organized:

The team works according to scrum in a SAFe setup, it is part of an Agile Release Train with other data & analytics teams. Characteristics fort his team:

• the team is a end-to-end team with data scientists, machine learning engineers and data engineers, working from the start of a data science model till productionalizing,

• is working fully onshore,

• with 8 colleagues in the team,

• and has a DevOps responsibility (run what you own).