Data Engineer - Gothenburg

Veritaz is a fast-growing IT-consultant firm. Our company is made up of insanely bright people from over 4 countries, and we are located in Sweden, UK, US and Pakistan. The voyage has been incredible this far, but it is only the beginning.

Assignment Description:

We are looking for a Data Engineer who is experienced in DevOps tools like GitLab, Gerrit, Jenkins and Microsoft Azure data warehouse solutions.

Do you value openness, transparency, and empowerment? Our squad is high performing cross-functional team who are set with a mission to provide win-win exchanges for our customers.

What you'll do:

● Develop software in a cross functional, international agile team, in a creative, innovative, and interdisciplinary environment.

● Access Petabytes of data coming from both our customer fleet and from our AD test fleet, and you will use big data technologies delve into this data.

● Complement and enhance our vehicles, enable new business models, and increase the pace of innovation throughout the enterprise.

● Deploy your applications in our on-premises cluster and in the cloud and run them on Petabytes of data.

● Help our senior leadership in defining the technical vision of the organization and in managing the collaboration with project partners.

● Collaborate in a team that enables easy access of the data available for analysis.

Who you are:

● Have the possibility to be an expert and pro-actively stay updated on the state-of-the-art in technologies and best practices within the field of data engineering.

● Have a master’s degree in Computer Science, Electronics Engineering, or equivalent area of education and must have relevant working experience.

● Proactive and take initiative instead of waiting for instructions and have proven fast learning skills and enjoy taking complex challenges.

● Expertise in leverages DevOps techniques and Experience with DevOps tools like GitLab, Gerrit and Jenkins.

Excellent communication, teamwork skills, inter-personal and Organizational skills.