Level: Senior

Job Field: Software, Data

Employment Type: Full Time

Contract Type: Permanent employment

Location: Vienna

Working Model: Hybrid, Onsite

Job Summary

In this role, you will develop complex data processing pipelines, define modern data architectures, and work with cloud technologies, particularly Microsoft Azure, to deliver data-driven solutions across various industries.

Job Technologies

Your role in the team

We are a young consulting company with a team of talented data engineers, architects, and data scientists specializing in building cloud-based data platforms and AI/ML solutions for our customers.
Our customers, with which we have strong relationships and multi-year contracts, include well-known companies in the areas of energy providers & utilities, retail, financial services, and mobile apps.
Our projects always involve applying cutting-edge cloud technologies to exciting real-world data.
We are looking for Data Engineers whom we can trust to do great work on their projects because they are motivated by the challenging nature of the projects themselves.
We are also looking for people from whom we can learn and who are willing to learn with us, to always stay on the cutting edge with our technical skills.
Challenging projects with well-known companies in various fields as customers.
Young and highly motivated team.
Great emphasis on education and trainings with dedicated time on the job.
Opportunity to use the newest technologies for data storage and processing.
Working flexibly from home or the office.
Support with relocation to cities where we have our offices.
Company phone and laptop.
Annual ticket for local public transport.

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Our expectations of you

Qualifications

Good analytical and problem-solving skills, critical thinking, and an ability to explore and understand customers’ technical ecosystems and data, as well as an ability to communicate complex technical problems and their solutions clearly.
There is no strict requirement regarding knowledge of any specific languages, as each project may require us to adapt to the customer's existing technical landscape.
Commonly used languages include Python, C#, Scala, and various dialects and procedural extensions of SQL.
Deep understanding of modern cloud-based data architecture and cloud services, preferably with Microsoft Azure.
Readiness to travel.
English and German proficiency.

Experience

Experience in programming and a demonstrable ability to learn new programming languages.
Experience with Spark and the Hadoop stack is an advantage.
Experience working with various databases (SQL and NoSQL).
Experience in building data processing pipelines and defining data architectures.
5+ years of experience in a similar role.
Experience working with data scientists and a good understanding of their needs.