Data Engineer in Salzburg

Company Description

Are you passionate about data in the field of media activities?

Then this is your chance to become part of our team. We’re looking for a talented and experienced data engineer, who wants to be part of this journey to shape the media data landscape, helping Business teams to uncover new opportunities and to build data products that deliver tangible business value.

We, as Media Technology & IT department, are responsible for all media technology within the Red Bull Media House. We operate over a hundred different applications and tools;

from our self-developed media platform to one of the most technically advanced TV studios in Europe. Data and Data driven decisions are an essential part of this setup.

Job Description

DEVELOP AND MAINTAIN DATA PRODUCTS

In this role, you'll understand business demands to build the right data products enabling business units to make informed decisions in the field of media marketing.

DRIVE AND ENSURE A PROPER DATA ARCHITECTURE

Additionally, you'll lead data architecture and engineering within the PEMO scope, ensuring alignment with business requirements and industry best practices.

MANAGE DATA INTEGRATION AND WORKFLOWS

You'll establish and continuously improve data integrations and workflows, particularly in the media marketing setup.

DATA DRIVEN ORGANISATION

To remain successful as an organization we need to continue our journey growing as data driven organization. In your role, you'll work with other teams to shape the PEMO technical landscape and integrate data systems effectively.

TEAM & COLLABORATION

Last but not least, you'll be a strong & communicative member of our department to drive our data journey by building (big) data setups and architectures as well as inspire other team members to think and evolve into this direction.

Qualifications

At least 3 years of practical experience in the field of data, data modelling and data driven decisions

Data or media technology focused education or equivalent work experience

Fluent in English, German is a plus

Strong experience with (big) data technologies and best practices managing large datasets

Very good communication and organization skills

Proficiency with data modelling and engineering, Big Data, ETL / ELT, SQL, DDD

Persistent, systemic and analytical thinking with an attention to detail

Experience in media data setups (recommended)

Additional Information

Due to legal reasons, we are obliged to disclose the minimum salary according to the collective agreement for this position, which is €2.

229 gross per month. However, our attractive compensation package is based on market-oriented salaries and is therefore significantly above the stated minimum salary.

As an employer, we value diversity and support people in developing their potential and strengths, realizing their ideas and seizing opportunities.

We believe passionately that employing a diverse workforce is central to our success. We welcome applications from all members of society irrespective of age, skin colour, religion, gender, sexual orientation or origin.