Vollzeit
Data Engineer
Elsbethen, Austria
Apply now
Do you enjoy working on products that transform vast quantities of data into actionable insights?
TV-Insight is a small but rapidly growing spin-off within Red Bull providing real-time viewership prediction for TV audience measurement. Our clients are large national broadcasting stations who base their business decisions on top of our solutions.
In this exciting role, you'll support the product by designing and hardening critical data pipelines, helping in putting data science models in production environments, optimizing data access patterns, etc. If you like to work in a young and small team and want to take part in expanding the product into new markets, this job is the perfect fit for you.
RESPONSIBILITIES
Areas that play to your strengths
All the responsibilities we'll trust you with:
Data Pipeline Engineering
In this role, you'll design and implement complex data pipelines by continuously aligning with data scientists and business requirements. The pipelines are designed with a focus on simplicity and maintainability by assuring correctness and performance. Our pipelines are currently running on top of Apache Airflow with several extracted components (external REST services, cloud services, or docker containers).
Query Performance Analysis & Optimization
To provide our clients with the required insight, large quantities of data must be analysed and processed in real-time. Much of the data processing heavy lifting is performed using Google BigQuery. You'll be asked to help optimize complex SQL queries and analyze these queries to understand performance bottlenecks.
Cloud Engineering
We strive to keep operational efforts at a minimum and therefore use a large array of cloud services mostly on top of Google Compute Platform. In your role, you'll configure, monitor, and test cloud services to continuously evolve the product and make best use of available services.
Site Reliability Engineering
A big proportion of this role will also be dedicated to the area of site reliability engineering. You'll propose, design, and implement monitoring strategies with the aim to quickly detect issues in our data products. Additionally, you'll work together with the team on implementing corrective measures to keep the impact of data issues at a minimum.
Continuous Innovation
Being a small startup, we are continuously challenged to find smart and efficient ways to solve complex problems. You'll help the team identify new approaches to tackle challenging product requirements and/or help us deliver new features quicker and with higher quality.
Experience
Your areas of knowledge and expertise
That matter most for this role:
* 4 years' experience working as a software or data engineer
* Ability to design & build both maintainable as well as reliable Python code.
* English fluency
* Ability to design and implement complex SQL queries
* Experience building data processing pipelines in Python (Apache Airflow).
* Experience with test-driven development & writing well-tested software applications.
* Experience with big data solutions offered by major cloud providers (esp. Google Cloud).
* Experience with building critical software components with high uptime guarantees is a plus.
* Experience with Apache Kafka or related stream processing frameworks is a plus.
* Travel: 0-10%
JOIN THE TEAM
Got what it takes?
In your application, we want to see your personal style - what makes you tick and why you think your next opportunity is here with us.
Apply now
Due to legal reasons, we are obliged to disclose the minimum salary according to the collective agreement for this position, which is EUR2.229 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.
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