Data Engineer
Scigility builds custom data services and products with a holistic offering that covers architecture, platform engineering, data engineering and implementation of ML applications.
Your Tasks
- Apply knowledge of programming, machine learning, and data modeling to build production-quality analytical solutions
- Design and develop both bare-metal and cloud-based analytical solutions, leverage state-of-the-art technologies, tools and algorithms
- Write and tune complex near-real-time and batch data pipelines with Spark, Flink and Kafka Streams
- Work closely with customers and other stakeholders in an agile environment that lead to optimal value extraction from the data
- Review, audit and troubleshoot existing solutions and system architectures
- Explore available technologies to provide business support to our clients
- Get involved in Scigility internally, e.g.: Provide input to help shaping our technology strategy, Do tech sessions to promote sharing internal knowledge, Participate in pre-sales activities, Be a mentor for new-joiners
- Note that your exact responsibilities can vary between different projects. If that sounds exciting to you, you have come to the right place!
Scigility in a Nutshell
- A team of 20+ highly motivated engineers with diverse backgrounds
- A motivated and friendly environment, everyone just a chat message away to collaborate anytime
- High diversity and multiculturalism, equal opportunities
- Monthly company all-hands meetings to foster a positive team culture
Your Profile
- University Degree in Computer science or equivalent
- Valid Swiss working permit or EU citizenship
- 2+ years of industrial experience as Software Engineer/Developer
- Ability to write production-quality object-oriented code in at least one of the modern OOP languages (e.g. Python, Java, Scala)
- Good understanding of machine learning theory and practice (feature engineering, regularizations, hyperparameter tuning, ensemble methods, neural network architectures)
- Experience with big data ecosystems, advantageous: Spark, Kafka, Hadoop
- Knowledge of real-time processing systems like Spark Streaming, Flink and Kafka
- Knowledge of cloud technologies
- Experience dealing with large, poly-structured volumes of data and a good understanding of the entire value chain within the field of data analysis
- Proficient with Linux
- Strong command of English, German is a plus
- Willingness to travel
- Strong problem solving skills & ability to learn in a fast-paced environment
- You are a proactive team player with the ability to work independently and accurately in interdisciplinary projects
Top 10 Scigility Benefits
We are proud of our benefits because we exemplify what’s written here. You're welcome to talk to our team.
Your own IT equipment
Annual IT budget and home office equipment of your choice
There is (almost) no boss
Flat company hierarchies and independence. Approaching colleagues indirectly and exchanging ideas about best practices are highly welcomed.
Possibility to work remotely
You can choose to either come to the office or work from home
The world is yours!
Flexible working hours, a great deal of autonomy and individual responsibility
Continuous learning
You can invest up to 20% of your working time in further education on company costs
Career development
Career framework with a clear development path
Fairness
Transparent salary structures and compensation including annual performance bonus
Great Team
A team of highly motivated engineers with diverse backgrounds
Monthly company all-hands meetings to foster a positive team culture
You are not alone
A motivated and friendly environment, everyone is just a chat message away to collaborate anytime
Everyone is equal
Great diversity and multiculturalism, equal opportunities for everyone
Scigility Switzerland AG
Europaallee 41
8004 Zürich, Switzerland
+41 44 214 62 89
contact@scigility.com
Our Memberships
