Senior Data Engineer - Machine Learning
Your favourite drink? Regardless of what it is – it could well be that it was manufactured with the aid of our digitalization solutions.
Why? Because Syskron GmbH is a proud part of Krones.digital – an international community of digital experts within the Krones Group. We are fans of cutting-edge technologies and develop innovative services and solutions that are used in every fourth beverage bottle worldwide. We are all united by the mission to do more than just tick boxes on to-do lists: We want to create real added value for our customers and optimise beverage and liquid food production wherever there is still room for improvement, thereby making our contribution to a sustainable and better future.
Yes, that is ambitious! But we have a plan to make it happen: With people who seize opportunities, are passionate about their ideas and believe in the power of our team. With an open ear, respectful dialogue and mutual support – in the office, from home, from anywhere in the world. With creative freedom and an inspiring environment that drives you forward and helps you to develop personally. That gives you security and leaves room for your life outside work.
Let's create impact beyond tomorrow – are you in?
Your tasks
- Based on stakeholder needs and system requirements you design and build efficient data architectures for storage and processing to enable the implementation of AI solutions.
- In the context of AI use cases, you monitor and manage all aspects of system security, performance, storage, incidents, usage, backup and recovery for databases, AI-applications, and infrastructure on AWS.
- You build and automate the needed infrastructure required for our machine learning pipelines and ETL processes using infrastructure as code (IaC).
- You work closely with product owners and our Data Scientists to understand their data needs and how to best meet them.
- You take responsibility implementing data engineering best practices within the AI team and raise awareness among different stakeholders.
- You develop software with high code quality (reliable, maintainable, efficient, secure, thoroughly documented and tested).
- You manage data flows in the cloud, build scalable pipelines and visualize them.
- In consideration of performance, robustness and costs, you optimize and improve existing infrastructure, feature- and data processes.
Your profile
- You have several years of experience with data modelling and data engineering for data- & compute-intensive applications as well as working proficiency in batch and streaming technologies.
- You have deep knowledge on conventional and big data storages and access with methods, solutions and tooling (e.g., SQL, Elastic stack, Spark, ETL tools, …).
- You have experience as a data engineer with good knowledge in cloud-based services, programming with Python, working with big data technologies like Hadoop/ Spark and working with container technologies like Docker, Kubernetes, …
- You have hands-on experience in designing, building and managing data pipelines, while following best practices for security, CI/CD and monitoring and alerting.
- Ideally, you have an ‘AWS Certified Data Analytics - Specialty’ or an ‘AWS Certified Database Specialty’ certificate
- In addition to your strong team spirit, you have a motivating and supportive personality.
- Communication is easy for you in German as well as in English, as you are fluent in both languages.
Your application
If this sounds interesting to you, we really would like to get to know you!
You can submit your application in German or in English.
Do you have any further questions? For more information please call +49 9431 79857-1111.
To be able to process your application efficiently and promptly, we would kindly ask you to use our online form.
Locations
Regensburg (Maximilianstraße), Germany
Maximilianstraße 29
93047 Regensburg
