You Love Building Bridges? Between Challenges and Solutions? Between Doers and Skeptics?

Data Engineer / Machine Learning (all genders)

Career Level

Professionals

Division

Consulting / Project Management / Systemintegration

Location

Stuttgart

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Parsionate advises companies, unlocks their potential and works with them to invent entirely new solutions – all on the basis of data and what it has to offer. We call this data leadership. We leverage our expertise to focus on the benefits and successes we generate for our customers and partners, which is exactly why Parsionate works end-to-end: we are by our customers’ side from strategy development to full technological implementation. All this is what our more than 200 experts are working on at our Parsionate locations across Europe. Why not join the team?

Your skillset:

You have completed your studies in computer science or a comparable education with enthusiasm
You have several years of practical experience as a data engineer with a focus on machine learning
You know and use the current technologies for operating data science solutions in the cloud (Docker, Kubernetes)
You bring in-depth knowledge of common big data technologies (Hadoop, Redis, NoSQL, Spark) and their implementation in the cloud (AWS, Azure or GCP) to the role
Ideally, you have experience with common data science stacks (Python, Tensorflow, Keras, Sklearn or Mlflow) and knowledge of common software tools (Git, PyCharm)
You have in-depth knowledge of current programming concepts such as design patterns or data structures. When you think of a CD, you don't first think of an outdated storage medium
You are enthusiastic about DevOps topics
You are open, communicative and a real team player
German and English - you are proficient in using both

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What you can expect:

Together with our data scientists, you will make innovative machine learning solutions fly and thus improve the customer experience in established and young companies
You use dashboards to make data efficient, understandable and visualize it with state-of-the-art technologies
You monitor, maintain and expand our AI infrastructure in the cloud
You have access to the innovative solutions in terms of data science, cloud and data storage
An agile work environment in which you help decide which tasks you tackle
You build up an integrated view of end customers across all touchpoints of the customer journey
A gym around the corner, entitlement to a job bike and many other benefits

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Job Title Data Engineer / Machine Learning (all genders)

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The Parsionate Triangle

The relationship you create with Parsionate is multifaceted and pivots on three main axes: purpose, journey and family. It’s not a good match if only one or two of them work for you, because it’s the interplay of the three dimensions that defines us – and your job.