Job
- Level
- Senior
- Job Field
- Software, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Hamburg, Stuttgart, Tübingen, Berlin, Dusseldorf, Munich, Fürth, Essen
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you analyze customer requirements, develop solutions for Data Analytics architectures using Python and SQL, and work on Data Engineering projects leveraging the latest cloud technologies.
Job Technologies
Your role in the team
- As part of pre-sales activities, you qualify tenders from a technical perspective, analyze customer requirements, assess feasibility, and assist in the creation of proposals related to standard elements with increased complexity.
- You support the acquisition of new projects, lead workshops, and proactively identify optimization and business opportunities during ongoing projects. Additionally, you participate in subsequent sales activities.
- You communicate at the professional level of the client side.
- You lead subprojects and ensure efforts are in line with (project) specifications within a designated task area.
- In the project, you will work on implementing solution components or functional modules of data analytics architectures.
- You participate in the conception, design, implementation, testing, and consulting, and support the implementation of solution components or functional modules.
- You primarily work on projects with Python (e.g., pandas, numpy) and SQL, Jupyter, PySpark, Databricks,.... Additionally, you deal with Spark, Data Warehousing, Data Engineering, Big Data, and MLOps.
- You work with the most advanced cloud technologies (AWS, Azure, or GCP).
- You represent our company convincingly to the outside and collaborate with a wide range of industries.
- We work with both structured and unstructured data (online and offline data such as payment transactions, call center calls, etc.) and help our clients to understand their data correctly.
- Project teams typically consist of 2 to 5 members (Analysts, Engineers, Data Scientists, Project Managers) who work on both long-term projects and shorter "pilots."
- The outcome of your work optimizes business-critical functions for our clients and has a direct impact on their economic success.
- For example, we use predictive models to improve the world of online communication, monitor the quality of shelf placement with state-of-the-art computer vision, and work on fraud detection.
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Our expectations of you
Qualifications
- Bachelor's degree or equivalent
- Excellent knowledge of MS Office products Excel, Word, PowerPoint, etc.
- Excellent communication skills in at least German and English
- Teamwork skills, entrepreneurial thinking, independence, and motivation complete your profile.
- Enjoyment in working in a team and independently developing new topics.
Experience
- Extensive professional experience (at least 5 years in the field)
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Benefits
Health, Fitness & Fun
Work-Life-Integration
Food & Drink
Topics that you deal with on the job
Job Locations
This is your employer
AtosIEviden
Wien, Klagenfurt, Graz, Innsbruck, Neutal, Ternitz, Salzburg, München, Wien, Wien, Leonding, Leonding, Linz, Linz, Tübingen, Ingolstadt, Stuttgart, Pforzheim, Karlsruhe, Saarbrücken, Mannheim, Fürth, Frankfurt Am Main, Wiesbaden, Köln, Düsseldorf, Kassel, Leipzig, Essen, Paderborn, Holzminden, Hannover – Laatzen, Berlin, Berlin, Meppen, Bremen, Hamburg
Atos is a leader in Infrastructure & Data Management, Business & Platform Solutions, Big Data & Security, Unified Communication & Collaboration Transactional & Payment Services and Cloud Computing.
Description
- Company Size
- 250+ Employees
- Founding year
- 2011
- Language
- German, English
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Public Service, Unions, Industry, Production, Internet, IT, Telecommunication
Dev Reviews
by devworkplaces.com
Total
(3 Reviews)Engineering
3.7Culture
4.5Career Growth
3.8Workingconditions
4.0
Senior Data Engineer
- Location
- Hamburg, Stuttgart, Tübingen, Berlin, Dusseldorf, Munich, Fürth, Essen
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
