(Senior) Data Engineer (all genders)

What you will find with us

We are a technical, implementation-oriented spin-off of a global management consultancy. Our clients are primarily DAX and Fortune Global 500 companies, which we advise on issues in the areas of analytics, big data and machine learning. Within the group, we take on the development of individual and data-driven solutions in order to transform our clients into AI-powered companies. We offer an international working environment with agile teams and creative startup methods as well as above-average remuneration and numerous additional benefits. With our HQ in Hamburg, offices in Munich and Düsseldorf and our hub locations in all other major German cities (Cologne, Berlin, Frankfurt and Stuttgart), we ensure that all colleagues are integrated into our team of experts across Germany.

As part of our Data Engineering team, you work on customer-specific solutions:

• You are responsible for the development of interfaces to existing data sources (SQL, file, API etc.)
• The development of data preparation, aggregation and cleansing pipelines (ETL) is also part of your tasks
• The documentation of data structures in a data dictionary is a matter of course for you
• As well as the storage of data in a central data store (SQL, No-SQL, etc.)
• You will develop RESTful API services using established frameworks and standards (Flask, Swagger)
• You will be responsible for writing automated tests and documentation, as well as implementing CI/CD pipelines
• You take care of the deployment in different cloud environments, mostly based on container technologies (Docker, Kubernetes, OpenShift) or native cloud services (e.g. serverless)

Who you are

• You have at least two years of experience in software development in an industrial environment and are up for the next big challenge
• Profound knowledge of Python, including libraries relevant to data science, is a prerequisite
• Knowledge of Machine Learning methods and other languages such as Java, Scala or Kotlin is an advantage
• You have experience with SQL (Postgres, MySQL, Oracle) as well as No-SQL (Mongo DB) databases
• You are familiar with orchestration tools such as AirFlow and Big Data processing technologies such as spark or Beam
• You already have experience with container technologies and micro-services, as well as cloud technologies (AWS, Azure, Google Cloud)
• You are a true team player and enjoy communicating in German (at least B2) and English
• You have a high level of result and customer orientation and are willing to travel for projects from time to time

Who we are

• At our company you will find an exciting job in the AI environment
• Flexible working hours and locations such as home office are a matter of course for us
• A familiar culture, short communication channels and lots of great, experienced, international colleagues who are always there to support you 
• Company-wide, international events that are well worth seeing
• Company bike and subsidisation of your fitness membership (EGYM Wellpass)
• Targeted and individual training for your professional and personal development
• A central location in Hamburg's,Munich's and Düsseldorf's city centre with good transport links (bus & train), as well as hub locations in all other major German cities
• Daily fresh fruit, good coffee, snacks, soft drinks & after-work beer

 
Have we caught your interest? Then we look forward to receiving your application!

Contact

Carolin Hilden - career.de@eraneos.com - +49 40 809 081-172

Our top priority is that you fit us and we fit you, regardless of origin, nationality, sexual orientation, religion, gender identity, age, handicap or other aspects of diversity.

Our dedicated HR Team will be happy to provide you with further information and is looking forward to receiving your CV and / or your complete and expressive Linked in / Xing profile.

Are you interested in what our employees and other applicants say about us? Visit us on Kununu and follow us on social media to not miss the latest news about us.
Eraneos Germany als Arbeitgeber: Gehalt, Karriere, Benefits (kununu.com)