Your Career at Data Insights
Data Insights is always on the lookout for both fresh talent, as well as seasoned professionals. We are a young international team and are looking for personalities who have the courage to go one step further and who are curious and keen to learn. We are hiring people who are eager to progress personally and professionally and would like to contribute by adding to the Data Insights team. Our business divisions focus on information management, data analysis, data engineering, and management consultancy, all within the scope of Big Data IT.
Whether you have just graduated from university, or have already amassed plenty of professional experience, we have no doubt that there is an exciting job opportunity waiting for you at Data Insights.
What you can expect from us?
Continuous Training
Every year, a minimum of 10 days will be dedicated to trainings and certifications.
Start-Up Culture
We offer flat hierarchies, a flexible working environment, autonomy and fast growth.
30 Days Vacation
Work hard, play hard. Everyone needs downtime, and we encourage you to enjoy it.
Competitive Market-Based Salary
Everyone is paid fairly. We base pay on market standards and personal performance. In addition, everyone has clear, agreed-upon annual objectives that are linked to bonuses.
Leadership Opportunities
We will enable and support you to become a leader. We will work with you to maximise your potential and to help you achieve your individual goals.
Team Events and Big Celebrations
Every month we get together to have a company dinner, which allows us to catch up on a regular basis. We also put on major celebrations for summer, Octoberfest and end-of-year parties.
Newest Equipment
It is important to us that your equipment is tailored to your needs and is up to date.
Interesting Projects
We can offer you exciting challenges - with us you will be able to participate in successful projects with well-known customers.
Relocation
We are based in Munich. If Munich is new territory for you, we will help you find your way around and support you in all the necessary steps.
Great Team
We enjoy working together and aim at creating a supportive environment for our team of top-class team data scientists, data engineers and information management specialists to work together.
Urban Sport Club
We are pleased to offer our team members a membership with Urban Sports Club. For your health and fitness it allows you to pursue various kinds of sports.
What we expect from you
Motivation and passion
We are looking for talent who shares our passion for data. High self-motivation and a passion for the profession are very important to us.
Eagerness to progress and learn
Working in the data domain is about being eager to learn and an ability to adapt to the constant changes in new methods and technologies.
Presentation skills
Whether it is for a client project, an internal event, or a conference: as a consultant, you need strong presentation skills.
Willingness to travel
While most of our projects are in Munich, you may be required to travel anywhere within Germany, or potentially to neighbouring countries. In line with the growth of our company, we are also interested in attending to customers abroad.
Communication in both German and English
It is important for us that everyone in the team is able to communicate in both German and English. For our international colleagues we are offering weekly German classes.
Social Days
Social commitment is something we care about and we want to give back to society. This is why we expect our team members to volunteer for three days a year.
Apply now
Senior Azure Cloud Architect/Engineer (m/f/x)
- System’s architecture design for applications in hybrid and public clouds
- Set a transformation path to help customers in their cloud adoption
- Implementation and automation of deployments using infrastructure as code
- Application and data migration from on premises to the cloud
- TCO and ROI analysis
Senior Data Scientist (m/f/x)
- Analyse und Verarbeitung großer Datenmengen
- Entwicklung von KI- und Machine Learning-Modellen basierend auf unterschiedlichen Datenquellen
- Produktivsetzung von Lösungen und Eingliederung dieser in die IT-Architektur
- Kundennahe Aufgaben an der Schnittstelle zwischen Business und Technik, inklusive Anforderungsanalyse und der Teilnahme und Moderation von Workshops und Meetings
- Projektrollen als Team- und Projektleitung, Architekt oder Spezialist für Data Science
- Mitgestaltung unserer Strategie für den Bereich Data Science
Senior ETL/Integration Developer – Ab Initio (m/f/x)
- Working on Ab Initio projects in various industries
- Understanding client’s requirements
- Analyse data sets and data models
- Test graphs/plans
- Solve data gathering issues
- Troubleshoot jobs and fix failures
- Design efficient and reusable ETL solutions
- Review code
ETL/Integration Developer – Ab Initio (m/f/x)
- Working on Ab Initio projects in various industries
- Transfer business requirements into technical contexts
- Analyse data sets and data models
- Database, ETL, Application or Web Service development
- Test graphs/plans
- Solve data gathering issues
- Troubleshoot jobs and fix failures
- Create ETL tracks
Senior Big Data Engineer (m/f/x)
- Competent handling of data, algorithms, and numbers
- Hadoop, NoSQL, Kafka, or Web-Service development
- Daily work with agile project management tools (ex. SCRUM, Kanban)
- Parallel, Batch and Stream-Processing
- Design and develop Lambda/Kappa Architecture
- Software development
- Design and develop real-time Data-Driven products
- Project implementation on the Cloud
Junior Big Data Engineer (m/f/x)
- Database, ETL, Application or Web Service development
- Data modelling, Data Warehousing and DataVault
- Parallel, Batch and Stream-processing
- Working with data, algorithms and numbers
- Software development
- Design and develop real-time data driven solutions
Senior Cloud Engineer (m/f/x)
- Independent and result-oriented solutions of problems
- Design and deliver architecture implementations in AWS, Azure or GCP
- Automation of deployment processes and continuous integration
- Design and develop cloud-native distributed systems, container orchestration platforms and serverless architectures
- Hybrid deployments with high availability, fault tolerance and disaster recovery plans in place
- Learn and use state of the art cloud technologies