(Senior) Big Data Engineer (m/f/d)

## Your Profile, Your Conviction

• Degree in the field of computer science or an economics degree with a technical background
• The challenges of processing large amounts of data and data-driven processes based on current big data technology interest you and drive you forward
• You are willing to constantly learn new things in programming
• You are familiar with the components of Continuous Integration and DevOps as well as cloud infrastructure (AWS or Azure) and container architectures
• You have several years of experience with distributed computing and processing of large amounts of data and relevant programming experiences in at least one programming language, such as Python, Scala, or Java
• You have relevant experience with SQL and NoSQL databases
• You have specific experience and knowledge in several industries
• Fluent in English and German
• You bring strong consulting and communication skills as well as the ability to work independently and as part of a team
• You enjoy creating and designing and have a high level of customer orientation
• A preference for working with innovative tools, methods and the latest technologies round off your profile

## Our Offer, Our Promise

• An agile and innovative environment with exciting customer projects in different industries
• Fast growing company with a start-up character, embedded in a stable international group of companies
• Cross-functional teams with experienced and inspiring colleagues
• Uncompromisingly professional equipment for efficient and joyful work
• Free space for continuous learning and further development
• Attractive remuneration with performance-related bonus payments
• Flexible work in order to reconcile work and private life ("work-life-flow")
• *Have we sparked your interest? Are you curious? **

Then become a part of LPDG and drive the digital transformation together with us!

We look forward to receiving your complete application documents stating your salary expectations and your earliest possible starting date by e-mail to [******](https://mailto:)