Data Engineer (all genders)
at Mediaplus Gruppe
München, Bayern, Germany -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 29 Dec, 2024 | Not Specified | 01 Oct, 2024 | N/A | Good communication skills | No | No |
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Description:
Data Engineer (all genders)
We are looking for a full-time Data Engineer (all genders) for Mediaplus Insights at our Munich location as soon as possible.
As a data engineer, you will be contributing to exciting projects at the forefront of digital transformation and you will be working in innovative consumer insights initiatives and personalization measures for globally recognised brands.
What to Expect:
- You are the backend specialist for powerful analysis apps that inspire customers and colleagues alike. To do this, you will design and develop data pipelines from the data sources to our frontend applications
- You will be challenged in a variety of ways, from pure data automation to complex algorithms for our decision support systems. You will support the team in complex research projects and have the opportunity to expand your skills in the areas of machine learning, deep learning and AI
- You will work in an agile and interdisciplinary manner with front-end developers, market research experts and graphic designers. According to your DevOps focus, you are the guarantor for the reliability and performance of all applications for your colleagues
- In addition, you are jointly responsible for the hosting and further development of our in-house data framework (Mongo DB, Python), which is the basis for many of our applications
- In addition to working with data frameworks, you will support the development of AI solutions on your own GPUs as well as in cloud-based environments for scaling. In doing so, you will place great emphasis on a smooth deployment process and the efficient use of resources
- You can expect to work with the latest database systems and programming languages, a very powerful server environment, exciting projects in the field of artificial intelligence and a huge amount of interesting data. A mentor will guide you through your first steps in our infrastructure and your first projects (on-the-job training), and you will also complete a training course for our data framework
What We Expect from You:
- Professional:
- You have a degree in computer science, statistics, engineering, social sciences, natural sciences or a comparable education
- You are familiar with the possibilities of various database systems and are particularly familiar with Mongo DB and SQL. In addition, you have some practical knowledge of complex data pipeline management and are able to write accurate, maintainable and robust code in Python (preferred) or comparable languages
- You are always aware of the requirements of data processes and can scale even very large amounts of data to achieve the desired analytical result. Ideally, you have already gained some experience in interface development and in the fields of machine learning and deep learning (studies/practice)
- You have already worked with version control systems such as GitHub or comparable tools and have experience in the efficient use of coding assistants
- You have experience in server hosting (Nginx, Linux, Bash scripting, deployment automation), knowledge of microservices and container virtualization (e.g. Docker / Docker Swarm, Kubernetes / K8s), as well as in integrating cloud services like AWS or Azure is an advantage
- You possess excellent analytical skills, understand even complex tasks quickly and proactively bring in new thoughts and ideas
- Personal:
- Strong Interpersonal Skills: You should possess excellent communication and interpersonal skills to effectively engage with colleagues and clients from diverse backgrounds.
- Open-Mindedness: You must be open-minded, adaptable, and willing to embrace different perspectives and ideas to foster a collaborative work environment.
- Team Spirit: You should enjoy working in a team setting, actively participate in team activities, and contribute to a positive and inclusive workplace culture.
- Social Enthusiasm: You should have a genuine enthusiasm for social interactions, including attending and participating in team events, meetings, and social gatherings.
- Positive Attitude: You should bring a positive, fun-loving attitude to the workplace, helping to create a friendly and supportive atmosphere for all colleagues.
What We Offer You:
- Onboarding: With personal mentoring and digital onboarding sessions, we ensure your perfect start
- Further Education: Your development is important to us. Whether through our internal campus training program to expand your technical, methodological, or personal skills, voluntary language courses, or regular coaching sessions – we keep you up to date
- Flexibility: With flexible working hours, mobile office, and job-sharing models, you can adapt your job to your life – and not the other way around
- Fun: Who works must also take a break – with us, you have plenty of opportunities through regular after-work and team events (also virtual if necessary)
- Sports: Extensive sports program as well as mobility through agency bicycles and e-bikes/e-bike leasing
- Accessibility: Our modern office in Munich’s creative district is perfectly located and easily accessible
- Internationality: As an internationally operating agency group, you have the opportunity to network and exchange ideas with colleagues from various disciplines around the worldThe programming team, who are two data scientists and two data engineers, is a specialized group dedicated to developing advanced big data solutions, intelligent analytical frameworks and innovative AI applications. We work on a variety of projects in an agile way, so we are constantly continuously exchanging expertise, regularly sharing professional approaches, learning from and with each other. Our positive and engaging work environment encourages exceptional results and turns visionary ideas into useful products through a mix of technical expertise and inventive thinking.In the day-to-day dynamics of a media agency, the Insights department is the cornerstone for sound data and information processing for media decisions and strategic planning. This department comprises six specialized teams each contributing to a culture of cooperation and cross-team collaboration. Our diverse international colleagues bring a wealth of perspectives and expertise, enriching our work environment. Central to our operations are agile working methodologies, which ensure we remain flexible and responsive to the fast-paced demands of the media landscape. This approach fosters seamless integration and fluid communication between teams, cultivating an atmosphere where innovative ideas can flourish and be promptly implemented.The Mediaplus Insights department offers two distinct career paths to support professional growth: the Expert Career Path and the Leadership Career Path.The Expert Career Path focuses on specialization and mastery, enabling professionals to immerse themselves in advanced training, cutting-edge research, and continuous skill development. Experts are integral to enhancing the department’s analytical capabilities, driving best practices, and setting industry standards.The Leadership Career Path is designed for those passionate about guiding and inspiring teams. Professionals on this trajectory will develop strong managerial and strategic skills, oversee multiple teams, and foster a collaborative environment. Leaders play a crucial role in steering the department towards its goals, mentoring talent, and shaping the agency’s future direction.
Interested?
Then we look forward to receiving your detailed application documents, including your salary expectations and earliest possible starting date.
We are proud to create unforgettable brand experiences and ensure that end customers truly feel and engage with the brand, leaving a lasting impression. Join our team and help us shape the future of marketing!
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Responsibilities:
Please refer the Job description for details
REQUIREMENT SUMMARY
Min:N/AMax:5.0 year(s)
Information Technology/IT
IT Software - Application Programming / Maintenance
Software Engineering
Graduate
Proficient
1
München, Germany