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- Aufgaben: Join us as a Data Engineer to transform raw data into valuable insights.
- Arbeitgeber: CTcon is a pioneering company focused on innovative data solutions.
- Mitarbeitervorteile: Enjoy remote work, training opportunities, and fun staff events.
- Warum dieser Job: Be part of exciting projects in beautiful locations while making a real impact.
- Gewünschte Qualifikationen: Strong programming skills in Python or R and experience with cloud technologies required.
- Andere Informationen: Engage in a dynamic recruitment process that values your career goals.
Das voraussichtliche Gehalt liegt zwischen 42000 - 84000 € pro Jahr.
Success is the discovery of new possibilities. We’re looking for a data engineer with a pioneering spirit and a flair for new ways of making valuable resources available for our expeditions into uncharted data regions.
Minimum Qualifications
- Very good German and English language skills
- Bachelor’s or higher degree in computer science or a comparable subject
- Strong programming skills in Python or R
- Confident in the use of DevOps technologies (Docker, Git, Bash, CI/CD etc.)
- Practical experience in data pipeline implementation
- Initial experience in big data analytics (Spark etc.) and in cloud technologies (AWS, MS Azure, GCP)
- High data affinity
Job Content
- Development and implementation of ETL processes and data integration interfaces, and their provision in continuous delivery pipelines (CI/CD, Docker, Kubernetes, etc.)
- Efficient transformation of raw data into meaningful business information
- Big data provisioning and analytics with Apache stacks such as Spark and cloud technologies (AWS, MS Azure, GCP)
- Technological optimisation of the CTcon analytics portfolio
- Collaboration on interdisciplinary projects
Our Premium Standards
We Want More. And That Includes More Benefits for You.
- Mobile and remote working
- Training and coaching
- Company car and/or business bike
- Parking space
- Good public transport accessibility
- Staff events
- Sport activities
- Off-site
- Beverages and snacks
- Regular office lunches
Top Addresses for Your Career
Some of the most interesting and beautiful locations to launch a career: Bonn, Düsseldorf, Frankfurt, Munich and Vallendar near Koblenz.
Your Application
Time to take the first step. Send us your application. If your profile fits, we’ll arrange a brief video chat with you to talk about your career goals and professional specialisations.
Then, if we recognise potential for your career at CTcon, we’ll invite you to continue the conversation with our consultants, project managers and partners, and give you the chance to tell us what your interests are. We’ll ask you to show us what you’re capable of on the basis of presentations and practice-oriented case studies. Engaging with us will tell you a lot about CTcon and our corporate style. If we think you’re right for us, it won’t be long before you receive our offer.
Our careers pages provide some initial insights into the CTcon recruiting process. If you have any further questions, you’re more than welcome to contact me.
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Data Engineer Arbeitgeber: CTcon GmbH
Kontaktperson:
CTcon GmbH HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Data Engineer
✨Tip Number 1
Make sure to showcase your programming skills in Python or R during the interview. Prepare examples of projects where you implemented data pipelines or worked with ETL processes, as this will demonstrate your practical experience.
✨Tip Number 2
Familiarize yourself with DevOps technologies like Docker, Git, and CI/CD. Being able to discuss how you've used these tools in past projects can set you apart from other candidates.
✨Tip Number 3
Highlight any experience you have with big data analytics and cloud technologies. If you've worked with Apache Spark or platforms like AWS, MS Azure, or GCP, be ready to share specific examples of how you utilized these technologies.
✨Tip Number 4
Since the role requires strong communication skills in both German and English, practice discussing technical concepts in both languages. This will help you feel more confident during the interview and show that you're a good fit for the team.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Data Engineer
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description for the Data Engineer position. Understand the key responsibilities and required qualifications, especially the importance of programming skills in Python or R and experience with DevOps technologies.
Tailor Your CV: Customize your CV to highlight relevant experiences that align with the job requirements. Emphasize your programming skills, any practical experience in data pipeline implementation, and familiarity with big data analytics and cloud technologies.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your pioneering spirit. Mention specific projects or experiences that demonstrate your ability to transform raw data into meaningful business information.
Prepare for the Interview: If selected for an interview, prepare to discuss your technical skills and past projects in detail. Be ready to present your understanding of ETL processes, CI/CD pipelines, and your experience with tools like Docker and Spark.
Wie du dich auf ein Vorstellungsgespräch bei CTcon GmbH vorbereitest
✨Show Your Technical Skills
Be prepared to discuss your programming skills in Python or R. Bring examples of past projects where you implemented data pipelines or worked with DevOps technologies like Docker and Git.
✨Demonstrate Your Data Affinity
Share experiences that highlight your passion for data. Discuss how you've transformed raw data into meaningful insights and any relevant big data analytics experience you have, especially with tools like Spark.
✨Prepare for Case Studies
Expect to engage in practice-oriented case studies during the interview. Brush up on your problem-solving skills and be ready to showcase your approach to real-world data challenges.
✨Communicate Effectively in Both Languages
Since very good German and English skills are required, practice discussing your technical knowledge in both languages. This will demonstrate your ability to communicate effectively in a bilingual work environment.
