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- Aufgaben: Design and maintain a company-wide data platform while developing innovative data solutions.
- Arbeitgeber: Join a leading software company transforming the social care sector with cutting-edge technology.
- Mitarbeitervorteile: Enjoy hybrid work options, attractive pay, and access to corporate perks like JobRad leasing.
- Warum dieser Job: Make a meaningful impact in social care while working in a dynamic, supportive environment.
- Gewünschte Qualifikationen: 3+ years in data engineering, fluent in Python, R, SQL, or JavaScript, and familiar with AWS.
- Andere Informationen: Fluency in German and English required; experience in social care is a plus.
Das voraussichtliche Gehalt liegt zwischen 43200 - 72000 € pro Jahr.
Your mission
We are a leading software company in the social care sector, committed to developing innovative solutions to improve care services. Our goal is to enhance the efficiency and effectiveness of social services through cutting-edge technologies such as artificial intelligence. You will develop innovative solutions in areas including data and AI operating models, data culture, and data architecture. As a data engineer within our product development organization, you will play a key role in shaping and implementing our data and AI strategy.
You’ll be responsible for developing and integrating advanced data and AI solutions tailored to and exceeding our customers’ needs.
Your tasks
- Contribute to designing and maintaining a company-wide data platform
- Research new technologies to help the team achieve its mission in data management, analytics, and machine learning
- Design, build, and maintain data pipelines to ensure reliable and efficient data flow across more than 100 sources and 12 different products
- Conduct quick analyses of data quality issues, propose improvements, and perform data modeling tasks to create high-quality reports and analytics
- Work with internal data scientists and software engineers to develop and integrate new functionalities into large datasets
- Communicate progress, results, and strategic recommendations to leadership and stakeholders.
Your profile
- A degree in Computer Science, Science, or a related field
- 3+ years of experience in data engineering, with proven experience leading data architecture and pipeline projects in an enterprise environment
- Strong understanding of current trends in data science and data engineering
- Familiarity with cloud platforms (AWS) and their data-related services
- Fluent in programming languages like Python, R, SQL, or JavaScript and ETL/ELT tools such as Apache Airflow
- Knowledge of data architecture concepts and tools, including data warehouses, data lakes, lakehouses, and data catalogs
- Ability to troubleshoot complex data issues, optimize system performance, and understand data governance and relevant tools
- Strong analytical skills and a problem-solving mindset
- Excellent communication skills and a strong sense of teamwork
- Experience with ML and AI frameworks such as scikit-learn, TensorFlow, or PyTorch is a plus
- Experience in the social care sector is beneficial but not required.
- Fluency in written and spoken German and English (minimum B2 level)
Why us?
- A responsible task with meaning: We build software to digitize the social care sector and thus enable our customers to focus on a better life for their clients by giving them more time for care & support
- A hybrid working time model to keep your everyday life flexible
- Exciting, challenging tasks in a dynamic, future-oriented environment
- A culture of appreciation and a harmonious working atmosphere in a growing, international company with opportunities to get involved
- A creative working environment, flat hierarchies and short decision-making processes
- Attractive remuneration models, a permanent employment contract and an employer contribution to your company pension scheme
- Access to corporate benefits, JobRad leasing and other mobility offers, such as a fully financed Germany ticket
- Cooperation with ICAS and thus the opportunity to talk to external, professional consultants about professional or private challenges and/or concerns
Contact information
If this sounds like you, we look forward to receiving your application including your earliest possible start date, through our online application form!
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Data Engineer (m/f/d) Arbeitgeber: myneva Group
Kontaktperson:
myneva Group HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Data Engineer (m/f/d)
✨Tip Number 1
Familiarize yourself with the latest trends in data engineering and AI. This will not only help you during interviews but also show that you're genuinely interested in the field and can contribute to our innovative solutions.
✨Tip Number 2
Network with professionals in the social care sector and data engineering community. Engaging with others in the field can provide insights into the challenges they face and how you can position yourself as a solution provider.
✨Tip Number 3
Prepare to discuss specific projects where you've designed and maintained data pipelines. Be ready to share your thought process, the technologies you used, and the impact of your work on the organization.
✨Tip Number 4
Brush up on your communication skills. As you'll be working closely with data scientists and stakeholders, being able to clearly articulate your ideas and progress is crucial for success in this role.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Data Engineer (m/f/d)
Tipps für deine Bewerbung 🫡
Understand the Company Mission: Familiarize yourself with the company's mission in the social care sector. Highlight how your skills and experiences align with their goal of improving care services through innovative technologies.
Tailor Your CV: Customize your CV to emphasize your experience in data engineering, particularly in designing data architectures and building data pipelines. Include specific examples of projects that demonstrate your expertise in relevant technologies.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of current trends in the field. Mention your familiarity with cloud platforms and programming languages, and how you can contribute to the company's data and AI strategy.
Highlight Communication Skills: Since excellent communication is crucial for this role, provide examples in your application that demonstrate your ability to communicate complex data issues and collaborate effectively with teams. This will show that you are a strong team player.
Wie du dich auf ein Vorstellungsgespräch bei myneva Group vorbereitest
✨Showcase Your Technical Skills
Be prepared to discuss your experience with data engineering, particularly in designing and maintaining data pipelines. Highlight your familiarity with cloud platforms like AWS and programming languages such as Python or SQL.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your analytical skills and problem-solving mindset. Prepare examples of how you've tackled complex data issues or optimized system performance in previous roles.
✨Communicate Effectively
Since the role involves communicating progress and strategic recommendations, practice articulating your thoughts clearly. Be ready to explain technical concepts in a way that non-technical stakeholders can understand.
✨Research the Company and Its Mission
Understand the company's focus on social care and how your role as a Data Engineer contributes to improving care services. This knowledge will help you align your answers with their mission during the interview.