Data Engineer (m/f/d)

Data Engineer (m/f/d)

Frankfurt am Main Vollzeit 43200 - 84000 € / Jahr (geschätzt) Kein Home Office möglich
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Auf einen Blick

  • Aufgaben: Join us as a Data Engineer to shape our data and AI strategy!
  • Arbeitgeber: We're a leading software company revolutionizing the social care sector with innovative tech.
  • Mitarbeitervorteile: Enjoy hybrid work, competitive pay, and access to corporate perks like JobRad leasing.
  • Warum dieser Job: Make a real impact in social care while working in a dynamic, supportive environment.
  • Gewünschte Qualifikationen: 3+ years in data engineering, strong programming skills, and a degree in a related field required.
  • Andere Informationen: Fluency in German and English is a must; experience in social care is a plus!

Das voraussichtliche Gehalt liegt zwischen 43200 - 84000 € 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

As a leading software company in the social care sector, we offer a meaningful and responsible role as a Data Engineer, where you can contribute to innovative solutions that enhance care services. Our hybrid working model, dynamic environment, and culture of appreciation foster employee growth and collaboration, while our attractive remuneration and benefits ensure a rewarding experience. Join us to be part of a team that values your contributions and supports your professional development in a future-oriented industry.
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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 technologies. This will not only help you understand the role better but also allow you to discuss relevant topics during your interview.

✨Tip Number 2

Network with professionals in the social care sector and data engineering field. Engaging with others can provide insights into the industry and may even lead to referrals or recommendations.

✨Tip Number 3

Prepare to showcase your experience with cloud platforms, especially AWS. Be ready to discuss specific projects where you've utilized these technologies to solve data-related challenges.

✨Tip Number 4

Brush up on your communication skills, as you'll need to convey complex data concepts clearly to both technical and non-technical stakeholders. Practice explaining your past projects in a straightforward manner.

Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Data Engineer (m/f/d)

Data Engineering
Data Architecture
ETL/ELT Tools
Cloud Platforms (AWS)
Programming Languages (Python, R, SQL, JavaScript)
Data Pipeline Development
Data Quality Analysis
Data Modeling
Machine Learning Frameworks (scikit-learn, TensorFlow, PyTorch)
Data Governance
Analytical Skills
Problem-Solving Mindset
Communication Skills
Teamwork
Fluency in German and English (minimum B2 level)

Tipps für deine Bewerbung 🫡

Understand the Company Mission: Before applying, take some time to understand 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: Make sure your CV reflects your experience in data engineering, particularly focusing on projects related to data architecture and pipeline development. Use specific examples that demonstrate your ability to lead and innovate in this field.

Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss your familiarity with cloud platforms and programming languages mentioned in the job description, and how you can contribute to their data and AI strategy.

Highlight Relevant Skills: Clearly outline your technical skills, especially in data management, analytics, and machine learning. Mention any experience with tools like Apache Airflow or frameworks such as TensorFlow, as these are relevant to the position.

Wie du dich auf ein Vorstellungsgespräch bei myneva Group vorbereitest

✨Showcase Your Technical Skills

Be prepared to discuss your experience with data engineering tools and technologies, especially those mentioned in the job description like Python, SQL, and AWS. Highlight specific projects where you designed data pipelines or worked with data architecture.

✨Demonstrate Problem-Solving Abilities

Expect questions that assess your analytical skills and problem-solving mindset. Prepare examples of complex data issues you've encountered and how you resolved them, emphasizing your troubleshooting techniques and optimization strategies.

✨Communicate Effectively

Since excellent communication skills are crucial for this role, practice explaining technical concepts in a clear and concise manner. Be ready to discuss how you would communicate progress and strategic recommendations to leadership and stakeholders.

✨Understand the Social Care Sector

While experience in the social care sector is beneficial but not required, showing an understanding of its challenges and how data solutions can improve care services will set you apart. Research current trends and think about how your skills can contribute to this mission.

Data Engineer (m/f/d)
myneva Group
Standort: Frankfurt am Main
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