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- Aufgaben: Lead the design and operation of data platforms for efficient processing and storage.
- Arbeitgeber: Join Rentschler Biopharma, a global leader in biopharmaceutical manufacturing.
- Mitarbeitervorteile: Enjoy 30 days of vacation, flexible hours, and exclusive training opportunities.
- Warum dieser Job: Make a real impact by helping patients with serious diseases through innovative data solutions.
- Gewünschte Qualifikationen: Degree in data analytics or related field; advanced skills in SQL, Python, and data modeling required.
- Andere Informationen: Be part of a diverse team in a family-owned company with a strong commitment to health.
Das voraussichtliche Gehalt liegt zwischen 43200 - 72000 € pro Jahr.
(Senior) Data Engineering Consultant (m/f/d)
Locations: Laupheim, Germany
Time Type: Full time
Posted On: Posted 3 Days Ago
Job Requisition ID: JR1779
About Us
Rentschler Biopharma is a leading global contract development and manufacturing organization (CDMO) for biopharmaceuticals. From our headquarters in Laupheim, Germany, and our site in Milford, MA, USA, we offer end-to-end solutions, including bioprocess development and manufacturing, as well as related consulting activities such as project management and regulatory support. We are a family-owned company with approximately 1,400 employees from 25 nationalities, united by our passion for empowering clients to help patients with serious or rare diseases.
Tasks and Responsibilities
- Design, development, and operation of technology platforms in the area of data warehousing, big data, and analytics, ensuring efficient data processing and storage.
- Ensure responsible handling of data at Rentschler Biopharma by guiding the development of a group-wide data catalog.
- Develop and optimize data models, schemas, and storage solutions to support efficient data retrieval and analysis.
- Define and implement the data governance architecture and standards in partnership with IT, data science, and business stakeholders.
- Deliver on the next phase of our data lake based on data governance.
- Evaluate, recommend, and implement new data technologies and tools to enhance our data infrastructure.
- Develop and operate complex ETL pipelines to manage large datasets from diverse sources, adhering to IT data management best practices.
- Design and deliver data integration and ongoing data delivery to support operational and project-based requirements.
- Enable the delivery of data services to fulfill client demands and enhance Rentschler\’s position as a premium provider of data services.
- Maintain comprehensive documentation of data systems, processes, and workflows to ensure compliance with data governance and regulatory requirements.
What is Important to Us
- College/university degree in data analytics, informatics, bioinformatics, or a comparable field, or completed IT apprenticeship with multiple years of professional experience.
- Advanced programming skills, preferably in SQL, Python, or PowerShell.
- Deep data analytics experience, including data modeling and visualization.
- Extensive experience architecting and managing data services in a BI and Big Data environment, especially in Microsoft SQL and Azure, preferably with Hadoop and Spark.
- Strong experience with agile software development and ETL operations, as well as databases (especially MS SQL).
- Experience in applying creativity in the realization of digitalization projects through data services.
- Passion for change processes and enthusiasm for working in agile, interdisciplinary teams.
- Highly organized with well-structured work processes and project management skills.
- Strong customer orientation and ability to confidently interact with stakeholders.
- Excellent written and spoken German and English skills.
- Very good skills in Microsoft\’s M365 suite of productivity software.
What We Offer
- Work in a company that manufactures medicines for critically ill patients.
- Collegial working environment and access to exclusive training through the Rentschler Academy.
- 30 days of holiday and flexible working hours.
- Company health management and pension scheme.
- Indefinite contract.
Need Help?
If you are having difficulty applying, get in touch with our recruiting team.
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Lead Data Engineer (m/w/d) Arbeitgeber: Rentschler Biopharma Inc.
Kontaktperson:
Rentschler Biopharma Inc. HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Lead Data Engineer (m/w/d)
✨Tip Number 1
Familiarize yourself with the specific technologies mentioned in the job description, such as SQL, Python, and Azure. Highlight any relevant projects or experiences where you've successfully utilized these tools to demonstrate your expertise.
✨Tip Number 2
Showcase your experience with data governance and ETL processes. Prepare examples of how you've implemented data governance standards or optimized ETL pipelines in previous roles to illustrate your capability in this area.
✨Tip Number 3
Emphasize your ability to work in agile, interdisciplinary teams. Be ready to discuss how you've contributed to team projects and adapted to changing requirements, as this aligns with the company's focus on collaboration and flexibility.
✨Tip Number 4
Prepare to discuss your customer orientation and stakeholder interaction skills. Think of instances where you've effectively communicated complex data concepts to non-technical stakeholders, showcasing your ability to bridge the gap between technical and business needs.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Lead Data Engineer (m/w/d)
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description for the Lead Data Engineer position. Understand the key responsibilities and required skills, such as data governance, ETL operations, and programming languages like SQL and Python.
Tailor Your CV: Customize your CV to highlight relevant experience in data engineering, big data, and analytics. Emphasize your programming skills and any experience with Microsoft SQL, Azure, Hadoop, or Spark.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data services and your ability to work in agile teams. Mention specific projects where you applied your data analytics skills and how they relate to the role at Rentschler Biopharma.
Highlight Language Proficiency: Since excellent written and spoken German and English skills are required, make sure to mention your language proficiency clearly in your application. Provide examples of how you've used these skills in a professional context.
Wie du dich auf ein Vorstellungsgespräch bei Rentschler Biopharma Inc. vorbereitest
✨Understand the Company and Its Values
Before your interview, take some time to research Rentschler Biopharma. Understand their mission, values, and the specific role they play in the biopharmaceutical industry. This will help you align your answers with their goals and demonstrate your genuine interest in the company.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with data engineering tools and technologies, especially SQL, Python, and Azure. Highlight specific projects where you've designed ETL pipelines or managed data services, as this will showcase your technical expertise relevant to the role.
✨Demonstrate Your Problem-Solving Abilities
During the interview, be ready to provide examples of how you've tackled complex data challenges in the past. Discuss your approach to data governance and how you've implemented best practices in previous roles, as this will illustrate your capability to handle the responsibilities outlined in the job description.
✨Prepare Questions for Your Interviewers
Having thoughtful questions prepared shows your engagement and interest in the position. Ask about the team dynamics, ongoing projects, or how they envision the future of data services at Rentschler Biopharma. This not only helps you gather important information but also leaves a positive impression on your interviewers.
