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- Aufgaben: Design and maintain scalable data pipelines while collaborating with analysts and scientists.
- Arbeitgeber: Join Arcondis, a global consulting firm focused on healthcare and life sciences since 2001.
- Mitarbeitervorteile: Enjoy flexible work arrangements, competitive pay, and opportunities for professional growth.
- Warum dieser Job: Make a real impact in healthcare while working in a collaborative and innovative culture.
- Gewünschte Qualifikationen: Bachelor's or Master's in Computer Science or related field; 2-3 years of data engineering experience required.
- Andere Informationen: Occasional travel to customer sites for project support and discussions.
Das voraussichtliche Gehalt liegt zwischen 43200 - 72000 € pro Jahr.
Work mode: Remote or flexible work arrangements available, occasionally travel to customer
Company Overview
Arcondis is a global consulting company with an exclusive focus on the healthcare and life science industries. Headquartered in Basel, Switzerland, the company has a global footprint with offices in North America, APAC and across Europe. We have been managing challenges and solving problems for our clients in compliance, business processes, information technology, and digital transformation since 2001. Our focus lies in creating value through cross-functional, sophisticated delivery methodologies and intelligent implementation. Our clients love to work with us because of our unique skillsets, our pragmatic approach, and our will to win.
We are a medium-sized international consulting firm dedicated to Life Sciences, with a unique and inspiring culture. Our distinctive culture is the driving force behind our success; it is deeply rooted in our purpose and behaviors.
We are owned by a charitable Foundation; our key differentiator is that we contribute to social causes every year. This ethos is not just a part of our identity; it is our way of life. Our motto, „We make healthcare better,“ reflects the unwavering commitment we have to improving the lives of people through the work we do.
Our culture fosters collaboration, innovation, and a sense of community that sets us apart from the rest. We are living our values every day. Our leadership is expected to lead by example, demonstrating a dedication to our mission and values.
We embrace diversity and inclusivity, and we believe in giving back to the community. Together, we are not just consultants; we are agents of change, and our culture is the driving force behind our shared purpose.
About the role
As a Data Engineer, you will play a key role in designing, building, and maintaining scalable and efficient data pipelines. You need to be able to work closely with data analysts, data scientists, and other stakeholders to ensure high-quality data availability, reliability, and performance. Your expertise in data modeling, ETL processes, and databases will contribute to the overall success of our data-driven initiatives. In addition, your ability to engage with customers and understand their data needs will be an essential part of your role. Occasionally, you will be required to travel to customer sites to support project implementations and stakeholder discussions.
Responsibilities
- Design, develop, and maintain scalable data pipelines
- Optimize data workflows to ensure efficiency and reliability
- Collaborate with data analysts and data scientists to understand data requirements and enable advanced analytics
- Implement and manage data infrastructure
- Ensure data quality and governance across all data assets
- Automate data processes using ETL frameworks, scripting, and orchestration tools
- Monitor and troubleshoot data pipelines
- Communicate effectively with customers and stakeholders to understand business needs and translate them into technical solutions
- Stay up to date with emerging technologies and best practices in data engineering
Qualifications and Experience
To be successful in this role, you should possess the following qualifications and experience:
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
- 2–3 years of professional experience in data engineering, consulting, or a related field
- Experience with SQL, Python, or any other tool for data processing
- Hands-on experience with ETL tools and data warehouses
- Experience with big data technologies is a plus
- Strong knowledge of database design, data modeling, and data governance principles
- Excellent communication skills to collaborate with both technical and non-technical stakeholders
- Strong problem-solving skills and ability to work in a cross-functional team environment
- Confident presence and professionalism in customer interactions
Why Arcondis
- An opportunity to shape the future of healthcare by spearheading transformative deals.
- A collaborative and innovative work environment, where your ideas are valued, and your contributions make a significant impact.
- Flexible working environment, enabling work-life balance.
- Attractive compensation package, inclusive of performance-based incentives that reward exceptional achievements.
- Professional growth and development opportunities.
Seniority level
Associate
Employment type
Full-time
Job function
Consulting
Industries
Health and Human Services and Business Consulting and Services
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Data Engineer Consultant Arbeitgeber: Arcondis Group
Kontaktperson:
Arcondis Group HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Data Engineer Consultant
✨Tip Number 1
Familiarize yourself with the healthcare and life sciences industry. Understanding the specific challenges and needs of this sector will help you engage more effectively with potential clients and demonstrate your value as a Data Engineer Consultant.
✨Tip Number 2
Highlight your experience with data modeling and ETL processes in your conversations. Be prepared to discuss specific projects where you've successfully implemented data pipelines, as this will showcase your hands-on expertise and problem-solving skills.
✨Tip Number 3
Emphasize your communication skills during interviews. Since you'll be collaborating with both technical and non-technical stakeholders, demonstrating your ability to translate complex data concepts into understandable terms will set you apart.
✨Tip Number 4
Stay updated on emerging technologies in data engineering. Being knowledgeable about the latest tools and best practices will not only enhance your skill set but also show your commitment to continuous learning and improvement, which aligns with Arcondis' values.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Data Engineer Consultant
Tipps für deine Bewerbung 🫡
Understand the Company Culture: Before applying, take some time to understand Arcondis' unique culture and values. Highlight how your personal values align with their commitment to improving healthcare and community involvement in your application.
Tailor Your CV: Make sure your CV reflects your experience in data engineering, particularly focusing on your skills with SQL, Python, and ETL tools. Use specific examples from your past work that demonstrate your ability to design and maintain data pipelines.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss your relevant experience and how you can contribute to their mission of making healthcare better. Be sure to mention any experience you have with customer interactions and cross-functional teamwork.
Showcase Your Problem-Solving Skills: During the application process, be prepared to discuss specific challenges you've faced in previous roles and how you solved them. This will demonstrate your strong problem-solving skills and ability to work effectively in a team environment.
Wie du dich auf ein Vorstellungsgespräch bei Arcondis Group vorbereitest
✨Understand the Company Culture
Before your interview, take some time to research Arcondis' unique culture and values. Familiarize yourself with their commitment to social causes and how they aim to improve healthcare. This will help you align your answers with their ethos during the interview.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL, Python, and ETL tools in detail. Highlight specific projects where you've designed and maintained data pipelines or optimized workflows. Providing concrete examples will demonstrate your expertise and problem-solving abilities.
✨Emphasize Collaboration
Since the role involves working closely with data analysts and scientists, emphasize your teamwork skills. Share experiences where you've successfully collaborated with cross-functional teams to meet project goals, ensuring that you communicate effectively with both technical and non-technical stakeholders.
✨Prepare for Customer Interaction Scenarios
Given the importance of customer engagement in this role, think of scenarios where you've interacted with clients or stakeholders. Be ready to discuss how you understood their needs and translated them into technical solutions, showcasing your professionalism and confident presence.
