At a Glance
- Tasks: Build and optimise scalable data pipelines using cutting-edge technologies.
- Company: Join Fimador, a leader in AI and ML innovation.
- Benefits: Full-time role with opportunities for growth and development.
- Other info: Collaborative culture focused on engineering excellence and mentorship.
- Why this job: Make an impact in the tech world by pioneering data-driven products.
- Qualifications: Experience with data pipelines, Databricks, and Spark is essential.
The predicted salary is between 36000 - 60000 € per year.
Fimador is currently looking to identify a Principal Data Engineer to join a techbio firm in a critical role as they evolve their data platforms.
Operating at principal level, the role is strategic, yet hands-on focusing on building, operating, and continuously improving reliable, scalable, and compliant data capabilities that support AI, analytics, and enterprise workflow applications.
You’ll have the opportunity to influence data engineering decisions through deep practical expertise and balance near-term delivery with long-term maintainability ensuring data platforms can sustainably support growing product, data and regulatory demands.
They are looking for someone who has significant hands-on experience building and operating production data pipelines that support analytics, AI/ML, and enterprise application use cases.
Familiarity with cloud-based data platforms and tooling, including Databricks and AWS, in production enterprise environments is desirable, as is experience supporting GenAI, NLP, or AI-driven discovery and reporting use cases through well-designed data pipeline and curated datasets.
#J-18808-LjbffrData Engineer employer: Fimador
Fimador is an exceptional employer, offering a dynamic work environment where innovation thrives and employees are empowered to push the boundaries of technology. With a strong focus on professional development, team collaboration, and engineering excellence, Fimador provides its Data Engineers with the opportunity to work on cutting-edge AI and ML projects while enjoying a culture that values mentorship and best practices. Located in a vibrant tech hub, employees benefit from a supportive community and access to the latest tools and technologies, making it an ideal place for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines, projects, and any cool stuff you've built using Databricks or Spark. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions related to data engineering and be ready to discuss your past experiences and how they align with the role.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. Highlight your experience with Databricks, Apache Spark, and any relevant projects that showcase your skills in building scalable data pipelines.
Showcase Your Projects:Include specific examples of past projects where you've optimised data workflows or implemented CI/CD practices. This will help us see how you can contribute to our engineering excellence culture.
Be Clear and Concise:When writing your application, keep it clear and concise. Use bullet points for easy reading and make sure to address how your experience aligns with the responsibilities listed in the job description.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Fimador
✨Know Your Tech Stack
Make sure you’re well-versed in Databricks, Apache Spark, and Python. Brush up on how these technologies work together to build scalable data pipelines. Being able to discuss your experience with them confidently will show that you're the right fit for the role.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've optimised data workflows or improved performance in past projects. Be ready to explain your thought process and the impact of your solutions. This will demonstrate your ability to tackle challenges head-on.
✨Understand Compliance Standards
Familiarise yourself with GxP and other regulatory standards relevant to data engineering. Be prepared to discuss how you ensure compliance in your work. This knowledge is crucial for the role and will set you apart from other candidates.
✨Emphasise Collaboration
Highlight your experience working in teams and how you’ve contributed to code reviews, CI/CD practices, and mentoring others. Companies value engineers who can collaborate effectively and promote best practices within their teams.
