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- Tasks: Lead the development of a cutting-edge data platform in biotech.
- Company: Join an innovative brand revolutionising disease detection technology.
- Benefits: Enjoy a hybrid work model, competitive salary, and comprehensive benefits.
- Why this job: Make a real impact on health with advanced data analytics and machine learning.
- Qualifications: Proficient in Python, SQL, and cloud platforms; experience with IoT is a plus.
- Other info: Work closely with the CIO to shape long-term data strategies.
The predicted salary is between 60000 - 84000 £ per year.
Hybrid, 2 days per week in Edinburgh office
Up to £75,000 + comprehensive benefits package
AI Connect have partnered with an exciting growing brand in the biotech space to source a Lead Data Engineer to spearhead the development of their data platform and overall data capability. As the main Data Engineer here, you will have the opportunity to work with a good level of independence, creating data infrastructure and long-term architecture that will serve the business for years to come. This company are developing some of the most innovative disease and parasite detection devices in the world, with more new developments lined up for testing and production in 2026. The intention is to start harnessing R&D data to improve the accuracy of biological analyses, as well as help identify potential geographical locations where disease outbreaks may occur. Most of the data you’ll be working with is ingested from various sources including laboratories and geographical sensors.
As the main data engineer, you will combine day-to-day development with big-picture strategic thinking, creating a comprehensive platform to enable machine learning and advanced analytics on IoT data. You’ll have full support and guidance from the CIO to shape the long-term strategy and align your expertise with the overall business vision, so it’s an excellent opportunity for an experienced engineer to demonstrate their independent capability.
The core skillset:
- Proficiency in Python & SQL for pipeline development, orchestration, and transformation
- Excellent experience required with cloud platforms, preferably AWS but we’re open to Azure or GCP exposure if other tech experience aligns
- Good knowledge of Databricks would be useful as implementation of Databricks can be started immediately as a main aspect of the data strategy
- Experience of working with IoT or sensor-based systems would be useful but not essential
Beyond this core skillset, our priority is always to introduce great culture fits to our client’s teams. We’re looking for enthusiastic and forward-thinking individuals who are willing to learn and pass on knowledge to the team around them.
Apply here and we’ll be delighted to tell you all the details on a call.
Lead Data Engineer employer: AI Connect
Contact Detail:
AI Connect Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in biotech and data engineering. Understanding the specific challenges and innovations in this field will help you engage in meaningful conversations during interviews and demonstrate your passion for the role.
✨Tip Number 2
Network with professionals in the biotech and data engineering sectors. Attend relevant meetups or webinars to connect with industry experts, which can provide insights into the company culture and potentially lead to referrals.
✨Tip Number 3
Showcase your experience with cloud platforms and data pipelines through practical examples. Be prepared to discuss specific projects where you've successfully implemented solutions using Python, SQL, or Databricks, as this will highlight your technical expertise.
✨Tip Number 4
Emphasise your ability to work independently while also being a team player. The role requires strategic thinking and collaboration, so be ready to share instances where you've balanced these two aspects effectively in your previous roles.
We think you need these skills to ace Lead Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your proficiency in Python and SQL, as well as your experience with cloud platforms like AWS, Azure, or GCP. Emphasise any relevant projects that showcase your ability to develop data pipelines and work with IoT systems.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the biotech industry and the innovative work being done by the company. Mention how your skills align with their needs, particularly in creating data infrastructure and supporting machine learning initiatives.
Showcase Relevant Experience: When detailing your work experience, focus on specific examples where you have led data engineering projects or contributed to strategic data initiatives. Highlight any experience with Databricks or similar technologies, even if it was in a supportive role.
Demonstrate Cultural Fit: Research the company's culture and values, and reflect this understanding in your application. Mention your willingness to learn and share knowledge, as they are looking for enthusiastic individuals who can contribute positively to the team.
How to prepare for a job interview at AI Connect
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in Python and SQL. Bring examples of past projects where you've developed data pipelines or transformed data, as this will demonstrate your hands-on experience and technical expertise.
✨Familiarise Yourself with Cloud Platforms
Since the role requires experience with cloud platforms like AWS, Azure, or GCP, make sure you can talk about your experience with these technologies. If you have worked with Databricks, be ready to explain how you implemented it in previous roles.
✨Understand the Company’s Vision
Research the company’s mission in the biotech space, especially their focus on disease detection and R&D data. This will help you align your answers with their goals and show that you are genuinely interested in contributing to their vision.
✨Emphasise Team Collaboration
Highlight your ability to work independently while also being a team player. Share examples of how you've collaborated with others in the past, as the company values individuals who can share knowledge and contribute to a positive team culture.
