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- Tasks: Lead the development of a cutting-edge data platform in biotech.
- Company: Join an innovative brand focused on disease detection technology.
- Benefits: Enjoy a hybrid work model, competitive salary, and comprehensive benefits.
- Why this job: Make a real impact on health tech while working independently and strategically.
- Qualifications: Proficient in Python, SQL, and cloud platforms; experience with IoT is a plus.
- Other info: Great culture fit and opportunities for learning and growth are essential.
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 expectations, giving you an edge in your application.
✨Tip Number 3
Showcase your experience with cloud platforms like AWS, Azure, or GCP through practical examples. Be prepared to discuss specific projects where you've successfully implemented these technologies, as this will highlight your hands-on expertise.
✨Tip Number 4
Prepare to discuss your strategic thinking and how it aligns with the company's vision. Think of examples where you've contributed to long-term data strategies or architecture, as this will resonate well with the hiring team looking for a leader in data engineering.
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: Since the company values culture fit, include examples of teamwork and collaboration in your application. Share instances where you have mentored others or contributed to a positive team environment, showcasing your forward-thinking attitude.
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 involves working with cloud platforms like AWS, Azure, or GCP, make sure you understand the basics and can discuss any relevant experience. If you've worked with Databricks, be ready to explain how you've used it in previous roles.
✨Emphasise Strategic Thinking
This position requires a blend of day-to-day development and big-picture thinking. Prepare to discuss how you've contributed to long-term strategies in past roles and how you plan to align your work with the company's vision.
✨Demonstrate Cultural Fit
The company values enthusiastic and forward-thinking individuals. Be ready to share examples of how you've collaborated with teams, mentored others, or contributed to a positive work culture in your previous positions.
