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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 hybrid work, competitive salary, and a comprehensive benefits package.
- Why this job: Make a real impact on health with your data engineering skills.
- Qualifications: Proficient in Python, SQL, and cloud platforms like AWS or Azure.
- Other info: Work closely with the CIO to shape long-term data strategies.
The predicted salary is between 54000 - 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
Demonstrate your enthusiasm for continuous learning. Highlight any recent courses or certifications related to data engineering or IoT systems, as this shows your commitment to staying updated in a rapidly evolving field.
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 data.
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: If you have experience with Databricks or sensor-based systems, be sure to include specific examples of how you've used these technologies in past roles. This will demonstrate your readiness to contribute immediately to their data strategy.
Highlight Cultural Fit: Since the company values culture fit, mention any experiences where you've worked collaboratively in teams or contributed to a positive work environment. Show that you're not just a skilled engineer but also a team player who is eager to learn and share knowledge.
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.
✨Understand the Company’s Vision
Research the biotech company and its innovative products. Understanding their mission to improve disease detection will help you align your answers with their goals and show that you're genuinely interested in contributing to their success.
✨Discuss Cloud Experience
Since the role requires experience with cloud platforms, be ready to talk about your familiarity with AWS, Azure, or GCP. Highlight specific projects where you've utilised these technologies, especially in relation to data infrastructure.
✨Emphasise Team Collaboration
The company values culture fit and teamwork. Share examples of how you've collaborated with others in previous roles, particularly in sharing knowledge and supporting team members, to demonstrate your ability to contribute positively to their work environment.
