Join us as a Lead Engineer for Client Solutions & Delivery and help transform the pharmaceutical industry with cutting-edge AI technology. In this key role, you'll oversee the technical implementation of our SaaS platform, ensuring seamless delivery for our clients. Collaborating closely with the Project Manager and cross-functional teams, including data engineering, data science, and platform teams, you will drive the integration of data-driven AI solutions. From planning to execution, your technical leadership will be crucial in guiding projects to success while maintaining the highest standards of quality in our platform.

This is a hybrid working opportunity, working 3 days a week from either our Leiden (Netherlands) or Cambridge (UK) office.

Role responsibilities

How will you make an impact at Envision Pharma Group?

• Oversee the technical implementation of OKRA's SaaS platform for clients, ensuring successful data integration, transformation, and platform delivery.
• Lead and coordinate technical teams across data engineering, data science, and platform integration, ensuring alignment with project objectives and timelines.
• Collaborate with the Project Manager and cross-functional teams to define project requirements, scope, and delivery plans, ensuring smooth execution across all stages of the implementation process.
• Provide technical guidance and hands-on support in data engineering tasks, such as ETL processes, data pipelines, and cloud-based data solutions.
• Monitor progress, identify risks, and proactively troubleshoot technical challenges to ensure timely project delivery.
• Champion best practices in data management, engineering, and deployment within the project, including data quality, data governance, and software development methodologies.
• Work closely with data science teams to integrate AI models, including machine learning (ML), natural language processing (NLP), and large language models (LLMs), into the platform.
• Stay up-to-date with advancements in AI, machine learning, and cloud-based solutions, ensuring OKRA's technology stack remains cutting-edge and aligned with industry trends.
• Engage with clients during the onboarding process and provide technical support throughout the implementation lifecycle.

Do you have what we are looking for?

Skills & expertise

• Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.
• Extensive demonstrable experience in data engineering or software engineering roles, with a strong track record of leading technical projects in a data-driven environment.
• Proven expertise in designing, implementing, and managing ETL/ELT processes, data pipelines, and data lakes.
• Experience working with AI models, including ML, NLP and LLMs, and integrating them into production systems.
• Solid experience with AWS services (e.g. EC2, S3, Glue) and modern data processing tools (e.g., Apache Airflow, Spark, Luigi, Kedro).
• Hands-on experience with Python 3.9 or later, with knowledge of data frameworks (e.g., Pandas, PySpark).
• Strong understanding of software development best practices, including version control, testing, and continuous integration/continuous deployment (CI/CD).
• Proven ability to collaborate with cross-functional teams and effectively communicate with diverse stakeholders (internal and external)
• Excellent problem-solving skills and the ability to work in a fast-paced, dynamic environment.
• Familiarity with Agile methodologies and project management tools such as Jira.

Bonus points if you have;

• Experience in the pharmaceutical or life sciences industry, with an understanding of AI solutions' applications.

Magic happens when people care deeply about what they do!

We're on a mission to use Artificial Intelligence to transform healthcare as we know it.

We're pioneers. Everyone here is passionate about their impact on our products and teams and ultimately, the world. This is how we became leaders in what we do.

If you're looking for fascinating and complex projects and can thrive on change, you've found the right place.