At a Glance
- Tasks: Build and scale innovative data products that transform healthcare insights.
- Company: Beacon Intelligence, a leader in AI-driven pharmaceutical data solutions.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Join a dynamic team focused on innovation and collaboration.
- Why this job: Make a real impact on patients' lives while working with cutting-edge technology.
- Qualifications: Strong experience in data platforms, Python, SQL, and cloud environments.
The predicted salary is between 70000 - 90000 £ per year.
Beacon Intelligence delivers data and insights that help R&D scientists develop better pharmaceuticals, faster than ever before.
Our focus is simple: we curate high-accuracy data enriched and transformed with AI.
This is delivered through a range of platforms, increasingly via AI-native products and features that enable customers to extract insights faster than ever before.
This is a rare opportunity to make a meaningful impact on patients’ lives worldwide.
About the Role
As a Senior Data/AI Engineer, you will play a central role in building and scaling our data products.
This is not a traditional back-end data engineering role.
You will work closely with product, commercial and technical colleagues, transforming datasets into commercial, customer-facing solutions.
You will combine deep technical expertise with a strong understanding of how data can be structured, enriched and operationalised through AI systems.
Responsibilities
- Data Product Development (Core Focus)
- Design and build scalable data products underpinning Beacon’s commercial offerings
- Transform raw and third-party data into structured, enriched, product-ready datasets
- Partner with product and commercial teams to define how data is packaged, accessed and monetised
- Enable delivery via APIs, internal tools and customer-facing platforms
- Apply AI and LLM capabilities to enrich and enhance data (e. g. classification, tagging, summarisation, insight generation)
- Design and build LLM-powered product features
- Integrate RAG into pipelines to improve data quality and unlock new features
- Support development of AI-driven products such as recommendation engines, search and insight tools
- Ensure systems are optimised, well-governed and resilient
- Support deployment and lifecycle management of data and AI systems
- Own and evolve the data platform architecture (Databricks, Azure, Airbyte) to support scalability
- Build and maintain robust data pipelines (batch and streaming) delivering reliable, production-ready datasets
- Ensure high standards in data quality, testing and observability
- Improve efficiency through automation, CI/CD and engineering best practice
- Commercial & Stakeholder Impact
- Partner with senior stakeholders to identify high-value data product opportunities
- Translate business needs into practical, scalable data and AI solutions
- Act as a bridge between technical teams and commercial/product stakeholders
- Contribute to prioritisation based on business impact
- Leadership & Growth
- Shape the evolution of our data product and AI strategy
- Mentor junior engineers and promote a strong engineering and product mindset
- Help build a high-performing, commercially aware data and AI engineering team
Qualifications
- Strong experience with modern data platforms (e. g. Databricks) and cloud environments (Azure preferred)
- Advanced Python and SQL, focused on production-quality, scalable solutions
- Experience with Apache Spark (Py Spark) for large-scale data processing
- Proven experience designing and building data pipelines and models
- Experience working with APIs and data delivery mechanisms (critical for productisation)
- Familiarity with CI/CD, Git and modern development practices
- Required Skills
- Experience building or supporting data products or customer-facing data solutions
- Strong understanding of how to structure, expose and scale data for end users or clients
- Ability to think beyond pipelines and focus on commercial value
- Experience working closely with product or commercial teams
- Preferred Skills
- Familiarity with generative AI / LLMs (Azure Open AI, Lang Chain etc.) and experience applying them to real-world use cases
- Experience evaluating, monitoring and optimising AI systems
- Experience working with unstructured data (text, documents, web data)
- Familiarity with embeddings, vector databases or semantic search
- Understanding of AI governance and data ethics
- Experience with Airbyte or modern data ingestion tools
- Experience with Terraform or infrastructure-as-code
- Exposure to LLM frameworks (e. g. Lang Chain, Llama Index)
- Experience with experimentation or A/B testing frameworks
- Background in building data-driven / AI-enabled products
- Domain experience in life sciences
- Pay range and compensation package
- Equal Opportunity Statement
Beacon Intelligence is committed to diversity and inclusivity in the workplace.
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Senior Data Engineer employer: Beacon
Beacon in Upholland is an excellent employer, offering a supportive work culture where you can make a real difference in patient care. With flexible part-time hours and opportunities for professional growth, you'll thrive in a dynamic environment that values strong communication and teamwork. Join us to enjoy meaningful interactions with patients while developing your administrative skills in a rewarding healthcare setting.
