Senior Graph Data Engineer

The creative mind behind every project. Put your skills to the test to build solutions that continue to shape the world we live in.

**Please note that this position is open as either a permanent or a contractor agreement.


About Us    
Ascent has recently been acquired by Acuity Analytics.  This is both a significant milestone for us and a tremendous opportunity for you.  Acuity Analytics is a business with a strong global reputation, an impressive client base and ambitious growth plans.  We deliver deep insights and domain-led digital transformation to high-growth and heavily regulated organisations.  To our customers, we bring a partnership that provides the talent, technology and capability to enhance performance and operational efficiency.

• Strong hands-on experience (5+ years) developing full-stack software solutions using Python, Java, C/C++, and/or C# in analytical or data-intensive contexts
• Experience working with relational and NoSQL databases (e.g. PostgreSQL, Snowflake, Hive, Neo4J, MongoDB) and analytical data structures
• Experience building and deploying containerized applications using Docker; exposure to Kubernetes is desirable
• Practical experience integrating enterprise systems via secure APIs, including authentication mechanisms (e.g. OAuth, tokens, service credentials), versioned interfaces, and reliability patterns
• Strong experience implementing automated testing across the software lifecycle, including unit, integration, performance, and security testing using tools such as JUnit, pytest, NUnit, Apache JMeter, Selenium, and OWASP-aligned security tools
• Experience working with distributed data platforms (e.g. Spark, Databricks, or equivalent)

Desirable Experience

• Exposure to pharmaceutical R&D, clinical development data, or industry standards (e.g. CDISC, TransCelerate, HL7)
• Practical experience applying machine learning frameworks (e.g. TensorFlow, PyTorch, or equivalent), including integration of trained models into validated software systems is desirable
• Hands-on experience developing or integrating agentic AI systems, including use of agent-centric frameworks (e.g. LangChain, AutoGen, Semantic Kernel or equivalent) and orchestration of controlled, tool-using workflows
• Experience contributing to CI/CD pipelines and platform automation using tools such as GitHub Actions, Terraform, and Kubernetes
• Experience working in regulated or quality-controlled environments (GxP experience preferred

People are at the Heart of our Business.  By investing in people, we achieve exceptional results for our clients and create new opportunities for our teams to thrive.  Check out this page for more details.