At Avenga, we believe that human creativity empowers technology that matters. Operating globally, our 6000+ specialists provide a full spectrum of services, including business and tech advisory, enterprise solutions, CX, UX and Ul design, managed services, product development, and software development.
This is the job
We’re looking for a Tech Lead Data Engineer to lead the creation of a toolkit designed to support clinical study planning and resource assessment. This solution will enable technical teams to generate consistent, interactive outputs for proposal support. You’ll guide a small team, architect scalable data workflows, and build advanced visualizations using Python and Databricks.
This is you * Proven 6+years of experience leading data engineering teams or initiatives * Strong proficiency in Python, especially PySpark * Deep expertise in Databricks and distributed data processing * Skilled in building custom visualizations using libraries like matplotlib, plotly, etc. * Experience designing reusable tools and frameworks for technical users * Solid understanding of clinical study data or operational planning (or willingness to learn)
Nice-to-have skills: * Familiarity with healthcare or life sciences data * Experience with cloud platforms (e.g., Azure, AWS) * Knowledge of CI/CD and DevOps practices for data pipelines * Exposure to proposal generation or pre-sales analytics tools
This is your role * Lead the design and development of a clinical resource assessment toolkit * Collaborate with stakeholders to define consistent output formats * Build reusable Python components and interactive visualizations * Mentor junior engineers and ensure code quality * Integrate with existing data platforms and pipelines * Drive innovation and best practices in data engineering
We take pride in the diverse skills and character of our teams, welcoming everyone to apply and contribute to our collective strength.
