Job Opportunities

Senior Big Data Engineer

The Role
We are looking for an experienced, innovative and highly motivated engineer who is capable of working
independently to design, develop, and support data engineering solutions. This role requires a considerable
focus on understanding our data we deal with as an organization, develop a better understanding of our data
through profiling, take ownership of the solution design, work collaboratively with the wider engineering team
to implement optimal solutions in a timely manner and ensure successful deployment and operation of the
platform in production. Our platform helps solve complex business challenges pertaining to healthcare data
such as mapping wide variety of healthcare drug and diagnosis data to standard coding frames. You will have
the opportunity to solve complex engineering challenges and develop innovative solutions. In your daily work
you will be responsible for creation and delivery of a platform loading and processing millions of electronic
medical records.

Core Responsibilities
• Ability to oversee and guide junior and mid-level engineers, providing technical direction and
mentoring to support their growth.
• Delegating tasks effectively, ensuring clarity of expectations and alignment with delivery goals.
• Ownership for the delivery of assigned workstreams, ensuring quality, timeliness, and accountability
across the team.
• Build pipelines for processing big amount of medical data
• Participate in analysis, system design, development, deployment and maintenance
• Conduct peer code reviews
• Contribute to the definition and adoption of technical standards
• Create comprehensive automated unit and integration tests

Qualifications
Bachelor’s Degree in Information Technology, Software Engineering, Computer Science, Mathematics,
or another related field


Technical skills and knowledge
• 5+ years of the following language: SQL, Python, Scala
• 5+ years of experience in data engineering
• Strong understanding of Databricks platform
• Experience with Big Data Batch processing and Azure Cloud Services
• Practical knowledge of Apache Spark ecosystem, including Delta and Parquet data formats
• Experience with complex ETL design and implementation
• Experience with data analysis, data profiling, data integration, data quality, data warehousing, data
reporting
• Experience with CI/CD automation processes and tools such as Jenkins/GitLab


Additional/nice to have:
• Familiarity with AI-powered productivity tools such as Copilot or Cursor, and their practical use in dayto-day software development workflows (e.g. code generation, documentation, task automation, or
debugging support).
• Experience working in an Agile environment
• Experience with database design and modelling
• Previous experience with healthcare or pharmaceutical data would be an advantage
• Knowledge of algorithms & design patterns and how to apply them effectively
• Experience with large data volume (TBs’) processing 


Personal skills and behaviours
• Excellent analytical & troubleshooting skills
• Strong collaboration, written, and verbal skills
• Familiarity with project management concepts, specifically Agile/Scrum
• Ability to present complex results in a clear language for both technical and nontechnical audience
• Experience collaborating with teams from Europe, with an understanding of cross-cultural
communication and remote delivery dynamics
• A great team player mindset