Data Engineer working on open - source Data Lakehouse and data pipeline development. Involves data integration and ensuring data quality in a hybrid work environment.
About the role
- Data Engineer responsible for designing and maintaining data pipelines at SOPHiA GENETICS. Collaborating with stakeholders to deliver actionable insights through robust data models and workflows.
Responsibilities
- Designing, building, and maintaining the data pipelines and transformations that power analytics and decision-making across SOPHiA GENETICS.
- Working closely with stakeholders from different functions to understand their use cases, translate their needs into robust data models and workflows, and ensure that data is reliable, well-structured, and ready for downstream analysis and visualization.
- Building scalable data solutions, thinking critically about what the data means, how it is produced, and how it can be used to generate actionable insights.
- Design and maintain scalable, reliable data pipelines and ETL processes that integrate seamlessly and perform efficiently across the platform.
- Optimize data workflows, queries, and resource utilization to maximize performance and cost-efficiency as data volume and complexity grow.
- Develop and implement new data features and transformations that translate stakeholder use cases into production-ready solutions.
- Automate deployment of data jobs, CI/CD pipelines, and infrastructure configurations to ensure consistency and reproducibility.
- Implement monitoring and observability across data quality, pipeline health, and performance to detect issues early and ensure reliability.
Requirements
- 2-5 years of experience working within Data Engineer (distributed data, data lakes, microservice-oriented architectures, and APIs)
- BA/MA in Computer Science or Engineering or equivalent professional experience
- Expertise with Python ETLs in a data processing environment, ideally Databricks
- Expertise with distributed big data architectures (schemas, transfers, storage, partitioning, performance monitoring and optimization)
- Solid knowledge of modern scalable database and data lake technologies, especially Spark & SQL, but also including Parquet & Delta tables.
- Experience with containerization and orchestration technologies, as well as basic DevOps processes and tooling
- Experience with software engineering best-practices, Agile, CI/CD, Unit & integration testing
- Tooling: Azure data services ecosystem, Databricks & Unity Catalog, Terraform, Gitlab
- Experience with multimodal data spanning of digital healthcare, clinical, radiomics and genomics (is a plus)
- As a public organisation facing ongoing commercial growth, you will bring a success-orientated and solutions-focused mindset that embraces team collaborations, change, growth and inclusion.
- As an international organisation, English is our primary business language and you will need to bring full fluency in English. As part of your recruitment journey, you should expect to meet English-only speakers, so for best chances of success, you should include your CV in English. Non-English CVs will be rejected at application stage.
Benefits
- Opportunity to work on cutting-edge research projects with an immediate global impact
- A flexible, friendly and international working environment with a collaborative atmosphere
- An exciting company mission that brings together science and technology to directly impact the lives of patients with life threatening illness
- A fast-growing company with plenty of opportunity for personal growth and development
- A hard technical challenge to solve with exciting modern technology - cloud computing, Big Data, DevOps, machine learning
- Forfait-Jour working types
- Health benefits for you and your family covered by 80% employer contributions
- Life Insurance and pensions contribution
- SWILE meal vouchers and home office allowances
- 25 Days Vacation
- Additional voluntary benefits including sports allowance, language courses, bank partnerships and transportation.
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