Job Specifications
Are you a data engineer with a passion for building reliable, modern data platforms and turning complex data into meaningful insights? Are you looking for a team that embraces fresh ideas, encourages an agile approach, and ensures your voice is heard and your contributions truly make an impact?
If this sounds like you and you are driven by purpose, join the SOPHiA GENETICS Software Engineering team as our new Data Engineer, and enable us to make a positive impact on the outcomes for cancer and rare disease patients worldwide.
Enjoy the flexibility of a hybrid work schedule allowing 2 days PW home working, collaborating closely with colleagues in our Bidart corporate office. Please note: CVs should be in English for successful review
Our Mission
We believe there is a smarter, more data-driven way to make decisions in healthcare and our cloud-native AI powered SOPHiA DDM Platform makes that vision a reality on a daily basis. You will have direct input to our mission to democratize data-driven medicine for the ultimate benefit of cancer and rare disease patients across the globe.
Your Mission
Your mission touches the core of what we do as a company. SOPHiA has been built around genomics and multimodal data and you we be one of the gateways to bringing value from that data. As our Data Engineer, you will be responsible for designing, building, and maintaining the data pipelines and transformations that power analytics and decision-making across SOPHiA GENETICS. You will work 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. Your role sits at the intersection of engineering and business: you will not only build scalable data solutions, but also think critically about what the data means, how it is produced, and how it can be used to generate actionable insights.
The value you add
Backend System Development & Maintenance - Design and maintain scalable, reliable data pipelines and ETL processes that integrate seamlessly and perform efficiently across the platform.
System Optimization & Scaling - Optimize data workflows, queries, and resource utilization to maximize performance and cost-efficiency as data volume and complexity grow.
New Feature Development & Custom Job Creation - Develop and implement new data features and transformations that translate stakeholder use cases into production-ready solutions.
Deployment & Infrastructure Automation - Automate deployment of data jobs, CI/CD pipelines, and infrastructure configurations to ensure consistency and reproducibility.
Monitoring & Observability - Implement monitoring and observability across data quality, pipeline health, and performance to detect issues early and ensure reliability.
Requirements
We know that every background is different, but to be best set for success we see you bringing:
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
You will be joining an organization with the patient at the heart of every decision and action, driven by purpose as we drive exponential growth.
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 ple
About the Company
SOPHiA GENETICS was founded in 2011 by biologists who had a vision to create a technology that could make a positive and lasting impact on the world, using data for good.
We’ve built a revolutionary technology platform, SOPHiA DDM™, that rapidly distills complex data into actionable insights, enabling clinicians, researchers, and biopharma to reshape the way that we diagnose and treat cancer and rare inherited disorders.
The AI fueling our platform learns from the complex genomic and multimodal data provided by our com...
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