Job Description
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.
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.
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 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
Our benefits package is comprehensive, but varies internationally in-line with local standards and laws. You can discuss a full breakdown with us, but as a brief overview:
- 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.
Our DNA
Like the strands of DNA itself, SOPHiA GENETICS and the team are deeply interconnected and reliant on each other to deliver. There are common threads across the team. Things that bind us together. Those things are Relentless Curious; Resilient & Nimble and Fearlessly Adventurous
Our Virtues
At SOPHiA GENETICS we established our 7 Virtues to clarify how our principles show up each day through action. We Decide; We Do; We Collaborate; We Innovate; We Empower; We Adapt and We Learn.
At the centre of our Virtues is our Mantra, We Care, which provides a constant reminder of the compassionate, benevolent, and hopeful nature of our mission and how it should be threaded through each of our Virtues and everything we do. Learn more about our DNA and Virtues on our Careers portal
The process
We use the power of AI to help our partners make decisions. If you’re utilising AI in your search and application process, why not use some of these prompts, or read our AI guide.
‘What impact can I expect to have on the world by working at SOPHiA GENETICS?’
‘I have an interview with SOPHiA GENETICS. What should I know before I meet with them?’
‘I am a *job title* - What can SOPHiA GENETICS offer my career?’
Apply now with your CV and any supporting information.
For a fair, consistent and transparent process, we request all candidates should complete an application through our career page or an external job posting. Whilst we aim to respond to message and enquiries about vacancies, we cannot accept applications through email or messages on another platform (i.e. LinkedIn; Xing) alone. We are aware of some third-party organisations republishing both current and expired job postings without our consent, in the interest of collecting personal information. If you have any concerns about the legitimacy of this job posting, or any other vacancy, you can compare it to open postings directly on our careers page ( https://careers.sophiagenetics.com/jobs/search ).
Suitably qualified candidates will be invited through an interview and screening process where you will speak with members of our Talent Acquisition Team, the hiring leader alongside key colleagues and stakeholders from across the business.
If you need additional support or accommodations for accessibility, please contact our TA team for assistance on [email protected]
We appreciate the value external partners can bring, but we operate a direct-hiring model and we are not looking to utilise agency support at this time. All hiring is controlled by Talent Acquisition, potential partners should liaise through TA and not our hiring teams please.
Starting Date: H1, 2026
Location: Bidart, France (Hybrid)
Contract: Permanent, Fourfait-jour.
