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Why Oviva?
At Oviva, we’re on a mission to make sustainable, personalized, clinically effective care accessible to everyone as we build Europe’s leading AI-powered chronic care platform. Our digital programmes help people manage weight-related illnesses by focusing on what matters most: improving health, building confidence, and enhancing quality of life.
To date, we have supported over one million people across the UK, Switzerland, and Germany. Our mission is powered by a dedicated team operating across four countries, including our hub in Poland. Every conversation, coaching session, and line of code brings us closer to a healthier future.
Our journey is accelerating: In 2026, we secured €200 million in Series D funding led by Kinnevik and a group of leading global investors. This investment fuels our next phase of growth, allowing us to scale our AI-enabled chronic care platform across Europe and expand our support to even more people living with chronic conditions.
Join us, and be part of the team making that future possible!
We are looking for a Staff Data Engineer
We are looking for a Staff Data Engineer to join our Data Platform team and help shape how we collect, model, and serve data across our entire organization. In this role, you will take ownership of building reliable, scalable data systems from source ingestion through to end-to-end data products.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Key Requirements
- Strong experience: Extensive background in professional data engineering with a proven track record of designing end-to-end data systems.
- Technical proficiency: Solid expertise in SQL and Python, experience with cloud data warehouses (e.g., BigQuery, Snowflake, or Redshift), and data transformation tools (such as dbt).
- Pipeline mastery: Practical experience building and operating batch or streaming pipelines using orchestration tools like Airflow, Prefect, or Dagster.
- Strong communicator: Skilled at writing clear technical specifications and explaining complex trade-offs to both technical and non-technical colleagues.
- Growth mindset: Open to feedback, curious to learn, and driven to make an impact.
Preferred, but not required
- Experience with streaming architectures, infrastructure-as-code, or working within high-growth health-tech environments
Key Responsibilities
- Architect and build data systems: Design and implement scalable data pipelines, transformation layers, and data products with clear documentation.
- Drive technical quality: Define best practices for testing, data modeling, CI/CD pipelines, and data quality frameworks.
- Lead cross-functional initiatives: Collaborate with analytics, data science, and product engineering to translate business goals into sound technical designs.
- Ensure reliability & performance: Proactively monitor pipeline health and optimize data infrastructure so our teams can depend on trustworthy data.
- Empower the team: Support team growth through code reviews, technical pairing, and sharing knowledge


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Benefits
- A mission-driven environment focused on making a real-world impact.
- High-growth opportunities with a clear path to broader strategic leadership.
- A flexible remote/hybrid work culture across the UK, Germany, Switzerland, and Poland.
- Annual learning & development budget.
- Home working allowance and flexible working hours.
- Competitive compensation, benefits, and inclusive policies (enhanced leave, etc.)
Having a culture that people want to work in, is very important to us. We do this by keeping our values at the forefront of everything we do:
- We put the patient first.
- We empower our teams.
- We make it happen.
Oviva is passionate about creating an inclusive culture that celebrates diverse voices and perspectives. We are proud to be a Disability Confident Employer and welcome applicants from all backgrounds and identities.
Ready to help shape the future of digital healthcare? Apply today.
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