Staff Data Engineer

🕒 August 6

🌐 Germany, United Kingdom, +2 more countries – Remote

🇩🇪 Germany – Remote 🇬🇧 United Kingdom – Remote 🇨🇭 Switzerland – Remote 🇵🇱 Poland – Remote

⏰ Full Time

🔴 Lead

🚰 Data Engineer

👻 Ghost score 15%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Oviva

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2013

🏥 Healthcare

☁️ SaaS

👥 B2C

Healthcare • SaaS • B2C

Oviva is a digital health company that combines personalised dietary advice delivered by clinicians with a dedicated mobile app and behavioural support to help people change habits and improve long-term health. Founded in 2014, Oviva operates in Switzerland, the United Kingdom and Germany and reports over 420 clinicians (dietitians, psychologists, doctors) and 900K+ people treated globally; it publishes studies and uses AI in its application. Oviva positions itself as a European leader in digital dietary advice and digital health.

📋 Description

• Design and implement scalable data pipelines, transformation layers, and data products with clear documentation. • Define best practices for testing, data modeling, CI/CD pipelines, and data quality frameworks. • Collaborate with analytics, data science, and product engineering to translate business goals into sound technical designs. • Proactively monitor pipeline health and optimize data infrastructure so teams can depend on trustworthy data. • Support team growth through code reviews, technical pairing, and knowledge sharing.

🎯 Requirements

• Extensive professional data engineering experience with a proven track record designing end-to-end data systems. • Solid expertise in SQL and Python. • Experience with cloud data warehouses such as BigQuery, Snowflake, or Redshift. • Experience with data transformation tools such as dbt. • Practical experience building and operating batch or streaming pipelines. • Experience with orchestration tools such as Airflow, Prefect, or Dagster. • Ability to write clear technical specifications and explain complex trade-offs to technical and non-technical colleagues. • Openness to feedback, curiosity to learn, and drive to make an impact. • Preferred but not required: experience with streaming architectures, infrastructure-as-code, or high-growth health-tech environments.

🏖️ 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.)