{"id":1434039,"url":"https://alion.io/job/fsp-psychologie-staff-data-engineer","title":"Staff Data Engineer","company":{"id":1868784,"name":"FSP_psychologie","domain":"psychologie.ch","url":"https://alion.io/company/psychologie-ch","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":["GB"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":90000,"max_usd":175000,"period":"year","method":"role_seniority_country_cell","sample_n":10},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Redshift","optional":false},{"name":"BigQuery","optional":false},{"name":"CI/CD","optional":false},{"name":"Dagster","optional":false},{"name":"dbt","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Prefect","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-17T08:38:22Z","employer_posted_date":"2026-09-17","last_verified_at":"2026-10-15T18:12:35Z","board_verified":true,"closed_at":null,"days_open":28,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":28},"description":"Why Oviva?\nAt 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.\nTo 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.\nOur 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.\nJoin us, and be part of the team making that future possible!\nThe role\nWe 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.\nAbout You\nStrong experience: Extensive background in professional data engineering with a proven track record of designing end-to-end data systems.\n\nTechnical 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).\n\nPipeline mastery: Practical experience building and operating batch or streaming pipelines using orchestration tools like Airflow, Prefect, or Dagster.\n\nStrong communicator: Skilled at writing clear technical specifications and explaining complex trade-offs to both technical and non-technical colleagues.\n\nGrowth mindset: Open to feedback, curious to learn, and driven to make an impact.\n\nPreferred, but not required: Experience with streaming architectures, infrastructure-as-code, or working within high-growth health-tech environments\nWhat you will do\nArchitect and build data systems: Design and implement scalable data pipelines, transformation layers, and data products with clear documentation.\n\nDrive technical quality: Define best practices for testing, data modeling, CI/CD pipelines, and data quality frameworks.\n\nLead cross-functional initiatives: Collaborate with analytics, data science, and product engineering to translate business goals into sound technical designs.\n\nEnsure reliability & performance: Proactively monitor pipeline health and optimize data infrastructure so our teams can depend on trustworthy data.\n\nEmpower the team: Support team growth through code reviews, technical pairing, and sharing knowledge\n\nWhat we offer\nA mission-driven environment focused on making a real-world impact.\n\nHigh-growth opportunities with a clear path to broader strategic leadership.\n\nA flexible remote/hybrid work culture across the UK, Germany, Switzerland and Poland.\n\nAnnual learning & development budget.\n\nHome working allowance and flexible working hours.\n\nCompetitive compensation, benefits, and inclusive policies (enhanced leave, etc.)\n\nHaving 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: \nWe put the patient first. We empower our teams. We make it happen\nOviva 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.\nReady to help shape the future of digital healthcare? 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