Senior Data Engineer, Ada Health
Symptoms diagnosis and treatment advisory platform
Be an early applicant
Symptoms diagnosis and treatment advisory platform
201-500 employees
Be an early applicant
201-500 employees
Company mission
Improve human health by transforming knowledge into better outcomes.
Role
Who you are
- 8+ years of experience in data engineering, incl. ETL, data modeling, data streaming, and the relevant technology stack, incl. workflow orchestration tool (eg. Airflow) and relevant language(s) (e.g. Python, SQL, Java)
- Extensive hands-on experience in building and managing end-to-end data solutions in cloud-native data platforms (strong preference for GCP)
- Experience with application of AI in data engineering tooling and processes
- Experience with DevOps best practice and tools - containerization, container orchestration, version control, CI/CD, monitoring (eg. Docker, Kubernetes, Jenkins)
- Excellent communication skills and collaborative energy, engaging with Data Engineers, Data Analysts, and other various data user stakeholders
- Nice to have: experience with infrastructure as code (e.g. Terraform) and a background within the digital health space. Experience with data regulatory frameworks (eg. GDPR, HIPAA) would also be ideal, but is not essential
What the job involves
- Ada is in a period of exciting transformation and we are looking for a Senior Data Engineer (f/m/x) to join our Data Platform team in support of AI technology, tool adoption and making a direct impact in building scalable data solutions
- Our Data Engineers at Ada are strong technical individuals who enjoy being part of a small team where one can own the whole platform and software development throughout Ada’s data ecosystem, developing solutions and data frameworks with the ultimate goal of analytics-/insights-empowerment of the company and our healthcare partners
- We are open to applicants based anywhere in Germany (this is remote position) with a preference for those located in Berlin for ease of accessing our office when necessary
- Architect and maintain ETL / data pipeline using workflow orchestration tools (Airflow, Python, SQL) and data ingestion and delivery services
- Build scalable, robust and fault-tolerant data architecture and solutions
- Design data models and warehouse structures optimal for analytics
- Collaborate with cross-functional stakeholders to lead requirements engineering and solutions development for data needs
- Continuous performance and cost optimization of data pipelines, databases and services in modern, cloud-native, data platforms
- Implement and manage data management tools (e.g. data design, catalog, quality framework)
- Embody thought leadership for data through evaluation of new data technologies and tools to enhance and operationalize data capabilities
- Implement and demonstrate monitoring and observability systems and practices for high availability, health and performance of data services and databases
- Collaborate in a small team of a Data Engineer and a Data Analyst to promote best practice in coding standards, software development approaches, and data frameworks
Our take
The global digital health market is expected to reach $221 Billion by 2026. With more than 12 million users globally, over 26.5m assessments and a suite of AI-driven enterprise solutions, Ada is is a large player in this emerging market.
The startup’s broad global reach and deep relationships with healthcare providers and professionals has allowed it to build a market-leading symptoms-diagnosis product based on Artificial Intelligence.
The product means Ada can move beyond symptom checking to help people monitor their health continuously and take proactive steps to keep it in tip-top condition. In 2023, it partnered with Pfizer to create a COVID-19 digital care journey for sufferers of the virus. That partnership, and many of Ada's other ventures mean new B2B revenue-driving opportunities from health systems, insurers and life sciences organisations.
The idea of proactive healthcare, catching a £100k per year problem when it is a £100 problem, has been a prize that digital health companies have long sought and failed. Ada's suite of products and connections is looking to buck that trend.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
43% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Feb 2022
$30m
SERIES B
May 2021
$90m
SERIES B
Total funding: $189.9m
Company benefits
- Flexible working hours and locations. You can work from home, office, or a bit of both, and you’ll receive financial support to help set up a home office space.
- Country-specific vacation allowance and 1 month's unpaid leave
- Fitness membership discounts and bike leasing scheme.
- Full Headspace subscription
- Enjoy team celebrations, coffee breaks, community days, and well-stocked fridges for more impromptu gatherings
- Continue to grow with training, mentorship programs, interdisciplinary collaboration, conferences, and free language lessons
Company HQ
Mitte, Berlin, Germany
Leadership
Claire Novorol
(Chief Medical Officer)Before founding Ada, Claire worked as a Paediatrician in London before specialising in Clinical Genetics. She has degrees in Pathology and Medicine as well as a PhD in Neuroscience from the University of Cambridge.
Daniel Nathrath
(CEO)Founded and led several internet startups based in Denmark, Germany, the US, and the UK. Earned an MBA from University of Chicago before working as a consultant for BCG.
Prof. Dr. Martin Hirsch
(Chief Scientific Advisor)Published work on nerve modeling in Nature before starting a company around a nerve modeling program that saved thousands of animals from lab testing. Martin has a PhD in neuroscience and a diploma in physiology.
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