K
Kaia Health Software GmbH
Analytics Engineer
Hybrid
Full Time
#Technology
#Healthcare
#Digital
#SQL
#DBT
#Python
#Airflow
#Metabase
#Data Modeling
#Snowflake
#Fivetran
#Docker
#AWS
Kaia Health Software GmbH is looking for a Analytics Engineer
Full TimeSeniorHybridTechnologyHealthcareDigitalSQLDBTPythonAirflowMetabaseData ModelingSnowflakeFivetranDockerAWSEnglishRemote workHybrid workFlexible hours
Kaia is a mission-focused health technology company.
Our story began in 2016, when our founders Konstantin Mehl and Manuel Thurner, set out on a mission to bring affordable and accessible relief to millions of people with chronic conditions. No strangers to chronic pain themselves, they decided to innovate ways to remove the obstacles many people experience in getting the leading-edge care they need in order to live their best lives.
How do Kaia apps work? Kaia uses a dynamic AI-powered algorithm. Our programs are based on multimodal rehabilitation, a holistic approach to managing chronic conditions. Our users have easy access via smartphone and tablet to our programs for back/hip/knee pain and COPD using this evidence-based approach.
Five years into our story, we are a leader in digital therapeutics, with 500,000+ users worldwide. Having raised $125 million from investors such as Optum Ventures, idInvest, and Balderton Capital. We are poised to create a global footprint in digital self-care; Kaia is patient empowerment made easy.
The regulatory landscape is quickly adapting to the digital ecosystem. Therefore, our mission and strategy bring new opportunities for exceptional talent to join our journey. With over 100 “Kaianeers” spread across the globe, we need now, more than ever, specialized talent to help take our mission further.
We are looking for an Analytics Engineer to join our team and contribute to our effort to bring our evidence-based therapies to as many people as possible. As one of the first digital therapeutics in the markets and with the largest patient basis, we can build on our unique strengths in technology leadership and industry-leading clinical evidence.
We are considering applications from all EU countries.
Tasks:
- Maintain and develop the OLAP data model
- Plan, build, extend and test data transformations (ETL) and integrations with external data sources. Support reverse ETL pipelines
- Ensure high quality data is available for internal consumers to analyze the success of marketing campaigns, business performance and impact of product changes
- Support data governance efforts to make sure our remains accurate, consistent and compliant with regulatory requirements
- Collaborate closely with internal consumers to understand their ongoing data needs
- Build automated monitoring and alerting systems that ensure data validity and that automatically notify about business relevant anomalies in data
- Manage projects: determine which data needs are the most impactful, iteratively build solutions with internal customers, proactively communicate about timelines.
Requirements:
- Strong SQL familiarity
- Proficiency in DBT or equivalent technologies
- Production experience in Python; experience working with Airflow or equivalent is a plus
- Project management skills, like evaluating competing priorities, proactively communicating about progress, sharing information
- Familiarity with Metabase (preferred) or equivalent Business Analytics tools
- Familiarity with and willingness to implement software engineering best practices and a quality first attitude toward data pipelines
- Practical familiarity with data modeling techniques and data warehousing concepts (e.g., Star Schema, SCD2, One big table, Data Vault 2.0)
- Understanding of the modern data stack, particularly data warehousing platforms (e.g. Snowflake)
- A positive attitude and willingness to closely collaborate with and support non-technical stakeholders
- Experience working in a startup environment, demonstrating adaptability, agility, and a proactive approach.
The following would be an advantage:
- Working in highly regulated environments (finance, healthcare) and understanding of legal frameworks like GDPR
- Familiarity with data integration tools such as Fivetran, Hightouch.
Our data tech stack:
- Snowflake
- DBT
- Metabase
- Airflow
- Fivetran
- Docker, Kubernetes
- Terraform
- GitHub actions
- AWS
What we offer in Germany:
- A competitive salary
- Occupational pension plan opt-in
- Gym membership subsidy
- Mobile Plan
- Child Care subsidy opt-in
- Flexible working hours
- Transportation Allowance up to 60€ per month
- Meal allowance up to 100€ per month
- Laptop of your preference (Macbook or Windows) provided by our company
- 600€ budget for peripherals
- An annual budget of 1,200€ dedicated to your personal development and 4 personal development days off
- 24 vacation days and flexible PTO
- Complimentary access to Kaia app
- Free beers after 6pm in the office & Free fruits
- Centrally located office in Munich (Sendlinger Tor) or possibility to book a desk in a local co-working space.
Some of the benefits of being a Kaianeer:
- You can directly influence the future of digital health in a team of industry experts and digital shapers.
- You will work alongside serial entrepreneurs (previously founded and scaled another startup, Foodora).
- You’ll enjoy accessible leaders, a hybrid (home/office) or remote work environment, and flexible vacation and working times.
- We support your professional development and have a budget and PTO set aside for you just for that!
- Happy hours, team events, and knowledge-sharing sessions.
- Join us if you’re looking for an entrepreneurial adventure and an exciting place to grow personally and professionally.
K
Kaia Health Software GmbH
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