Mid/Senior Business Intelligence & Data Warehouse Engineer (w/m/d)
Mid/Senior Business Intelligence & Data Warehouse Engineer (w/m/d)
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Job Description
Keleya is revolutionizing pregnancy care with innovative digital products designed to support expectant and new parents. Our technologydriven platforms including apps built with modern tools like React Native and Flutter empower families and health professionals alike. Join us to make a meaningful impact in the digital health space.
Role Overview
Were seeking a motivated and highly autonomous BI & Data Warehouse Engineer to drive our data architecture and analytics initiatives. If you thrive on ownership can design and implement robust BI and DWH systems and love empowering teams with reliable insights youll feel right at home.
Tasks
Key Responsibilities
- Lead the design and development of our Business Intelligence architecture using SQL Python PostgreSQL Amplitude and PowerBI
- Own the endtoend development and maintenance of our automated insurance invoicing pipeline integrating it with BI and analytics systems to provide realtime visibility into reimbursement claim status and financial performance
- Collaborate with Marketing to design implement and optimize endtoend analytics for digital campaigns (email social paid content etc.)
- Develop and optimize dashboards and reports to deliver actionable business insights across the organization
- Own and evolve our cloudbased data warehouse (primarily on AWS EC2 & RDS)
- Drive connections and integrations via REST APIs to internal/external tools and SaaS products
- Create transform and document complex datasets that are robust transparent and scalable for analytics use
- Model and manage datasets for business and product reporting experimentation and regulatory needs
- Coach and train team members (technical and nontechnical) in BI tools concepts and best practices
- Build and maintain marketing data pipelines that connect product web CRM and external advertising platforms (e.g. Meta Google Ads HubSpot etc.)
Requirements
Required Skills & Experience
- 3 years experience in Data Analytics and Business Intelligence ideally with startup/scaleup exposure
- Deep handson expertise in SQL Python PowerBI PostgreSQL and AWS (EC2/RDS)
- Track record of building owning and optimizing DWH/BI architectures from scratch in fastmoving environments
- Experienced with API integrations automation and version control (GitHub)
- High degree of autonomy curiosity and ownershipcomfortable as the data expert in a small team
- Fluent in English Fluency in German is a plus
Benefits
What we offer
- Opportunity to work on meaningful digital health solutions impacting lives globally.
- Flexible working arrangements and a supportive team environment.
- Professional growth opportunities through learning and mentorship programs.
- Competitive salary and benefits package
- Hybrid work model from home and at our office in BerlinMitte
- 3 months remote work from anywhere in the world per year
- 30 vacation days
- Urban sports club membership
Our Process
- Initial Screening Call
- First Round Interview
- Technical Challenge and Interview/Presentation
- Cultural Fit Interview with Team
- Offer!
Employment Type
Full Time
