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Mid / Senior Business Intelligence & Data Warehouse Engineer (w / m / d)

keleya Digital-Health Solutions GmbHBerlin, Berlin, Germany

Vor 15 Tagen

Stellenbeschreibung

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 ownership comfortable 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!

Key Skills

Business Intelligence,Cognos,SQL,Power BI,QlikView,Data Visualization,ssrs,Tableau,SSIS,Data Modeling,Data Warehouse,Data Analysis Skills

Employment Type : Full Time

Experience : years

Vacancy : 1

Yearly Salary Salary : 65000 - 65000

Jobalert für diese Suche erstellen

Data Engineer • Berlin, Berlin, Germany