Data Engineer

General Information

Reports to: Vincent Bremer (Data Science and Machine Learning Manager)
Talent Acquisition: Julia Cramer
Salary Band: 
Professional IC L2: 64-76k € (gross, fix)* + VSOP (15% of annual gross salary)
Senior Professional IC L3: 77-96k € (gross, fix)* + VSOP (20% of annual gross salary)
*based on German benchmark, adjusted to local cost of living for remote hires
Remote-first Culture with offices in Potsdam and Berlin: This position is part of a research project supported by the state of Brandenburg. Residency around Brandenburg / Berlin is therefore necessary.

Your mission

HelloBetter is a pioneer in the field of digital healthcare. For more than 10 years, we have been developing evidence-based digital health applications for the prevention and treatment of mental health conditions. Our applications cover a variety of areas, including stress management, depression, problematic alcohol use, panic disorder and anxiety, vaginismus, and sleep disorders.
Six of HelloBetter's ten applications are approved as digital health applications. They are available free of charge by prescription to all insured adults in Germany.

For more information about HelloBetter, see our HelloBetter Handbook.

Digital mental health generates an unprecedented wealth of behavioral data in the field of psychotherapy. Our Research and Data team conducts foundational university research and directly integrates novel insights into our digital therapeutics. As a Data Engineer, you'll collaborate closely with our data analyst, psychological researchers, data scientists, and engineers to bring the potential of precision medicine and statistical learning to life in our digital therapy programs.

To learn more about our data team, we invite you to explore our team pages.

Your objectives

• Optimize end-to-end data pipeline performance by identifying and resolving bottlenecks in data processing workflows
• Develop and maintain scalable data processing solutions and backends that support both analytics and AI applications
• Integrate data sources using modern ETL/ELT practices and in-house solutions (we already have a variety of data sources connected such as bitbucket, hubspot, zendesk, rapidmail and more) and reverse ETL jobs to given sources
• Clean and transform raw data to hand over to Data Analysts and Scientists, leveraging a well-structured layer architecture in dbt
• Build and maintain robust data quality frameworks and validation processes
• Maintain and troubleshoot our data architecture and infrastructure
• Design, enhance, and maintain data processes and security best practices across all systems to ensure compliance with regulatory requirements
• Support ML & AI Engineers in building efficient data pipelines for model training
• Cooperate and contribute to our AI-driven applications by collaborating with Software/Machine Learning and AI Engineers
• Collaborate closely with the rest of the team to generate new ideas for analytical insights, reports and processes

Our Tech-Stack

• MongoDB as application database 
• Docker and Kubernetes for containerized applications    
• AWS cloud services (EC2, S3, RDS, etc.)
• Airflow and custom Python DAGs for orchestration and data extraction   
• PostgreSQL as Data Warehouse
• dbt for transforming and documenting data
• Git and Bitbucket for version control and CI/CD

Your profile

Must Haves

• Working experience as Data Engineer
• Hands-on experience with min. 75% of our Tech Stack (see above)
• Strong Python programming skills with focus on maintainable code
• Experience with CI/CD philosophy (e.g. using Bitbucket Pipelines)
• Experience in designing, developing, and maintaining secured data systems
• Familiarity with vector databases (like Pinecone or Weaviate)
• Solid understanding of data modeling and ETL/ELT patterns
• Knowledge of API design and implementation
• Knowledge of basic data security best practices

Nice To Haves

• University degree in Computer Science or similar education
• Experience with MLOps to support Data Scientists
• Experience with real-time data processing
• Knowledge of large language model (LLM) data requirements and backend tasks
• Experience in healthcare / strongly regulated spaces

Why us?

Meaningfulness 

• Mental health is a human right: we help thousands of people each month who struggle with depression, stress, insomnia, burnout, and other mental health issues

Research & Evidence

• We have a unique product and are at the forefront of research in digital health applications
• The effectiveness of our product is continuously evaluated and efficacy studies have been published in international and high-impact journals since 2014
• Data is of great importance to us and we are transparent about our strategy, goals and results.

Growth

• As pioneers in the development of applications for various mental health conditions, we are at the forefront of innovation
• We operate in an extremely exciting and emerging market 
• Annual training budget of 1,000 euros - we place great emphasis on the personal growth of our employees and actively support their development

Remote-First

• Remote-first culture - we hire globally, considering a time window of +/- 4.5 hours CET (This position is part of a research project supported by the state of Brandenburg. Residency around Brandenburg / Berlin is therefore necessary.)
• Use of our offices in Berlin and Hamburg if you prefer to work on-site
• Relocation option and support 

Diversity & Inclusion

• Fair and equal treatment are the standards of our Anti-Harassment Policy
• Flexible working hours - shape your own day
• Company language English, with a strong emphasis on inclusive language
• Transparent salary bands
• Additional 10 paid leave days for non-birth parents after the birth or adoption of a child

Other Benefits

• 28 vacation days + compensation for holidays that fall on weekends
• Tenure based paid time off - up to three additional days
• Permanent employment contract
• Attractive VSOP (Virtual Stock Option Plan) for all employees
• Tax-deductible pension plan with an above-average employer contribution
• Free or subsidized fitness memberships
• Regular team events

HelloBetter is an equal opportunity employer and encourages applicants of any national origin, gender, sexual orientation, religious background, gender identity, and people with disabilities to apply

Privacy Policy for ApplicantsInterview Process

People Team Interview (30min)  
Team Lead Interview (45min)    
Take-home Task (~120min)    
Team Round (30min)
CTO Talk (20min)

About us

HelloBetter was founded under the name GET.ON Institut für Online Gesundheitstrainings GmbH by internationally recognized researchers and psychologists in 2015. In more than 30 randomized-controlled studies, HelloBetter has developed and evaluated 10 online programs from eight specific problem areas in cooperation with Leuphana University, Friedrich-Alexander University Erlangen-Nuremberg, the Free University of Amsterdam, Harvard University and other partners. These programs serve both the prevention and treatment of classic mental illnesses such as depression, anxiety or panic disorders, but also cover topics such as vaginismus or chronic pain. This gives HelloBetter the broadest study base of all providers. 

In the meantime, six therapy programs from HelloBetter have been approved by the German Federal Institute for Drugs and Medical Devices (BfArM) as digital health applications and are available free of charge on prescription for all adults with health insurance in Germany. The work of the expert team has been published in international journals (including The Journal of the American Medical Association) and recognized with various awards (including, Wilhelm Exner Award in Psychology 2016, EFPA Comenius Award 2017, Digital Health Award 2018, EU Compass Good Practice 2018 in Mental Health). 

The company is based in Berlin and Hamburg and employs more than 130 people.

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