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Senior Data Engineer mfx

Senior Data Engineer mfx

HelloBetterPotsdam, Brandenburg, Germany
Vor 2 Tagen
Stellenbeschreibung

General Information

Reports to : Vincent Bremer (Data Science and Machine Learning Manager)

Talent Acquisition : Julia Cramer

Salary Band :

Professional IC L2 : 6476k (gross fix)

  • VSOP 15 of annual gross salary)

Senior Professional IC L3 : 7796k (gross fix)

  • VSOP 20 of annual gross salary)
  • based on German benchmark adjusted to local cost of living for remote hires
  • Remotefirst 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 evidencebased 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 HelloBetters 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 ourHelloBetter 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 youll 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 endtoend 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 inhouse 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 wellstructured 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 AIdriven 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 TechStack

  • 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
  • Handson 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 realtime 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 highimpact 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 1000 euros we place great emphasis on the personal growth of our employees and actively support their development
  • RemoteFirst

  • Remotefirst 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 onsite
  • Relocation option and support
  • Diversity & Inclusion

  • Fair and equal treatment are the standards of our AntiHarassment 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 nonbirth 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
  • Taxdeductible pension plan with an aboveaverage 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 Applicants

    Interview Process

    People Team Interview 30min)

    Team Lead Interview 45min)

    Takehome Task 120min)

    Team Round with takehome task discussion 60min)

    CTO Talk 20min)

    About us

    HelloBetter was founded under the name Institut fr Online Gesundheitstrainings GmbH by internationally recognized researchers and psychologists in 2015. In more than 30 randomizedcontrolled studies HelloBetter has developed and evaluated 10 online programs from eight specific problem areas in cooperation with Leuphana University FriedrichAlexander University ErlangenNuremberg 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 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.

    Key Skills

    Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala

    Employment Type : Full-Time

    Experience : years

    Vacancy : 1