DWS International GmbH
Platform Engineer(m/w/x)
Full-timeWith HomeofficeExperienced
Berlin
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MEMerantix Momentum
AI Platform Engineer(m/w/x)
Berlin
Full-timeWith Home OfficeExperienced
AI/ML
Nejo AI Summary
Building and operating internal analytics platforms with dbt and GCP BigQuery. Python and SQL proficiency required. Visa sponsorship, annual learning budget, weekly AI innovation events.
Requirements
- MSc in Computer Science, Software Engineering, or related technical field, or equivalent experience
- Strong SQL proficiency and dbt experience
- Hands-on experience building and maintaining data pipelines and ETL/ELT processes
- Python proficiency for data processing and automation
- Cloud data platforms experience (preferably GCP BigQuery, AWS/Azure transferable)
- Familiarity with data orchestration tools (Airflow, Prefect, or similar)
- Understanding of data modeling, warehousing concepts, and analytics engineering best practices
- Some exposure to containerization technologies (Docker) and infrastructure tools
- Understanding of CI/CD processes and version control
- Experience with monitoring and observability tools
- Interest in learning Infrastructure as Code tools like Terraform
- Excellent communication skills
- Initiative and self-motivation
- Enthusiasm for problem-solving and groundwork contribution
- Empathy and openness to new ideas and perspectives
- Fluency in English
Tasks
- Build and maintain data pipelines using dbt, SQL, and modern data stack tools
- Develop robust data models and transformations for analytics and machine learning
- Implement data quality frameworks and monitoring with tools like Great Expectations
- Collaborate with data scientists, analysts, and stakeholders to create scalable data solutions
- Lead the operation and enhancement of the internal analytics platform
- Design and implement data validation, testing, and documentation standards
- Learn and contribute to Infrastructure as Code (IaC) solutions
- Take ownership of data infrastructure optimization and scaling
- Support the enhancement of orchestration tools like Flyte and Airflow
- Develop internal development tools for data and engineering teams
- Participate in open-source projects and contribute to the data engineering community
- Collaborate with client teams, including CV, NLP, and Fullstack, to deliver data-driven solutions
Work Experience
- approx. 1 - 4 years
Education
- Master's degree
Languages
- English – Native
Tools & Technologies
- SQL
- dbt
- Python
- GCP BigQuery
- AWS
- Azure
- Airflow
- Prefect
- Docker
- Terraform
Benefits
Other Benefits
- Visa sponsorship
Learning & Development
- Annual learning and development budget
Team Events
- Weekly AI innovation events
- Monthly AI innovation events
Flexible Working
- Flexible work-from-home policy
- Flexible working hours
Workation & Sabbatical
- Sabbatical leave
Modern Office
- Brand new office space
Modern Equipment
- Hardware allowance
Additional Allowances
- Monthly mobility allowance
- Monthly sports allowance
- Monthly grocery allowance
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Merantix Momentum and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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MEMerantix Momentum
AI Platform Engineer(m/w/x)
Berlin
Full-timeWith Home OfficeExperienced
AI/ML
Nejo AI Summary
Building and operating internal analytics platforms with dbt and GCP BigQuery. Python and SQL proficiency required. Visa sponsorship, annual learning budget, weekly AI innovation events.
Requirements
- MSc in Computer Science, Software Engineering, or related technical field, or equivalent experience
- Strong SQL proficiency and dbt experience
- Hands-on experience building and maintaining data pipelines and ETL/ELT processes
- Python proficiency for data processing and automation
- Cloud data platforms experience (preferably GCP BigQuery, AWS/Azure transferable)
- Familiarity with data orchestration tools (Airflow, Prefect, or similar)
- Understanding of data modeling, warehousing concepts, and analytics engineering best practices
- Some exposure to containerization technologies (Docker) and infrastructure tools
- Understanding of CI/CD processes and version control
- Experience with monitoring and observability tools
- Interest in learning Infrastructure as Code tools like Terraform
- Excellent communication skills
- Initiative and self-motivation
- Enthusiasm for problem-solving and groundwork contribution
- Empathy and openness to new ideas and perspectives
- Fluency in English
Tasks
- Build and maintain data pipelines using dbt, SQL, and modern data stack tools
- Develop robust data models and transformations for analytics and machine learning
- Implement data quality frameworks and monitoring with tools like Great Expectations
- Collaborate with data scientists, analysts, and stakeholders to create scalable data solutions
- Lead the operation and enhancement of the internal analytics platform
- Design and implement data validation, testing, and documentation standards
- Learn and contribute to Infrastructure as Code (IaC) solutions
- Take ownership of data infrastructure optimization and scaling
- Support the enhancement of orchestration tools like Flyte and Airflow
- Develop internal development tools for data and engineering teams
- Participate in open-source projects and contribute to the data engineering community
- Collaborate with client teams, including CV, NLP, and Fullstack, to deliver data-driven solutions
Work Experience
- approx. 1 - 4 years
Education
- Master's degree
Languages
- English – Native
Tools & Technologies
- SQL
- dbt
- Python
- GCP BigQuery
- AWS
- Azure
- Airflow
- Prefect
- Docker
- Terraform
Benefits
Other Benefits
- Visa sponsorship
Learning & Development
- Annual learning and development budget
Team Events
- Weekly AI innovation events
- Monthly AI innovation events
Flexible Working
- Flexible work-from-home policy
- Flexible working hours
Workation & Sabbatical
- Sabbatical leave
Modern Office
- Brand new office space
Modern Equipment
- Hardware allowance
Additional Allowances
- Monthly mobility allowance
- Monthly sports allowance
- Monthly grocery allowance
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Merantix Momentum and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Merantix Momentum
Industry
IT
Description
The company is a Berlin-based AI startup focusing on accelerating AI adoption across many industries through B2B solutions and research projects.
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