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Engineering Lead - Data Infrastructure(m/w/x)
Designing and building enterprise data platforms on GCP and Snowflake. Extensive platform engineering experience required. Generous parental leave and childcare support.
Requirements
- Extensive experience in platform engineering or adjacent field
- Strong focus on enterprise data platforms
- Degree in Computer Science, Engineering, Information Technology, or related field (plus)
- Very strong expertise in modern data stack
- Expertise in cloud-based data platforms (GCP BigQuery, Snowflake)
- Experience in growing and leading engineering teams
- Extensive experience operating production cloud infrastructure
- Experience in complex enterprise environments
- Proficiency with IaC (e.g. Terraform)
- Proficiency with automation tooling
- Proficiency with orchestration tooling (e.g. dbt, Airflow)
- Good understanding of data governance
- Good understanding of data security
- Good understanding of IT compliance in regulated environments
- Very good programming skills in Python
- Very good programming skills in Java
- Experience with SDLC tools (Git, JIRA, Artifactory, Jenkins/TeamCity, OpenShift)
- Strong problem-solving skills
- Strategic thinking
- Attention to detail
- Proficiency in English
Tasks
- Drive design of data platforms
- Build data platforms
- Continuously improve data platforms
- Align with CTO Data
- Lead a high-impact squad
- Set technical direction
- Mentor team members
- Contribute to architecture
- Contribute to code
- Own end-to-end architecture
- Own design of data platform components
- Model data requirements
- Test data requirements
- Collaborate to understand requirements
- Create data stories
- Design data solutions
- Implement data solutions
- Help test data requirements
- Develop testing processes
- Develop quality control processes
- Collaborate with architects
- Collaborate with security engineers
- Collaborate with control functions
- Collaborate with Chief Data Office
- Improve compliance
- Improve security posture
- Improve reliability
- Translate product vision into platform capabilities
- Translate product demand into platform capabilities
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degree
Languages
- English – Native
Tools & Technologies
- GCP BigQuery
- Snowflake
- Terraform
- dbt
- Airflow
- Python
- Java
- Git
- JIRA
- Artifactory
- Jenkins
- TeamCity
- OpenShift
Benefits
Healthcare & Fitness
- Statutory Health Insurance (BKK)
Additional Allowances
- Sickness benefit allowance
- Personal Budget Accounts
- Capital-forming benefits
Mental Health Support
- Support helplines
Generous Parental Leave
- Generous parental leave
Childcare
- Childcare support
- Company kindergarten service
Retirement Plans
- Pension plans
Social Impact
- CSR strategy support
- Corporate volunteering
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Engineering Lead - Data Infrastructure(m/w/x)
Designing and building enterprise data platforms on GCP and Snowflake. Extensive platform engineering experience required. Generous parental leave and childcare support.
Requirements
- Extensive experience in platform engineering or adjacent field
- Strong focus on enterprise data platforms
- Degree in Computer Science, Engineering, Information Technology, or related field (plus)
- Very strong expertise in modern data stack
- Expertise in cloud-based data platforms (GCP BigQuery, Snowflake)
- Experience in growing and leading engineering teams
- Extensive experience operating production cloud infrastructure
- Experience in complex enterprise environments
- Proficiency with IaC (e.g. Terraform)
- Proficiency with automation tooling
- Proficiency with orchestration tooling (e.g. dbt, Airflow)
- Good understanding of data governance
- Good understanding of data security
- Good understanding of IT compliance in regulated environments
- Very good programming skills in Python
- Very good programming skills in Java
- Experience with SDLC tools (Git, JIRA, Artifactory, Jenkins/TeamCity, OpenShift)
- Strong problem-solving skills
- Strategic thinking
- Attention to detail
- Proficiency in English
Tasks
- Drive design of data platforms
- Build data platforms
- Continuously improve data platforms
- Align with CTO Data
- Lead a high-impact squad
- Set technical direction
- Mentor team members
- Contribute to architecture
- Contribute to code
- Own end-to-end architecture
- Own design of data platform components
- Model data requirements
- Test data requirements
- Collaborate to understand requirements
- Create data stories
- Design data solutions
- Implement data solutions
- Help test data requirements
- Develop testing processes
- Develop quality control processes
- Collaborate with architects
- Collaborate with security engineers
- Collaborate with control functions
- Collaborate with Chief Data Office
- Improve compliance
- Improve security posture
- Improve reliability
- Translate product vision into platform capabilities
- Translate product demand into platform capabilities
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degree
Languages
- English – Native
Tools & Technologies
- GCP BigQuery
- Snowflake
- Terraform
- dbt
- Airflow
- Python
- Java
- Git
- JIRA
- Artifactory
- Jenkins
- TeamCity
- OpenShift
Benefits
Healthcare & Fitness
- Statutory Health Insurance (BKK)
Additional Allowances
- Sickness benefit allowance
- Personal Budget Accounts
- Capital-forming benefits
Mental Health Support
- Support helplines
Generous Parental Leave
- Generous parental leave
Childcare
- Childcare support
- Company kindergarten service
Retirement Plans
- Pension plans
Social Impact
- CSR strategy support
- Corporate volunteering
About the Company
DWS International GmbH
Industry
FinancialServices
Description
DWS is a leading, client-committed, global Asset Manager making an impact on individuals, communities, and the world. Its data infrastructure team provides a secure, scalable, and trustworthy foundation for enterprise data.
Not a perfect match?
- Almedia
Data Engineer(m/w/x)
Full-timeOn-siteExperiencedBerlinfrom 190,000 / year - Prior Labs
ML Engineer, Cloud Platform(m/w/x)
Full-timeOn-siteExperiencedBerlin, Freiburg im Breisgaufrom 140,000 / year - Flink
Engineering Manager - Data & ML Platform(m/w/x)
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Senior Data Engineer(m/w/x)
Full-timeOn-siteSeniorBerlin - Trade Republic
Analytics Engineer(m/w/x)
Full-timeOn-siteSeniorBerlin