Senior Data Engineering Manager (m/w/d) in München
at BAUMLINK
München, Bayern, Germany -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 11 Oct, 2024 | Not Specified | 11 Jul, 2024 | N/A | Aws,Management Skills,Computer Science | No | No |
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Description:
SENIOR DATA ENGINEERING MANAGER* - MUNICH
My client is one of the fastest-growing travel tech companies worldwide. Their team of 500+ colleagues from 60+ nations shares a passion for modern technologies and constant improvement. They serve over 20k hosts and 100 million website users annually.
The Team You’ll Lead: You’ll be responsible for the Data Engineering team within their Business Intelligence department. Your team will be tasked with:
- Creating, maintaining, and refining core data pipeline tools, including the Data Warehouse and Data Lake
- Supporting core pipelines
- Enabling a DataMesh-based approach to support data-driven applications across teams
- Collaborating closely with data analytics and data science teams
Their Tech Stack:
- Java Applications and SDK Development: Microservices on AWS-hosted Kubernetes (EKS), Java/Kotlin SDKs for data transmission to Kafka and Firehose
- Data Environment: Airflow for scheduling, Data Build Tool (dbt-core) for pipelines, Redshift, Athena, and DuckDB for data interaction
- Serverless Architecture: Using Serverless Framework and Python for dynamic interactions with data lake
- Cloud and DevOps: Terraform, Docker, Jenkins
- Monitoring: ELK, Grafana, Looker, OpsGenie, and custom technologies
Your Role:
- Lead a high-performing cross-functional team
- Define team OKRs and manage stakeholder relationships
- Drive strategic technology decisions
- Manage cloud budget and resources
- Lead strategic team-driven projects
- Mentor engineers and participate in hiring
- Foster healthy discussions and a positive team culture
- Collaborate with C-suite executives, product leaders, and external partners
Requirements:
- Bachelor’s degree in Computer Science, related field, or equivalent experience
- Experience with Lakehouse architectures in AWS or similar setups
- Technical leadership experience
- People management skills
- Dedication to code and data reliability and quality
My Client Offers:
- Opportunity to impact millions of users monthly
- Personal development budget and 2 extra days for professional growth
- Regular events and 2 office days per week with your team
- Option to work from other local offices for up to 8 weeks per year
- 28 vacation days + possibility of 10 unpaid vacation days
- Inclusive, diverse work environment
Join my client in revolutionizing the travel tech industry!
Location: Munich
Start Date: ASAP
Salary: 130k€ (plus shares
Responsibilities:
The Team You’ll Lead: You’ll be responsible for the Data Engineering team within their Business Intelligence department. Your team will be tasked with:
- Creating, maintaining, and refining core data pipeline tools, including the Data Warehouse and Data Lake
- Supporting core pipelines
- Enabling a DataMesh-based approach to support data-driven applications across teams
- Collaborating closely with data analytics and data science team
Your Role:
- Lead a high-performing cross-functional team
- Define team OKRs and manage stakeholder relationships
- Drive strategic technology decisions
- Manage cloud budget and resources
- Lead strategic team-driven projects
- Mentor engineers and participate in hiring
- Foster healthy discussions and a positive team culture
- Collaborate with C-suite executives, product leaders, and external partner
REQUIREMENT SUMMARY
Min:N/AMax:5.0 year(s)
Information Technology/IT
IT Software - Other
Software Engineering
Graduate
Computer science related field or equivalent experience
Proficient
1
München, Germany