Data Engineer (w/m/d)
On-siteOldenburg, Lower Saxony, Germany
Job Summary
Conduct modern data platform architecture and development for clients ranging from startups to DAX corporations using the Modern Data Stack. Orchestrate reliable, cost-optimized ELT processes to consolidate data from diverse sources into warehouses like Snowflake, Databricks, or BigQuery across AWS, Azure, and GCP. Design scalable data solutions in cross-functional teams while exploring emerging technologies and trends. Collaborate with data analysts and business stakeholders to ensure dashboards remain up-to-date. Join a small, motivated team in Oldenburg to actively shape company growth, supported by comprehensive certification funding and full equipment provision.
Required Qualifications
- first experiences in data processing in the cloud
- Data Warehouse
- Data Lake
- Data Lakehouse
- Snowflake
- BigQuery
- Databricks
- relational database technologies
- performant SQL
- one or more programming languages
- Python
- Java
- Scala
- Cloud-native infrastructure
- IAM
- Networking
- Docker
- AWS
- Azure
- GCP
- fluent German language skills (at least C2 level)
Desired Qualifications
- passion for the topic 'Data'
- self-reliance in finding the best solution for current challenges
- willingness to learn new things day after day in a highly motivated team
- hands-on expertise in the use of relational database technologies
- knowledge in the application of Snowflake, BigQuery or Databricks
- experience in the implementation of cloud-native infrastructure
- willingness to actively participate in the shaping of our growth
- flexible working hours
- possibility of home office
- 30 vacation days
- 2 Workations per year in Denmark and the Canary Islands
- full equipment for office and home (MacBook, monitors, tools)
- cost coverage for certificates
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