Job
In this position, you will develop data-intensive pipelines using SQL and Python, optimize costs in Snowflake, implement efficient integration techniques, and modernize existing systems into cloud architectures.
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Job technologies
Your role in the team
- As a Data Platform Engineer, you will play a key role in building and evolving a scalable, reliable data platform that enables efficient data processing, integration, and advanced analytics across the organization.
- You'll take ownership of key parts of our platform, from CI/CD to dbt and Snowflake object management.
- Design, build, and operate scalable and reliable data pipelines using SQL and Python, ensuring efficient processing while optimizing performance and cost on Snowflake and Databricks.
- Develop and manage end-to-end data workflows by combining dbt Core transformations with SchemaChange and Snowflake DCM, and implementing efficient integration patterns between platforms (e.g., external tables, Snowpipe, connectors, or bulk loads).
- Create and maintain Snowflake stored procedures while orchestrating complex workflows using tools such as Airflow, ADF, or Databricks Workflows to ensure stable and automated data operations.
- Operate and modernize existing legacy systems (e.g., PostgreSQL, Talend), supporting their gradual migration to cloud-based architectures on AWS and/or Azure, including core services such as storage, compute, IAM, and networking.
- Ensure high platform reliability by implementing robust data quality, observability, and monitoring practices (including alerting and SLAs), building and owning CI/CD pipelines in Azure DevOps, and applying security and governance standards.
Our expectations of you
Qualifications
- You have in-depth knowledge of SQL and cloud database concepts, including DDL, DML, access control (roles, RBAC, masking policies), and performance optimization, as well as solid Python skills that enable you to develop and debug code independently.
- You have a solid understanding of ETL/ELT concepts with a batch-oriented mindset and are open to evolving toward streaming, supported by strong data modeling fundamentals across normalized and analytical structures.
- You work independently, take ownership of your topics from design to production, and actively contribute to code reviews and team standards.
- You have very good English skills; German/French are a plus.
Experience
- You have 3+ years of strong hands-on experience with Snowflake in production, including performance tuning, workload management, and cost optimization, as well as strong SQL and Python skills and proven experience building reliable, scalable data pipelines.
- Experience with Databricks and PySpark (e.g., custom packages, workflows and pipelines, CI/CD with Databricks Asset Bundles) is a plus.
- You have production experience with dbt Core (CLI) as well as schema migration approaches (schemachange is a plus) and understand how to integrate modern data platforms effectively.
- You are experienced in orchestration with Airflow, cloud platforms (ideally Azure), and the operation and modernization of legacy systems, and you follow best practices in CI/CD and Git-based development.
- You bring a strong focus on data quality, observability, reliability, and platform governance, and would stand out with additional experience in Infrastructure as Code (e.g., Terraform), open table formats (Delta Lake, Iceberg), streaming technologies (e.g., Kafka, Event Hubs, Kinesis), FinOps practices, or data contracts and schema evolution.
What we offer
- In addition to our range of benefits, such as 30 fixed vacation days per year and flexible working hours, this role offers you a modern tech environment.
- Work with state-of-the-art tools and technologies in a collaborative and forward-thinking data environment.
- Close collaboration with various teams in an open and supportive working environment that fosters continuous learning and skills development.
- Additional perks and benefits include job bike leasing, EV charging stations, public transport tickets, access to a company doctor, and height-adjustable desks in the office.
Benefits
Work-Life-Integration
Topics you will work on
Job locations
About your employer
Eucon is a digital pioneer of data and process intelligence. As a trailblazer for digital transformation, Eucon has been supporting companies in the automotive, insurance and real estate industries since 1997 to digitize their processes, use data assets valuably and implement digital business models.
- 250+ Employees
- 1997
- Established Company
- Onsite, Hybrid, Full Remote
- Internet, IT, Telecommunication
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