Job
- Level
- Experienced
- Job Field
- IT, Data, DevOps
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Münster (Hessen)
- Working Model
- Onsite
Job Summary
In this role, you will develop reliable data pipelines using SQL and Python, modernize legacy systems to the cloud, and implement robust data integration patterns for efficient data processing.
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 be contributing to a variety of projects, while developing your skills and reaching new levels of expertise.
- Design, build, and operate scalable and reliable data pipelines using SQL and Python, ensuring efficient processing while optimizing performance and cost on platforms such as Snowflake and/or Databricks.
- Develop and manage end-to-end data workflows by combining dbt-based transformations with schema migration tooling (e.g., SchemaChange or similar) 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 into cloud-based architectures across AWS and/or Azure, including core services like storage, compute, IAM, and networking.
- Ensure high platform reliability by implementing strong data quality, observability, and monitoring practices (including alerting and SLAs), while applying security, governance, and CI/CD standards within Git-based development workflows.
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Our expectations of you
Qualifications
- 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.
Experience
- You have strong hands-on experience with Snowflake, 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 is beneficial.
- You are experienced in dbt-based transformation workflows as well as schema migration approaches and understand how to integrate modern data platforms effectively.
- You are experienced in orchestration, cloud platforms (AWS and/or 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.
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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 supports continuous learning and skill development.
- Additional perks and benefits include job bike leasing, e-charging stations, public transport tickets, access to a company doctor, and height-adjustable desks in the office.
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Benefits
Work-Life-Integration
Topics that you deal with on the job
Job Locations
This is your employer
Eucon GmbH
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.
Description
- Company Size
- 250+ Employees
- Founding year
- 1997
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
Data Platform Engineer
- Location
- Münster (Hessen)
- Working Model
- Onsite
- Diversity
- Open for all genders
- English Only
- English only required
