TL;DR
(Senior) Data Engineer (German Speaking): Designing, implementing, and maintaining data pipelines and architectures for clients, with an accent on Big Data, cloud infrastructure, and distributed algorithms. Focus on transforming diverse data sources into business-ready insights and collaborating on machine learning model creation.
Location: This is a hybrid role based in Germany, with offices in Eschborn, Stuttgart, Hannover, Munich, and Hamburg.
Company
hirify.global is a global transformation partner founded in Switzerland in 1968, specializing in engineering and innovation to help clients build future-proof businesses across Europe and Asia.
What you will do
- Design, implement, and maintain data pipelines and architectures.
- Navigate Big Data environments in cloud or on-premises data centers.
- Access diverse data sources efficiently and reproducibly.
- Design, test, and monitor distributed data processing pipelines.
- Collaborate with data scientists on machine learning model creation.
- Develop meaningful dashboards to visualize processed data.
Requirements
- Comfortable with Big Data, massively scalable databases, cloud infrastructures, and distributed algorithms.
- Several years of experience in technical roles with a passion for sustainable software development.
- Expertise in Python and SQL, with hands-on experience or a strong interest in Apache Spark, Airflow, RDBMS & NoSQL Databases, and DevOps.
- Good understanding and experience with Amazon AWS and MS Azure.
- Hold a university degree in Computer Science, Mathematics, or a similar field.
- Fluency in both German and English is required.
Nice to have
- Experience working on Data Platform projects using Databricks.
Culture & Benefits
- Flexible working hours and the possibility to work from home.
- Profit share scheme in addition to annual salary.
- Access to a global and diverse hirify.global community across 17 offices, fostering learning and celebrating.
- Commitment to continuous personal and professional development through investment in growth.
- Opportunity to be respected for your work and trusted to work independently.
- Belief in technology's positive impact on society and ability to shape the company's future.
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