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Senior Data Engineer

Mimacom·Salary not specified

Primary stack

Apache KafkaPythonSQL

Nice to have's

Apache SparkGitPandas

Job description

About the Position

Senior Data Engineer

  • Bern, Zurich
  • Full time

About the Company

At Mimacom, we stay ahead of the curve. We develop digital products that enable businesses to achieve faster, easier, and more impressive results, whether it's in banking, retail, manufacturing, life sciences, or beyond. Right now, our software touches the lives of 50 million users every single day.

Behind each of our products is a brilliant group of people who share the same values, working collaboratively to create actual solutions for real problems. Join us at Mimacom as a Java / Spring Engineer and let's create something amazing together!

Responsibilities

  • Analysis & Architecture: Conduct requirements analysis and design architectures, including data architectures based on Data Vault, Hub-and-Spoke, Lambda, and Kappa.
  • Streaming & Event-Driven Data: Design, build, and operate real-time data pipelines and event-driven architectures on Apache Kafka, including topic design, Kafka Connect, and stream processing.
  • Migration: Take ownership of and oversee the migration of existing data analytics solutions to the cloud.
  • Hands-on Engineering: Responsible for the implementation, optimization, and operation of data platforms.
  • Consulting: Advise our clients on data processing, cloud, and DevOps topics, and conduct PoCs, trainings, and workshops on-site.

Requirements

  • Degree in Computer Science, Mathematics, Statistics, Information Systems, or a related field
  • Several years of hands-on experience in software development or data engineering
  • Solid knowledge of Python, relational databases, Pandas, Apache Spark, Git, and SQL
  • Strong, hands-on expertise in Apache Kafka: real-time data engineering, building and operating Kafka-based data pipelines and event-driven architectures
  • Understanding of data governance, data catalogs, and data quality
  • Experience with data platforms, data services, and data architectures
  • Experience designing data solutions on Azure, AWS, or other cloud providers (e.g., Azure Synapse, Azure Data Factory, AWS Redshift, Databricks, as well as Azure DevOps)

We Offer

  • Career Growth & Training: personal development, career paths, workshops, conferences, innovation projects, certifications & more!
  • Flextime and Hybrid Workspace
  • Company culture: Direct communication & feedback culture, annual salary reviews, high quality focus, cool team events (“Thirsty Thursday”, Hackathons, team building, etc.)
  • Further Benefits: 25 days of vacation per year (up to 30 depending on length of time with the company), choose your own OS (MacOS or Windows), monthly communication allowance of 50CHF

Contact

Maximilian Kissling

Talent Acquisition Manager

Questions? Get in touch with our Recruiter!

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