Senior Data Engineer (m/f/d)

At Mimacom, we are always one step ahead. We develop digital products that enable companies to achieve faster, simpler, and more impressive results—whether in banking, automotive, manufacturing, or other industries. Currently, our software solutions impact the lives of 50 million users every day.

Behind each of our products is a brilliant team of people who share the same values and work together to develop solutions to real-world problems. Join Mimacom as a Data Engineer (m/f/d) and let’s create something amazing together!

Do you have a passion for analyzing complex, data-driven challenges and generating new insights? As a Data Engineer (m/f/d), you will help our clients pave the way to modern data platforms and state-of-the-art architectures and technologies. Your responsibilities include:

• Analysis & Architecture: Conduct requirements analysis and design architectures, including data architectures based on Data Vault, Hub-and-Spoke, Lambda, and Kappa.
• 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

You work in a structured and analytical way with complex databases, handling large datasets with ease, and bring innovative solutions to the big data environment? Perfect! On the technical side, you should have:

• 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
• Understanding of data governance, data catalogs, and data quality
• Experience with data platforms, data services, and data architectures
• Experience in (real-time) data engineering with Kafka and building data pipelines
• 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)

As part of our team, we offer a variety of benefits to support your personal and professional development. Here’s what you can expect:

• Modern tech stack: Databricks, Azure Synapse, Data Factory, Microsoft Fabric, Terraform, Pandas, Power BI, Python, Spark, Java, Kafka, and more
• Impact: Make a difference by driving the digital transformation of our renowned clients
• Career development & training: Personal growth, career paths, workshops, conferences, innovation projects, certifications, and more
• Flexibility: Flexible working hours, hybrid and remote work
• Additional benefits: 30 days of vacation per year, workation options, choose-your-own OS (Mac or Windows), monthly communication allowance of €50, corporate benefits, and a subsidy for occupational pension schemes