Data Engineer

When tackling complex data integration and analysis challenges, CROZ is the ultimate partner you can rely on. For years, the company has been leading the way in improving various services such as Data Warehousing, Business Intelligence, Data Lakes, Data as a Product, and Data Governance from the perspectives of implementation, consulting, management and education services. 

We actively explore new technologies and methodologies that significantly impact the development cycle of data platform solutions. Our internal R&D initiative is dedicated to adhering to best practices and continuously challenging our work with innovative ideas, methodologies, and technologies. 

• Advanced Data Integration: You are eager to utilize sophisticated data integration patterns, such as ETL, CEP, CDC, etc. 
• Modernized Enterprise Data platforms: You are passionate about crafting and architecting Data platforms using concepts like Data Mesh, Data as a Product, Lakehouse, Data fabric, Data Lake, etc., using a Platform Engineering approach. 
• Data Anonymization: You have always wanted to play a crucial role in ensuring the privacy and security of sensitive information within our data ecosystems.
• Data Quality and Governance: You are willing to work with projects, technologies, and tools dedicated to Data Quality Management and Governance using Data Contracts. 
• Cloud Technologies: You are experienced with or interested in exploring cloud-based and hybrid-cloud solutions to enhance our data product services. 
• Data Visualization: You are passionate about transforming information into engaging, interactive dashboards that facilitate decision-making. 
• Modern Analytics: You are enthusiastic about utilizing advanced analytics techniques, including predictive analysis and data mining, to derive insights from diverse data environments. 
• Data Modelling and Integration: You want to sustainably develop innovative data models (Data at Rest) and robust integration processes (Data in Motion). 
• Knowledge Sharing: You enjoy participating in tech meetings where we share our knowledge, experiences, and best practices to foster continuous learning and improvement. 
• Analytical and Agile Approach: You possess a thorough and curious mindset, framing critical questions to comprehend tasks from both business and technical perspectives. 

• Strong Analytical Abilities: You possess a deep understanding of data analysis and statistical methods.
• Proficient in Programming Languages: You are skilled in SQL, Python, or Java. 
• Experience with Data Tools: You have hands-on experience with at least one of the data integration tools like DataStage, Informatica, Talend, Apache Nifi, Spark. 
• Knowledge of Data Warehousing: You are familiar with data warehousing concepts and tools like Snowflake and building and understanding dimensional modeling. 
• Expertise in Business Intelligence: You can efficiently use BI tools such as Cognos, Power BI. 
• Understanding of Data Governance: You know data governance frameworks and practices. 
• Cloud Proficiency: You have experience working with cloud platforms like AWS, Azure, or Google Cloud. 
• Excellent Communication Skills: You can convey complex technical concepts to technical and non-technical stakeholders. 
• Project Management: You have experience managing or working within Agile project management frameworks.

• Certifications: Possession of relevant certifications such as AWS Certified Data Analytics, Google Professional Data Engineer, or similar. 
• Experience with Big Data Technologies: Familiarity with Hadoop, Spark, or other big data technologies. 
• Machine Learning Knowledge: Basic understanding or hands-on experience with machine learning frameworks and tools. 
• Planning Analytics: Experience with planning analytics tools such as IBM Planning Analytics (TM1), or similar platforms for financial and operational planning. 
• DevOps Skills: Experience with DevOps practices and tools, including CI/CD pipelines. 
• Security Awareness: Understanding of data security principles and practices, including GDPR compliance. 
• Open-Source Contributions: Contributions to open-source data projects or active participation in data communities. 
• Foreign Language Skills: Proficiency in additional languages (German), especially relevant to our international projects in the DACH region.

• On-site canteen (we're talking breakfast and lunch 😊),
• Additional health insurance or annual check-ups (you can choose the one that best fits your needs)
• Covered transportation costs, Christmas bonus etc.
• Mentors: Your designated team lead is always there for technical support, project consultations, and ensuring smooth operations and continuous learning
• Top notch work equipment (if you have always dreamed of having a wide curved monitor look no further)
• Company teambuildings 
• Family well-being: salary supplement for having 3+ children under 18, annual gifts for kids up to 15, gift for newborns, extra day off for parents of first graders, and more :)
• Pet friendly offices 🐾
• Education is very important to us so we will support your desire to learn in every way we can
• Regular 1-on-1s with your manager: someone who helps you navigate technical and organizational questions while ensuring your personal development and our business direction stay aligned
• CROZiversary: from your 1st to your 10th (and beyond!) work anniversary – we’ve got surprises planned because at CROZ, every milestone deserves a celebration