Are you ready to elevate your career in data engineering? Are you passionate about designing scalable solutions and driving innovation in data management? Join us and be a key player in our data engineering team! Here, you'll design and build reusable components and frameworks to support analytics data products at scale. Collaborate with business and technology stakeholders, clean and optimize data, and lead the charge in data architecture restructuring and new project implementations. Step into a dynamic role where you can make a significant impact on our data engineering success! EQS Group is a leading international cloud software provider in the areas of corporate compliance and investor relations. By working with EQS Group, thousands of companies worldwide inspire trust by fulfilling complex national and international disclosure obligations, minimizing risks, and communicating transparently with stakeholders.     Transparency is especially important to us. That is why we communicate all our commitments to sustainability, diversity, equality, and well-being on our homepage and our social media platforms. We do this for you, for us, for everyone – fairly and publicly.     The key to our success is hiring talented people who bring passion to the table every day, take responsibility, and support each other in the best possible way to create a trustworthy environment.   

• Impact. A high degree of personal responsibility. You can take ownership of a wide range of tasks, explore the areas you like working in, and find your way to make an impact. 
• Your growth counts. A trustworthy environment for continuous self-improvement. Access to e-learning platforms, a personal training budget, conferences, and certification courses are a few of the ways we help you grow yourself. Personal development goals, with time and guidance on achieving them, along with regular feedback from your team lead is how we support that growth. Enjoy full access to Udemy for personal and professional development. 
• Great atmosphere. Regular company-sponsored social events as well as Hackathons, a talented international team, and a common purpose to unite us. 
• Welcome to the Team. An open-minded tech organization with a “best tool for the job” attitude. Freedom to choose your tools and technology gives you plenty of room for learning and experimentation. 
• Choose your tools and equipment. Are you a Mac? A PC? Fine with us. Choose your machine, accessories, editors, and tools. We believe a comfortable engineer is a productive engineer.
• Be part of an exciting journey. You will contribute to our success story in becoming the leading European cloud provider for investor relations and corporate compliance solutions.
• Work-life balance is a must.  We offer flexibility through our hybrid-working model, conveniently arrange your working hours, and the ability to work from abroad within the EU.
• Your special extra. We offer you other exciting benefits such as salary optimization in the form of customized bonus and benefit programs, as well as corporate shopping benefits.
• Health is a priority. Enjoy company-sponsored sports programs for the use of various fitness studios, bicycle leasing via JobRad, and mental health counseling.

• Design and build reusable components, frameworks, and libraries at scale to support analytics data products.
• Design and implement product features in collaboration with business and Technology stakeholders.
• Anticipate, identify, and solve issues concerning data management to improve data quality.
• Clean, prepare, and optimize data at scale for ingestion and consumption.
• Drive the implementation of new data management projects and re-structure of the current data architecture.
• Implement complex automated workflows and routines using workflow scheduling tools.
• Build continuous integration, test-driven development, and production deployment frameworks.
• Drive collaborative reviews of design, code, test plans, and dataset implementation performed by other data engineers in support of maintaining data engineering standards.
• Analyze and profile data to design scalable solutions.
• Troubleshoot complex data issues and perform root cause analysis to proactively resolve product and operational issues. 

• 5+ years of experience in building data engineering solutions.
• Extensive experience and proficiency in working with relational databases and authoring complex SQL queries.
• Strong programming skills using Python & Java (good to have).
• Experience in designing data models for optimal storage and retrieval to meet critical product and business requirements.
• Experience building scalable data pipelines using Spark leveraging Airflow scheduler/executor framework or similar scheduling tools.
• Ability to understand and influence logging to support our data flow, architecting logging framework & best practices where needed.
• Understanding of Data Engineering tools/frameworks and standards to improve the productivity and quality of output for Data Engineers across the team.
• You’re well-versed in modern software development practices (Agile, TDD, CICD) and how they can be applied to data engineering.
• Improve data quality by using & improving internal tools/frameworks to automatically detect DQ issues.
• Experience in BI tools (Power BI, Tableau etc.).