Senior Data Engineer
About The Position
Dreamix was founded 20 years ago by passionate IT students, who wanted to create the dreamiest workplace where everyone is heard, works under transparent management, and lives up to their full potential. Now, many years later, we deliver software solutions for renowned companies from Germany, the UK, Switzerland, and Silicon Valley. Dreamix provides quality software services and products for top enterprises around the world through Java and Web technologies. We believe that the employer-employee relationship must be in the form of partnership not transaction. We are committed to investing as much as possible in our employees and we expect the same from you. Culture is what makes us different as we strongly believe in striving for mastery, teamwork, knowledge sharing, proactivity, a healthy lifestyle, and personal development. We are looking for a Senior Data Engineer – Big Data & Real-Time Ingestion to join a new project focused on the modernization of a large-scale data platform. The project involves migrating an existing Data Lake and Data Warehouse to a modern architecture designed around real-time data ingestion and streaming. You will contribute to building scalable data pipelines, processing high volumes of data, and enabling real-time analytics within a modern Big Data ecosystem.
Requirements
- 5+ years of experience in Data Engineering, preferably working with large-scale data platforms
- Strong hands-on experience with data ingestion, data pipelines, and distributed data processing
- Solid experience with real-time data streaming and event-driven architectures
- Strong understanding of Data Lake and Data Warehouse architectures
- Hands-on experience with Apache Flink or similar stream-processing technologies
- Experience with Apache Iceberg or other modern data lakehouse technologies
- Good understanding of data modelling, data quality, performance optimization, and scalable data architectures
- Experience working with cloud and/or distributed environments
- Strong problem-solving and communication skills
- Ability to work independently and contribute to architectural and technical decisions
Nice To Haves
- Experience with Apache Fluss, Apache Hop, Telegraf, Apache Polaris, StarRocks, Helical Insight, or Grafana
- Experience with other modern open-source Big Data and streaming technologies
Responsibilities
- Designing and implementing real-time and batch data ingestion pipelines
- Contributing to the migration of existing Data Lake and Data Warehouse solutions
- Building scalable streaming and data processing solutions
- Working with high-volume data and optimizing pipelines for performance, scalability, and reliability
- Designing solutions that support low-latency data ingestion and real-time analytics
- Ensuring data quality, consistency, and reliability across the platform
- Collaborating with Data Engineers, Architects, and other technical stakeholders to define and implement the target architecture
- Contributing to technical decisions and the evolution of a modern, real-time data ecosystem
Benefits
- Flexible working hours
- Unlimited home office
- Opportunities for professional development, including certifications and training
- Additional benefits for academic teaching and speaking engagements
- Knowledge-sharing sessions
- Team and company-wide events
- Amazing week long summer office and winter office initiatives
- Additional health insurance
- Dental allowance
- Multisport card
- Office massages
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
