Description:

Dreamix is seeking a talented Data Engineer to join their team in Sofia, Bulgaria.
The company was founded 18 years ago by IT students aiming to create a supportive workplace with transparent management.
Dreamix delivers software solutions for renowned companies from Germany, the UK, Switzerland, and Silicon Valley.
The role involves designing, developing, and maintaining scalable data pipelines for processing and analyzing large volumes of data.
Responsibilities include collaborating with developers and analysts to understand data requirements, ensuring data integrity and quality.
The Data Engineer will utilize Python for scripting and coding tasks related to data processing and analysis.
The position requires implementing ETL processes to integrate data from various sources into data warehouse or data lake solutions.
Troubleshooting and resolving data-related issues to ensure the reliability and performance of data infrastructure is essential.
The role also involves optimizing data workflows for maximum efficiency and scalability.
Experience with graph databases and deploying data solutions on cloud platforms like Azure or AWS is required.
The Data Engineer will create interactive dashboards and reports using Power BI or similar tools.

Requirements:

A minimum of 4 years of relevant experience in data engineering is required.
A Bachelor's degree in Computer Science, Information Technology, or a related field is necessary.
Strong proficiency in Python for scripting and data processing is essential.
Experience with graph databases for modeling and querying complex data relationships is required.
A strong understanding of data warehousing concepts and experience with databases like SQL Server, Oracle, or PostgreSQL is necessary.
Hands-on experience with cloud platforms such as Azure or AWS, including data services like Azure Data Factory or AWS Glue, is required.
Proficiency in using Power BI or similar tools to develop data visualizations and reports is essential.
Excellent problem-solving and communication skills are necessary.
The ability to work independently and collaboratively in a fast-paced environment is required.
Fluency in English (written and verbal) is essential.
A demonstrated ability to learn and apply new technologies quickly is necessary.
Nice to have: Experience with big data technologies such as Apache Spark or Hadoop, familiarity with containerization and orchestration tools like Docker and Kubernetes, experience with CI/CD pipelines and version control systems like Git, and experience in data engineering for ML solutions and MLOps.

A warm and supportive work environment where employees can reach their full potential is provided.
Flexible working hours are offered to help balance work and personal life.
Unlimited home office options are available to enhance productivity.
Opportunities for professional development, including certifications and training, are provided.
Additional benefits for academic teaching and speaking engagements are available.
Knowledge-sharing sessions are organized to facilitate learning from the Dreamix team.
Team and company-wide events are held to foster community.
Amazing week-long summer office and winter office initiatives are part of the benefits.
Additional health insurance and dental allowance are provided to ensure employee well-being.
A multisport card is offered to encourage a healthy and active lifestyle.
Office massages are available to help employees relax and unwind.