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Senior Data Engineer


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    Tech Stack / Изисквания

    Dreаmix was founded 17 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.

    At Dreamix, we are actively seeking a talented Senior Data Engineer to join our team. We are on the lookout for an individual with a robust skill set in data engineering, particularly in Python, Spark, Talend, and Cloudera. If you are passionate about creating seamless data solutions, thrive in a collaborative environment, and are eager to contribute to the success of our data-driven initiatives, we invite you to apply.


    • Design, develop, and maintain scalable data pipelines for processing and analyzing large volumes of data
    • Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and ensure data integrity and quality
    • Utilize your expertise in Python for scripting and coding tasks related to data processing and analysis
    • Implement ETL processes using Talend or a similar tool to integrate data from various sources into our data warehouse
    • Work with Cloudera or a similar tool to manage and optimize big data storage and processing
    • Troubleshoot and resolve data-related issues, ensuring the reliability and performance of our data infrastructure
    • Stay abreast of emerging trends and technologies in the data engineering space and make recommendations for continuous improvement


    • A minimum of 5 years of relevant experience in data engineering
    • Bachelor’s degree in Computer Science, Information Technology, or a related field
    • Strong proficiency in Python for scripting and data processing
    • Demonstrable experience with Apache Spark
    • Hands-on experience with Talend or a similar ETL tool
    • Familiarity with Cloudera or a similar big data platform
    • Solid understanding of data modeling, database design, and data warehousing concepts
    • Excellent problem-solving and communication skills
    • Ability to work independently and collaboratively in a fast-paced environment

    What you will get:

    • A warm and supportive work environment where you can reach your full potential
    • Flexible working hours that allow you to balance your work and personal life
    • Unlimited home office to help you stay productive and focused
    • Opportunities for professional development, including certifications and training
    • Additional benefits for academic teaching and speaking engagements
    • Knowledge-sharing sessions where you can learn from our Dreamix team
    • Team and company-wide events that bring us together
    • Amazing week long summer office and winter office initiatives
    • Additional health insurance and dental allowance to ensure your well-being
    • Multisport card to encourage a healthy and active lifestyle
    • Office massages to help you relax and unwind

    If you find the mentioned above interesting, send us your CV!

    Only shortlisted candidates will be contacted. The confidentiality of all applications is assured!

    By applying for this job, you voluntarily agree and submit your personal information. Any personal data that you provide will be processed in strict confidentiality by Dreamix ltd. only for the purposes of selection and recruitment and will not be transferred to other data controllers unless required by law. It will be stored, processed, retrieved, and deleted in accordance with the GDPR.