Senior Data Engineer

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.

Currently, we are looking for a Senior Data Engineer to be an integral team member in handling financial data through cloud-based data warehousing platforms.

Responsibilities:

• Architecting, designing, implementing, and operationalizing large-scale data and analytics solutions on Snowflake Cloud Data Warehouse or Databricks
• Providing production support for Data Warehouse issues such as data load problems and transformation translation problems
• Translating mapping specifications into data transformation design and development strategies, incorporating standards and best practices
• Developing data pipelines and automating data pipeline testing in cloud-based environments, with clear documentation
• Conducting code reviews to ensure alignment with requirements and adherence to optimal execution patterns and established standards
• Building ETL pipelines in and out of the data warehouse using a combination of Databricks/Snowflake, Python, and SQL
• Establishing and monitoring Operational Level Agreements for warehouse health and performance/cost (Loads, queries, data quality)

Requirements:

• A minimum of 5 years of relevant experience in data engineering
• Hands-on experience with Python, PySpark, and SQL
• In-depth knowledge of Data Warehousing
• Demonstrable experience with Databricks and/or Snowflake platforms
• Experience in Data Integration Solutions and familiarity with Azure Data Factory or AWS Glue is a plus
• Experience with Python libraries like Pandas, Numpy, etc is a plus
• Preferred experience in the finance or banking sector, with an understanding of securities and banking products

What’s in it for you:

• 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 are interested in the opportunity, 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.