Dreamix Ltd.

Information Technology and Services

DataEngineer

Sofia, Sofia City Province, Bulgaria FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“Data Engineer at Dreamix Ltd.. Skills: Data engineering, Data pipelines, Databricks, Spark SQL, Data modelling. Design, build, and maintain data pipelines across ingestion, transformation, and delivery layers. Implement transformations that apply business rules and produce clean, governed datasets”

Industry & Context.

Information Technology and Services
Problems you'll solve

Investigate and resolve data quality issues

What They're Looking For.

Must Have

Hands-on experience in data engineering (3-6 years), Databricks exposure in a production environment, Spark SQL skills, Experience building data pipelines, Experience with at least one data transformation framework (e.g. DBT, DLT, Spark SQL, or similar), Solid understanding of data modelling concepts (dimensional, relational, or entity-based), Familiarity with version control (Git), Familiarity with engineering best practices, Ability to operate effectively within a structured, standards-driven delivery environment

Nice to Have

Exposure to data quality frameworks or testing tooling, Experience in regulated industries or enterprise-scale data environments, Familiarity with CI/CD for data pipelines

What You'll Do.

and maintain data pipelines across ingestion

Implement transformations that apply business rules and produce clean

Ensure pipelines are performant

Develop data quality checks

and validations to meet data contracts and business requirements

Investigate and resolve data quality issues in development and production

Adhere to agreed engineering standards

and code review practices

Ensure all work is documented

and maintainable by the team

How You'll Work.

Team & Collaboration

Collaborate with engineering and data stakeholders on pipeline design and data requirements; Teamwork; Knowledge sharing

Communication Scope

Communication

Full Job Description

Dreаmix was founded 19 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’re actively seeking a skilled **Data Engineer** to join our growing team. We’re looking for someone with a strong foundation in data engineering who focuses on building clean, efficient, and scalable data solutions. If you enjoy working in a collaborative environment and want to contribute to meaningful data-driven projects, we’d be glad to hear from you. ** Responsibilities:** * Design, build, and maintain data pipelines across ingestion, transformation, and delivery layers * Implement transformations that apply business rules and produce clean, governed datasets * Ensure pipelines are performant, observable, and maintainable * Develop data quality checks, tests, and validations to meet data contracts and business requirements * Investigate and resolve data quality issues in development and production * Adhere to agreed engineering standards, naming conventions, and code review practices * Ensure all work is documented, version-controlled, and maintainable by the team * Collaborate with engineering and data stakeholders on pipeline design and data requirements ** Requirements:** * Hands-on experience in data engineering (3-6 yea

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