Data engineer in digital platforms

We are looking for a Data Engineer to help build our next-gen platform in a write-first, spec-driven culture that embraces AI tooling to turn specs into code and accelerate delivery. As part of a collaborative and cross-functional team, you’ll develop scalable pipelines, robust infrastructure, and analytics-ready datasets that drive decisions and innovation across the business.

• Collaborate in an agile team to leverage AI-assisted coding and spec-driven development (SDD) methodologies to design, build, and maintain reliable, secure, and scalable data pipelines
• Build workflows for ingesting, transforming, and integrating data using modern cloud-native tools
• Model datasets for analytics, reporting, and operational insights (data lakes and warehouses)
• Implement data quality checks, observability, and clear documentation for owned pipelines
• Work with AWS services such as Redshift, S3, Glue, QuickSight, Iceberg and RDS
• Automate processes and apply CI/CD practices to improve the efficiency and consistency of data delivery
• Collaborate with stakeholders to understand business needs and translate them into data solutions
• Stay current with evolving best practices in cloud data architecture, governance, and scalable design

• A hands-on Data Engineer or BI Developer with >=3 years of relevant experience
• A strong problem-solver who enjoys turning raw data into well-structured, actionable insights
• A team player with clear communication skills and a strong sense of ownership
• Passionate about data quality, continuous improvement, and modern data engineering practices
• Eager to learn, grow, and contribute to a collaborative and fast-moving engineering culture
• Degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience
• Proficiency in SQL, data modeling, and query optimization
• Experience working with at least one cloud data platform (e.g., AWS Redshift, BigQuery, Snowflake)
• Hands-on experience with data integration, processing and orchestration technologies (e.g., Airbyte, AWS Glue, Apache Flink, Apache Airflow or similar).
• Familiarity with BI tools like QuickSight, Power BI, or Tableau
• Proficiency in Python for developing, automating, and testing data workflows
• Familiarity with AI-assisted development tools, such as GitHub Copilot, and an interest in using them responsibly to improve productivity and code quality.
• Будет плюсом: Familiarity with “medallion” architecture; Understanding of domain-oriented data ownership; Familiarity with CI/CD practices or infrastructure-as-code tools (e.g., Terraform, CloudFormation); Understanding of data observability, lineage, or quality monitoring tools; Experience working in Agile/DevOps-oriented environments

• A truly collaborative and supportive working environment
• Modern office space with on-site parking
• Private health insurance
• Coverage for medical treatments outside of Serbia
• Learning and development budget
• Profit sharing – every role plays a part in our success
• Budget for sports activities
• Team-building and social activities
• Employee referral bonuses
• Hybrid work environment
• Additional employee perks