Description
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.
Responsibilities
•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
Requirements
•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
Nice to have
•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
Conditions
•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
