Senior Data Engineer

Location: Hybrid at the SMG office, Milutina Milankovića 1i, Belgrade, Serbia

Company

hirify.global operates digital marketplaces across Real Estate, Automotive, General Marketplaces, and Finance and Insurance.

What you will do

• Build data tools and scalable data products used across multiple company data domains.
• Design and develop GCP-native data integration pipelines for ingesting, storing, and transforming assets in the Data Lake and DWH.
• Operate and maintain data infrastructure, including orchestration, documentation, data quality checks, monitoring, and operational efficiency.
• Build transformations, dashboards, and logical data warehouse models, and create ML-ready datasets with analytics, product, and ML teams.
• Support personalization, targeting, experimentation, and data activation across marketing channels, including real-time pipelines between the Data Lake and Customer Data Platform.
• Optimize BigQuery cost and performance through partitioning, clustering, and storage practices while helping build the future Automotive data platform.

Requirements

• Bachelor’s degree in Engineering, Computer Science, Management Information Systems, or an equivalent field.
• 5+ years of hands-on experience with cloud platforms, preferably GCP, covering data ingestion, processing, warehousing, monitoring, orchestration, and modelling.
• Strong SQL and Python proficiency with solid analytical skills.
• Hands-on experience building data pipelines with tools such as dbt, Cloud Functions, and Kafka Streams.
• Good knowledge of DevOps practices covering documentation, testing, building, deployment, configuration, and monitoring automation.
• Understanding of cloud-based integration platforms connecting applications, systems, and data sources.
• Strong understanding of data engineering best practices.
• Ability to work independently and in decentralised teams, with autonomy, accountability, and ownership from discovery through production rollout.

Nice to have

• Experience with Elastic.
• Knowledge of the Data Mesh approach.

Culture & Benefits

• Hybrid work environment with a focus on work-life balance.
• 25 vacation days, private health insurance, and a profit growth scheme.
• Personal development budget and free LinkedIn Learning.
• Company phone, equipment, gym membership, local store discounts, and other fringe benefits.
• International, collaborative working environment with team activities and a professional growth focus.