Senior Data Engineer

Location: Tel Aviv, IsraelVersatile is an innovative AI-driven construction intelligence startup, committed to transforming the construction industry with cutting-edge technology. Our mission is to enhance the efficiency, safety, and productivity of construction projects through intelligent solutions.We’re hiring a hands-on Senior Data Engineer who wants to build data products that move the needle in the physical world. Your work will help construction professionals make better, data-backed decisions every day. You’ll be part of a high-performing engineering team based in Tel Aviv.What you will be doing:Lead the design, development, and ownership of scalable data pipelines (ETL/ELT) that power analytics, product features, and downstream consumption.Collaborate closely with Product, Data Science, Data Analytics, and full-stack/platform teams to deliver data solutions that serve product and business needs.Build and optimize data workflows using Databricks, Spark (PySpark, SQL), Kafka, and AWS-based tooling.Implement and manage data architectures that support both real-time and batch processing, including streaming, storage, and processing layers.Develop, integrate, and maintain data connectors and ingestion pipelines from multiple sources.Manage the deployment, scaling, and performance of data infrastructure and clusters, including Databricks, Kafka, and AWS services.Use Terraform (and similar tools) to manage infrastructure-as-code for data platforms.Model and prepare data for analytics, BI, and product-facing use cases, ensuring high performance and reliability.Requirements: 5+ years of hands-on experience working with large-scale data systems in production environments.Proven experience designing, deploying, and integrating big data frameworks such as PySpark, Kafka, Databricks, or equivalent cloud-based data platforms.Strong expertise in Python and SQL, with experience building and optimizing data processing workflows (batch and/or streaming).Experience with AWS cloud services and Linux-based environments.Background in building ETL/ELT pipelines and orchestrating workflows end-to-end.Understanding of event-driven and domain-driven design principles in modern data architectures.Experience preparing data for BI, analytics, and consumption by product teams or platforms.Familiarity with infrastructure-as-code tools (e.g., Terraform) — advantage.Experience with parquet, delta table format, Debezium, or AWS-native data solutions — advantage.Experience in data modeling, data analysis, or supporting visualization/analytics teams — advantage.Familiarity with data visualization tools or creating dashboards — advantage.Experience supporting machine learning or algorithmic applications — nice to have.BSc or higher in Computer Science, Engineering, Mathematics, or another quantitative field.