Connecting Data Talent and Data Team
For companies hiring top data professionals, and for
people building their data careers Title
Jutomate connects leading companies with top data professionals. Through our daily work with data experts and close collaboration with enterprises, government organizations, and fast-growing startups, we understand both the market needs and the people behind the skills.
This page allows companies to explore open data roles, publish new positions, and find the right talent faster - backed by real-world data projects, hands-on expertise, and long-term professional relationships.
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Smart Matching Process​
Deep Technical Understanding
Network & Community
​Focused, role-driven candidate selection.
Matching the right skills to the right team, from day one.
We speak data, not just resumes.
Hands-on experience that ensures accurate role matching.
A strong, active network of data professionals and hiring companies.
Built on daily collaboration, trust, and long-term relationships.
Open Positions
Data Engineer- Junior
A consulting-focused data engineering role involving hands-on customer work and continuous learning. Suitable for junior data engineers with basic SQL and Python skills, strong technical curiosity, and long-term growth ambitions. Exposure to cloud, Big Data, BI, and AI, with a clear path toward Architect roles.
Israeli citizens only. Remote may be considered.
Data Architect - GCP BigQuery
A senior, hands-on Data Architect role focused on designing and optimizing large-scale analytical platforms on GCP BigQuery. The position combines deep data modeling, performance tuning, and FinOps ownership with architectural governance and best practices. Suitable for experienced data architects or senior data engineers who lead scalable, cost-efficient data platforms and collaborate closely with engineering, analytics, and product teams.
Senior MLOps Engineer - Databricks
A senior, hands-on MLOps Engineer role focused on building and operating production-grade machine learning pipelines on Databricks. The position owns the full ML lifecycle, from training and deployment to monitoring and governance, with strong emphasis on automation, reliability, and scalability. Suitable for experienced ML or data engineers who bridge data science and platform teams and deliver robust, cost-efficient ML systems in the lakehouse environment.
BI Team Manager
A senior BI leadership role responsible for leading the Business Intelligence function and managing a team of BI analysts and data engineers. Focused on defining BI strategy, delivering actionable insights, and owning data platforms within the Google ecosystem (BigQuery, Looker). Requires proven BI team management experience and close collaboration with executive and cross-functional stakeholders.
Senior Data Engineer - Databricks and Spark
​A senior, hands-on Data Engineer role focused on building and optimizing large-scale data pipelines and lakehouse platforms using Databricks and Apache Spark. The position emphasizes performance tuning, distributed systems expertise, and production-grade ETL across batch and streaming workloads. Suitable for experienced data engineers who contribute architectural input, apply FinOps best practices, and mentor junior team members while working in modern cloud environments.
Spark Solution Architect - Customer Facing
​A senior, customer-facing Spark Solution Architect role focused on advising enterprise customers on designing, optimizing, and migrating large-scale data and AI platforms using Apache Spark and Databricks. The position combines deep distributed systems expertise with a consultative approach, leading architecture workshops, performance tuning, and cloud modernization initiatives. Suitable for experienced data architects or senior data engineers who act as trusted advisors and drive successful adoption of Spark-based lakehouse solutions.