Data Engineer/ Architect
975450
We are seeking a senior highly skilled Data Engineer/Architect to join our team in Jerusalem. This is a hybrid role with Monday’s and Wednesday’s required in-office from our Jerusalem office conveniently located in Jerusalem's Central Bus Station office building.
About the Role:
Our data landscape is vast and continually evolving. The ideal candidate has extensive experience designing optimizing and operating advanced data systems—particularly dealing with large-scale data flows. While this is not a formal managerial role it does require strong leadership abilities including:
Collaborating closely with DevOps to ensure seamless data operations
Demonstrating a proven track record in managing large high-performing data environments and overseeing the end-to-end execution of complex data architecture projects
If you thrive in a fast-paced environment where you can drive innovation optimize data systems—we want to hear from you.
Key Responsibilities:
Advanced Data Optimization: Design and implement sophisticated optimization strategies for database queries and data pipelines.
Bridge Between Data & DevOps: Collaborate with DevOps to ensure smooth deployment monitoring and scaling of data systems.
Leadership & Mentorship: Provide technical leadership and guidance to less experienced engineers helping them enhance their strategic and technical skills.
Cross-Functional Collaboration: Work closely with product teams DevOps and other stakeholders to align data initiatives with broader business goals.
Scalability & Reliability: Ensure that our data architectures can handle large-scale real-time data flows efficiently and reliably.
What We Value:
Proven Experience in Large-Scale Data Management: Comfort with big data frameworks data pipeline orchestration and performance tuning.
Technical Versatility: Ability to work across various databases data streaming platforms and programming languages
Open-Ended Problem Solving: Demonstrated success in tackling ambiguous or complex data challenges.
Open Source Mindset: Comfort and familiarity with open-source tools and platforms.
Detail-Oriented: Strong emphasis on data accuracy best practices and thorough testing.
Self-Driven & Autodidactic: Ability to learn new tools technologies and methodologies on the fly.
Effective Communication: Strong verbal and written communication skills; English at a mother-tongue level is required.
Requirements & Technologies:
Below are some of the technologies we use. Direct experience with each is not mandatory but you should be comfortable adopting new tools within these categories:
Databases & Streaming: SQL MongoDB Redis PubSub ClickHouse Elasticsearch BigQuery
Data Pipeline Tools: Airflow Luigi Azkaban dbt
Languages: TypeScript Python Java
Infrastructure: Cloud platforms (e.g. CI/CD Git & GitHub Kubernetes (in coordination with DevOps)
Please
management
english
databases
problem solving
testing
communication
sql
java
devops
mongodb
git
typescript
python
leadership