Description

About AllCloud

AllCloud is a leader in amplifying organizations’ cloud potential through AI. With a track record of hundreds of successful migrations and implementations across AWS and Salesforce, AllCloud has developed strategies and solutions that enable businesses of all sizes to remain at the forefront of innovation.

AllCloud is a leader in AI-led professional and managed services. As an AWS Premier and audited managed services Partner, and Salesforce Consulting partner, AllCloud provides comprehensive AI-led cloud journey support, from initial migration to ongoing management through our Engage Managed Services. Our expertise ensures that clients remain aligned with ecosystem best practices while focusing on their core business growth.

AllCloud serves clients across the globe with offices in EMEA and North America. www.allcloud.io

Job Summary

We are looking for a Data Engineer to contribute to the design and implementation of modern cloud-native Data & AI platforms on AWS. You will work as part of a collaborative team to build production-grade architectures for startups and enterprise customers. This position combines technical delivery, hands-on engineering, and stakeholder collaboration across analytics environments and GenAI solutions.

Responsibilities

• Design and build scalable cloud-native data platforms and modern lakehouse architectures on AWS under the guidance of senior leadership.
• Build and maintain robust ETL/ELT pipelines, streaming architectures, and data services.
• Apply best practices for data modeling, orchestration, governance, and observability to ensure platform scalability.
• Assist in architecting modern AI solutions, including RAG pipelines, vector search, and ML integrations.
• Work closely with customers and internal teams to translate business requirements into functional technical designs.
• Participate in troubleshooting, code reviews, performance tuning, and production support to drive platform reliability.
• Support modernization projects involving the transition from legacy ETL systems to cloud-based data warehouses.

Requirements

• Fluency in Hebrew and English is mandatory
• 4–6 years of hands-on experience in Data Engineering, Data Architecture, or Backend Engineering.
• Solid experience implementing cloud-native architectures and leveraging AWS data services.
• Strong hands-on experience with at least 4-5 of the following: Databricks, DBT, Snowflake, Airflow, Kafka, Spark, Redshift, S3, AWS Glue, or Lambda.
• Advanced SQL and Python development skills.
• Experience with data warehouse design, lakehouse architectures, and building scalable real-time data pipelines.
• Understanding of CI/CD, Infrastructure as Code (IaC), and monitoring practices.
• Excellent interpersonal skills with a "people person" attitude and the ability to engage in technical discussions with customers.
• A proactive, can-do attitude with a strong sense of ownership over assigned projects.

Advantages

• Experience with Amazon Bedrock, SageMaker, or vector databases.
• Exposure to Kubernetes or microservices architectures.
• Experience in high-scale environments such as fintech, gaming, or retail.
• Previous experience in a Professional Services or Managed Services environment.
• Familiarity with data quality and observability frameworks.

Why work for us?

Our team inspires progress in each other and in our customers through our relentless pursuit of excellence; you will work with leaders who promote learning and personal development. We offer competitive salaries, bonus incentives, benefits, flexible hours, and mentoring. Apply now to become part of the team.

is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, provincial, or local law.

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