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AI/Data Engineer – Snowflake, DBT, Python Focus
We are seeking a highly motivated AI/Data Engineer with strong expertise in Snowflake, DBT, and Python to design, build, and scale modern data platforms that enable advanced analytics and AI-driven use cases.
This role is ideal for a candidate with a strong data engineering foundation who can support AI initiatives, rather than a purely research-focused AI profile. Basic exposure to AI/ML concepts is sufficient.
Key Responsibilities
- Design, build, and maintain scalable data platforms, pipelines, and data products to support analytics and AI use cases
- Develop robust and production-grade data workflows using Python, Snowflake, and DBT
- Build and optimize ELT/ETL pipelines for large-scale structured and unstructured datasets
- Leverage DBT for data transformation, modeling, testing, and documentation
- Optimize Snowflake architecture, performance, and cost efficiency for enterprise data workloads
- Develop and maintain data models, data marts, and semantic layers
- Support AI/ML initiatives by preparing high-quality datasets and enabling downstream model consumption
- Collaborate with Data Scientists and ML Engineers to operationalize basic AI/ML workflows
- Build APIs and backend services to expose data and AI capabilities
- Ensure high standards of data quality, governance, security, and scalability
Required Skills & Experience
- 3–7 years of experience in Data Engineering, AI Engineering, or related roles
- Strong hands-on expertise in:
- Python (core requirement)
- Snowflake (core requirement)
- DBT (core requirement)
- Advanced SQL skills and strong understanding of data modeling and data architecture
- Proven experience building scalable ETL/ELT pipelines in cloud environments
- Experience working with modern data stacks and cloud platforms (AWS, Azure, or GCP)
- Strong experience in data transformation, data warehousing, and pipeline optimization
- Ability to work independently in a fast-paced, delivery-focused environment
AI / Machine Learning (Secondary Requirement)
- Basic understanding of machine learning concepts and workflows
- Exposure to AI/ML or Generative AI use cases (nice to have, not mandatory)
- Familiarity with concepts such as LLMs, embeddings, or RAG architectures is an advantage, but not required
Preferred Qualifications
- Experience with workflow orchestration tools (e.g., Airflow, Prefect)
- Exposure to API development and microservices architecture
- Familiarity with modern AI frameworks (LangChain, Hugging Face, etc.)
- Experience in high-growth or fast-paced environments
Matrix is a global, dynamic, and fast‑growing technology services and consulting company with over 17,000 employees worldwide. Founded in 2001, Matrix has grown through significant organic expansion and strategic acquisitions, executing some of the largest and most impactful technology projects in the market.
We specialize in the design, development, and implementation of advanced technologies, software solutions, and digital products. Our services include infrastructure and consulting, IT outsourcing and offshore delivery, training and assimilation programs, and acting as a trusted implementation and delivery partner for the world’s leading software vendors.
With deep expertise across both the private and public sectors—spanning Finance, Telecom, Healthcare, Hi‑Tech, Education, Defense, and Security—Matrix serves a strong customer base in Israel alongside a continuously expanding global client portfolio.
At Matrix, our people are at the heart of our success. We are a community of talented, creative, and dedicated professionals who are passionate about innovation and excellence. We actively attract, develop, and retain top talent, recognizing that every employee’s contribution is critical to our continued growth and future success.
Matrix’s success is built on a challenging and engaging work environment, competitive compensation and benefits, and meaningful career development opportunities. We foster a diverse, inclusive culture that encourages collaboration, continuous learning, and growth—together.
Join the winning team. Be challenged, grow your career, and enjoy the journey in a highly respected global organization.
To learn more, visit: www.matrix-ifs.com
EQUAL OPPORTUNITY EMPLOYER: Matrix is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any Kind. Matrix is committed to the principle of equal employment opportunity for all employees, providing employees with a work environment free of discrimination and harassment. All employment decisions at Matrix are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion or belief, family or parental status, or any other status protected by the laws or regulations in our locations. Matrix will not tolerate discrimination or harassment based on any of these characteristics. Matrix encourages applicants of all ages.
