Data Platform Engineer Jobs

Finaloop

Location:
Israel, Tel Aviv

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

Finaloop revolutionizes financial operations for eCommerce businesses! Our cutting-edge SaaS solution blends automation, AI, and human expertise to deliver real-time bookkeeping services. We empower our customers to make data-driven decisions by transforming their financial information into actionable insights. We're seeking an outstanding and passionate Data Platform Engineer to join our growing R&D team. You will work in an energetic startup environment following Agile concepts and methodologies. Joining the company at this unique and exciting stage in our growth journey creates an exceptional opportunity to take part in shaping Finaloop's data infrastructure at the forefront of Fintech and AI.

Job Responsibility:

Design, build, and maintain scalable data pipelines and ETL processes for our financial data platform
Develop and optimize data infrastructure to support real-time analytics and reporting
Implement data governance, security, and privacy controls to ensure data quality and compliance
Create and maintain documentation for data platforms and processes
Collaborate with data scientists and analysts to deliver actionable insights to our customers
Troubleshoot and resolve data infrastructure issues efficiently
Monitor system performance and implement optimizations
Stay current with emerging technologies and implement innovative solutions

Requirements:

3+ years experience in data engineering or platform engineering roles
Strong programming skills in Python and SQL
Experience with orchestration platforms like Airflow/Dagster/Temporal
Experience with MPPs like Snowflake/Redshift/Databricks
Hands-on experience with cloud platforms (AWS) and their data services
Understanding of data modeling, data warehousing, and data lake concepts
Ability to optimize data infrastructure for performance and reliability
Experience working with containerization (Docker) in Kubernetes environments
Familiarity with CI/CD concepts
Fluent in English, both written and verbal

Nice to have:

Experience with big data processing frameworks (Apache Spark, Hadoop)
Experience with stream processing technologies (Flink, Kafka, Kinesis)
Knowledge of infrastructure as code (Terraform)
Experience building analytics platforms
Experience building clickstream pipelines
Familiarity with machine learning workflows and MLOps
Experience working in a startup environment or fintech industry

Additional Information:

Job Posted:
December 08, 2025

Work Type:

On-site work

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Data Platform Engineer