A growing tech company in the automotive space with hubs across the US and Israel. Our mission is to constantly disrupt the industry by creating groundbreaking technologies to help dealers build stronger, more resilient businesses. Our work happens in the fast lane as we bring AI-powered, data-driven solutions to a quickly evolving industry.
Our team consists of curious and creative individuals who are always looking to achieve the impossible. We are bold, collaborative, and goal-driven, and at our core, we believe every voice has value and can impact our bottom line.
If you are a creative, solutions-oriented individual who is ready to put your career in drive,the place for you!
We are looking for an experienced Data Engineering Tech Lead to join our team and make a real impact! In this hands-on role, you will drive the architecture, development, and optimization of our Data infrastructure, ensuring scalable and high-performance data solutions that support analytics, AI, and business intelligence needs. You will collaborate closely with analysts, Product, DevOps, and software engineers to cultivate a robust data ecosystem.
This position will report to the CISO and can be based out of Jerusalem or Tel-Aviv.
What you will be responsible for
Lead the design and implementation and maintenance of our DWH & Data Lake architecture to support both analytical and operational use cases.
Develop scalable ETL/ELT pipelines for ingestion, transformation, and optimization of structured and unstructured data.
Ensure data quality, governance, and security throughout the entire data lifecycle.
Optimize performance and cost-efficiency of data storage, processing, and retrieval.
Work closely with BI and analytics teams to guarantee seamless data integration with visualization tools.
Collaborate with stakeholders (BI teams, Product, and Engineering) to align data infrastructure with business needs.
Mentor and guide analysts, fostering a culture of best practices and professionalism.
Stay updated with industry trends and evaluate new technologies for continuous improvement.
Requirements: 5+ years of experience in data engineering, with at least 2-3 years experience in a Tech Lead role.
At least 3 years of hands-on experience with AWS, including services like S3, Redshift, Glue, Athena, Lambda, and RDS.
Expertise in DWH & Data Lake architectures, including columnar databases, data partitioning, and lakehouse concepts.
Strong experience with cloud data solutions like Redshift, Snowflake, BigQuery, or Databricks.
Proficiency in ETL/ELT tools (e.g., dbt, Apache Airflow, Glue, Dataflow).
Deep knowledge of SQL & Python for data processing and transformation.
Experience working with BI and visualization tools such as Power BI, Tableau, Looker, or similar.
Experience with real-time data streaming (Kafka, Kinesis, Pub/Sub) and batch processing.
Understanding of data modeling (Star/Snowflake), data governance, and security best practices.
Experience with CI/CD, infrastructure-as-code (Terraform, CloudFormation), and DevOps for data.
The personal competencies you need to have:
Excellent communication skills and the ability to work as a team.
Strong sense of ownership, urgency, and drive.
Ability to take the initiative, come up with ideas and solutions, and run it with a "getting things done" attitude.
Ability to work independently and manage tight deadlines.
This position is open to all candidates.