We are seeking an experienced and motivated Data Engineering Team Lead to oversee and guide our data engineering team in designing, developing, and optimizing our data infrastructure.
You will collaborate closely with cross-functional teams to deliver high-quality, scalable data solutions, and drive data initiatives that support business objectives.
You Will:
Provide technical leadership and direction for the data platform, including data pipelines, data lake, data governance, and data security
Develop and initiate advanced ETL processes and data models and maintain existing ones, combining raw information from different sources.
Ensure data accuracy, quality, and consistency across our data pipelines, with a focus on reliability and efficiency.
Work closely with analysts, product managers, engineers and other stakeholders to understand data requirements, and translate them into technical specifications and integrate data-driven solutions
Establish and enforce best practices in data engineering, ensuring robust monitoring, error handling, and efficient resource usage.
Be the point of contact for internal and external stakeholders regarding data and data integrations.
Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader
Collaborate with multiple software teams across our sites in Israel, USA, Ukraine and Poland.
Team Leadership:
Lead, mentor, and manage a team of data engineers, ensuring the delivery of high-quality, scalable data solutions, fostering a collaborative environment that emphasizes skill development and continuous learning.
We believe in growing exceptional people, therefore, you will build a growth plan to all of your team members and mentor them to achieve their full potential and beyond.
Drive project planning and execution, including resource allocation, timelines, and scope, ensuring alignment with organizational goals and deadlines.
Requirements: You Have:
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
5+ years of experience in data engineering, including 2+ years in a team lead or management role, with expertise in building data pipelines and analytics engineering.
Proficiency with cloud architecture and data processing practices, including batch, streaming and data warehouse management.
Proficiency in programming languages such as Python or Scala, with a strong understanding of ETL/ELT processes and frameworks.
Experience with data orchestration tools (e.g., Airflow, Azkaban) that integrate real-time (e.g., Kinesis, Kafka) and batch data sources.
SQL proficiency and Spark development to manage large-scale, complex datasets.
Experience in B2C environments is a plus, understanding the unique data requirements of high-volume, consumer-facing applications.
Excellent problem-solving, project management, and communication skills to work cross-functionally and align data solutions with broader business goals.
Experience working with large-scale, high-performance financial data systems, and the ability to handle sensitive financial information with accuracy and compliance advantage.
Experience in AWS data services, including Redshift, Lambda, S3, and Kinesis, with proven ability to build and maintain data pipelines on AWS advantage.
This position is open to all candidates.