• Published: November 15, 2021
Job Type
Level of education
Spoken Language needed
Level of Hebrew
Location of job
Petach Tikva
How many relevant years experience do you require for the role:
More than 3 years


As a global, multi-national company, we would like to ask that you please submit your resume in English.
Have we got a job for you?!

Build Your Career | Have Fun | Make a Difference
If you’re the kind of person that loves to get stuff done, collaborate with colleagues all over the world and is interested in joining a fast growth global company that is trusted by the world’s top digital brands and truly cares for its customers, join us at Payoneer!
We’re looking for an experienced Data Engineering Manager to join our amazing Data department and work in a complex and challenging data environment, developing new pipeline and exciting features. You will lead 3 data engineering teams developing advanced ETL/ELT procedures and high-scale, real-time, streaming applications. You will design data solutions and implement production data pipelines for real time stream processing, optimized for scalability, modularity, quality and uptime. You will be working with technologies consisting of Python/Java, Kafka, Spark, Kubernetes, AirFlow and many more in a fast-paced, high-growth company. We are looking for demonstrated leadership and mentoring experience with the ability to collaborate with various stakeholders while developing and growing the Data engineering group.
What’s the job?

- Managing 3 teams of data engineers who will deliver scalable, reliable, and reusable data solutions.
- Translating complex ideas to technical and non-technical stakeholders.
- Designing and modeling data warehouses on platforms such as MS SQL, BigQuery, Snowflake, and other high-performance platforms.
- Developing low latency stream processing and custom ETL based on customer needs and their existing data sources.
- Contributing to the core design of data architecture, data models and schemas, and implementation plans.
- Engaging with the data science, BI, R&D and product teams to optimally connect Data Engineering services to the rest of Payoneer’s technology.
- Strategically advance and shape the future of our engineering efforts by surfacing challenges and opportunities to leadership and recommending solutions.
- Taking full ownership of designing, building, testing and deployment of data engineering pipelines and products.


- Relevant Bachelor degree – preferably CS, Engineering/ Information Systems.
- Proficiency with Python, SQL, Java or Scala.
- 3 or more years of proven team leadership track record, delivering high quality, on-time results.
- 5 or more years of experience in data modeling, data engineering (message queues, stream processing, data lake, DWH, ETL) and SW development practices (Agile, CI/CD, TDD).
- Experience with big data solutions like SnowFlake, Redshift, Redis, Aerospike, Impala, Presto, Bigquery, Hive, etc.
- Strong leadership skills – able to take ownership of end-to-end delivery across multiple projects under your team.
- Open-minded, curious, and passionate learner – not afraid to learn new technologies quickly.
- Team player, exceptional at communicating and presenting with a strong ability to build relationships and gain influence with a variety of audiences.
- Creative problem-solver – effective at analyzing a problem and enjoys innovative solutions that make us better.
- Lead independently in a rapidly innovating environment.

Not a must but a great advantage

- Experience in real time analytics and distributed backend systems.
- Experience with no SQL data platform like Hadoop, Neo4J.
- Experience with building automated validation processes to ensure data integrity.

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