דרושים Senior Data Engineer בכל הארץ

At Sweatcoin, we're driven by a shared mission to make the world more active, and we value creativity, collaboration, and a passion for solving complex problems.

Our iOS and Android apps have more than 200M installs, 15M+ active users, more than 500 commercial partners and confirmed by the independent academic research ability to make our users up to 20% more active.

The most downloaded Health app of the year (2022), having been No.1 Overall App in 56 countries and counting!

This is an exciting opportunity to make a huge impact on our data platform as we transition to a more scalable and efficient architecture. If you thrive on solving complex data challenges and want to be part of a high-performing team, we’d love to hear from you!

What you will do:

We are looking for a Senior Data Engineer to join our team and play a key role in migrating our data infrastructure to a new architecture. You will work alongside two other engineers on this large-scale migration and help shape the future of our data platform. Over time, our team will evolve into a platform-focused group, building automation tools, improving performance, ensuring data pipeline resilience, and strengthening data governance.

What you will do:

• Lead and execute the migration from Firebase-BigQuery-Looker to a self-hosted stack including Snowplow, Kafka, ClickHouse, Trino, Spark, S3, and Redash.
• Design, develop, and optimise scalable, high-performance data pipelines.
• Automate data processing and workflow orchestration.
• Enhance data infrastructure reliability, scalability, and cost-efficiency.
• Collaborate with engineers and analysts to define best practices for data processing, storage, and governance.
• Develop internal tools for data quality monitoring, lineage tracking, and debugging.
• Optimize query performance and ensure efficient data modeling.

What we expect from you:

• Expertise in Data Engineering: Strong experience building, maintaining, and optimizing ETL/ELT pipelines.
• Strong Coding Skills: Proficiency in Python and SQL for data processing and analytics.
• Distributed Systems Experience: Hands-on experience with Kafka, Trino, ClickHouse, Spark, or similar.
• Cloud & Storage: Experience with S3 or equivalent object storage solutions.
• Infrastructure & Tooling: Proficiency with Docker, Kubernetes, Git, and CI/CD pipelines.
• Orchestration & Automation: Familiarity with workflow orchestration tools like Airflow or dbt.
• Analytical Thinking: Ability to optimize system performance and troubleshoot complex data issues.
• Self-Starter Mentality: Comfortable working in a fast-paced, evolving environment with minimal supervision.
• Strong Communication Skills: Fluent English to ensure smooth collaboration within the team.

Nice to have:

• Experience with Snowplow for event tracking and data collection.
• Knowledge of data governance and security best practices.
• Familiarity with machine learning pipelines and real-time analytics.

What you get in return:

• Remote-friendly & Flexible working hours. The flexibility is incredible, performance is based on output, rather than hours spent working, you can be wherever you want!
• Apple devices for work
• Team buildings abroad in exciting locations!
• Health insurance coverage
• WellBeing program, which supports up to 2 counselling sessions per month
• Unlimited time-off policy

If you feel that that’s a match we would be excited to have you on our team!