Senior Data Engineer

Senior Data Engineer

Location: Lisbon - Fully Remote

Overview

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, we’d love to hear from you!

The Sweatcoin data team is focused on migrating and optimizing our data infrastructure to support growth, reliability, and governance across the product ecosystem.

What you will do

• Lead and execute the migration from Firebase-Big
  Query-Looker to a
  - hosted stack including Snowplow, Kafka, Click
  House, Trino, Spark, S3, and Redash.
• Design, develop, and optimize scalable,
  - performance data pipelines.
• Automate data processing and workflow orchestration.
• Enhance data infrastructure reliability, scalability, and
  - 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:
  - on with Kafka, Trino, Click
  House, 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
  - paced, evolving environment with minimal supervision.
• Strong communication skills: fluent English for team collaboration.

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
  - time analytics.

What you get in return

• Remote-friendly and flexible working hours; performance is measured by output.
• Apple devices for work.
• Team-building events in exciting locations.
• Health insurance coverage.
• Well
  Being program, supporting up to 2 counselling sessions per month.
• Unlimited
  - off policy.

If you feel that matches, we would be excited to have you on our team!

Contact

Maria Klimova — Talent Acquisition Lead