Senior Data Engineer Lisboa

Overview

At Sweatcoin, we’re driven by a shared mission to make the world more active. We value creativity, collaboration, and solving complex problems. Our i
OS and Android apps have more than 200M installs and 15M+ active users with a growing set of partners and independent research showing our impact on activity.

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
- performing team, we’d love to hear from you!

What we offer:

• A team of exceptional people who celebrate our community by being supportive and creative. The head of data once worked on a
  - reading helmet; a software developer has a certified psychological practice; QA professionals with unique backgrounds; and a number of musicians who help us stay innovative. We multiply each other’s talents to develop a product we’re all proud of.
• A product that promotes health and fitness in 100 countries with inspiring stories like this: https://blog. sweatco. in/one-sweatcoiners-journey-to-100000-steps/
• A startup that actually works. We are
  - sufficient and supported by investors to keep growing. We recently broke a record of 10M new users each week.
• Models that help verify steps so there is no cheating for coins.
• Automatised analytics, a modern data stack (Snowplow, Big
  Query, Airflow, Looker) and integrated tooling.

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 optimise 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: Hands-on experience 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 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
  - time analytics.

What you get in return:

• Remote-friendly and flexible working hours. Performance is based on output, not hours spent; you can be wherever you want.
• Apple devices for work
• Team buildings abroad in exciting locations
• Health insurance coverage
• Well
  Being program, which supports up to 2 counselling sessions per month
• Unlimited
  - off policy

If you feel that this is a match, we’d be excited to have you on our team!