Senior Data Engineer Lisboa

Senior Data Engineer
Lisboa
Lisboa, Lisboa, Portugal

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 i
OS 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
- 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 all the way. The head of data once was developing
  - reading helmet; a software developer has his certified psychological practice; QA-vet; QA-skipper; and a number of musicians that might allow us to start our own band. All together we're multiplying each other's talents which inspire us to develop a product we're all proud of.
• A product that promotes health and fitness in 100 countries. Sweatcoin has proven to help people and create multiple inspiring stories like this one: .
• A startup that actually works. We are completely
  - sufficient yet our investors are excited to provide us with even more resources to keep growing. We recently broke our record of 10M new users each week.
• Models that help us to verify steps so there is no cheat way a dog can earn coins for an owner.
• Automatised A/B tests, analytics that are deeply integrated into the product, a modern data stack (jupiter, bigquery, airflow, looker).

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
- scale migration and help shape the future of our data platform. Over time, our team will evolve into a
- 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-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 & 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
• Well
  Being program, which supports up to 2 counselling sessions per month
• Unlimited
  - off policy

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