Senior Data Engineer
Senior Data Engineer
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Job Description
At Sweatcoin were 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 highperforming team wed 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 mindreading helmet; a software developer has his certified psychological practice; QAvet; QAskipper; and a number of musicians that might allow us to start our own band. All together were multiplying each others talents which inspire us to develop a product were 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 selfsufficient 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 largescale migration and help shape the future of our data platform. Over time our team will evolve into a platformfocused group building automation tools improving performance ensuring data pipeline resilience and strengthening data governance.
What you will do:
- Lead and execute the migration from FirebaseBigQueryLooker to a selfhosted stack including Snowplow Kafka ClickHouse Trino Spark S3 and Redash.
- Design develop andoptimisescalable highperformance data pipelines.
- Automate data processing and workflow orchestration.
- Enhance data infrastructure reliability scalability and costefficiency.
- 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: Handson 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.
- SelfStarter Mentality: Comfortable working in a fastpaced 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 realtime analytics.
What you get in return:
- Remotefriendly & 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 timeoff policy
If you feel that thats a match we would be excited to have you on our team!
Employment Type
Full Time
