Staff Data Engineer

WHO ARE WE

Bags.fm is the development company that builds and operates the entire technology stack behind bags.fm https://bags.fm, the leading launchpad for new projects and ideas. The systems are low latency, high throughput, live under constant load, and break if you get them wrong.

WHAT YOU'LL DO

As a Data Engineer, you will play a critical role in building and scaling our real-time data infrastructure at the forefront of crypto and social finance. You'll work on high-throughput data pipelines, analytics systems, and storage solutions in an environment where speed, ownership, and innovation are paramount.

- Architect, build, and ship high-performance data solutions at speed, contributing directly to the growth of the world's largest crypto social network

- Work across the data stack, from streaming pipelines, data modelling, analytics databases, and real-time processing systems

- Rapidly prototype and iterate on new data features, balancing speed with quality in a fast-moving environment

- Solve complex technical challenges around data consistency, performance, and scale in a space where innovation and efficiency are the upmost priority

- Collaborate closely with a world-class team of engineers and product leaders to push boundaries and redefine what's possible

- Take full ownership of your work, from initial concept to production deployment and maintenance

WHO YOU ARE

- You’re experienced building and scaling data platforms, with deep expertise in data engineering, distributed systems, and modern cloud infrastructure.

- You're fluent in SQL and Python, and have hands-on experience with technologies such as Spark, Kafka, Airflow, dbt, ClickHouse, BigQuery, Snowflake, or similar large-scale data ecosystems.

- You have designed and operated reliable batch and real-time data pipelines that process high volumes of data with a strong focus on quality, observability, and performance.

- You think like an engineer first—you care about building robust, maintainable systems rather than simply moving data from A to B.

- You have experience modeling complex datasets and enabling analytics, machine learning, or product teams through well-designed data platforms.

- You're comfortable making architectural decisions, balancing short-term delivery with long-term scalability and technical excellence.

- You enjoy solving ambiguous, open-ended problems and can independently drive large technical initiatives from design through implementation.

- You naturally mentor other engineers through technical leadership, thoughtful code reviews, and raising engineering standards across the team.

- You communicate complex technical concepts clearly and collaborate effectively across engineering, product, and infrastructure teams.

- You're motivated by ownership, enjoy working in fast-moving environments, and thrive where you can have a direct impact on both product and engineering direction.

PREFERRED QUALIFICATIONS

- Experience with cryptocurrency and blockchain data

- Strong data visualisation skills (esp. Omni/Looker)

- Experience working with event tracking data

- Advanced knowledge of statistical methods and causal inference

- Experience building and maintaining data pipelines (esp. Dagster, DBT)

- Familiarity with Machine Learning methods and applications

- Experience in consumer tech products or fintech

WHAT IT'S LIKE TO WORK HERE

- We work in person

- Hours can be long and unconventional

- The pace is intense

- Expectations are high, and impact is immediate

- Working at Bags.fm is not for everyone

WHY JOIN US?

- Unmatched ownership and autonomy

- Exposure to systems operating at the edge of crypto scale

- The ability to ship fast and see real-world impact immediately

If you’re motivated by responsibility, speed, and building products used by massive audiences, you’ll feel at home here.