About the Role
We're seeking a seasoned professional to join our Data Infrastructure team as a Senior Engineer. This role involves collaborating on large-scale data-related infrastructure initiatives and designing, building, maintaining, evolving, and extending the data platform.
* Evolving the Data Platform by designing and building the next generation of the stack
* Developing, running, and supporting batch and real-time data pipelines using tools like Airflow, PlanetScale, Kinesis, Snowflake, Tableau, all in AWS
* Collaborating with product managers, data engineers, analysts, and data scientists to develop tooling and infrastructure to support their needs
* Developing automation and tooling to support the creation and discovery of high-quality analytics data in an environment where dozens of changes can be shipped daily
* Implementing systems to monitor our infrastructure, detect, and surface data quality issues
Recent projects delivered by the team include:
* Refactoring of our MySQL Ingestion pipeline for reduced latency and 10x scalability
* Redshift -> Snowflake migration
* Unified Local Analytics Development Environment for Airflow and DBT
* Building our next-generation company metrics framework, adding anomaly detection and alerting, and enabling easier discovery and consumption
About You
You'll have 5+ years of full-time, professional work experience in the data space using Python and SQL. You'll have solid experience building and running data pipelines for large and complex datasets, including handling dependencies. You'll have hands-on cloud provider experience (preferably AWS) including service integrations and automation via CLI and APIs. You'll have a solid understanding of data security practices and be passionate about privacy. You'll be able to demonstrate the significant impact your work has had, both on the technology side as well as with the teams you've been part of.
In addition, it would be beneficial if you have experience or understanding of tools and technologies included in the modern data stack (Snowflake, DBT), industry awareness of up-and-coming technologies and vendors, or experience working with Apache Airflow.
We offer a competitive salary, equity in a fast-growing start-up, excellent benefits, including a pension scheme, life assurance, comprehensive health and dental insurance, open vacation policy, flexible holidays, paid maternity leave, and 6 weeks paternity leave. We provide MacBooks and Windows for certain roles, secure bike storage, and a Cycle-to-Work Scheme.
We're committed to a hybrid working model, with employees expected to be in the office at least three days per week. Our radically open and accepting culture promotes a safe and cohesive work environment for everyone.
Equal Employment Opportunity.