Senior Data Engineer

What You Will Own:

• In this role you would become a go-to owner of our data and analytics platforms.
• Maintaining our analytics infrastructure and dashboards, using a variety of tools.
• You will be helping a small product company make best-informed data-driven decisions and aligning our data strategy to our broader business goals.
• Critiquing our data to ensure its accuracy.
• You will be working closely with Product and Engineering teams to determine where best to measure success.
• You will drive cross-functional efforts related to data quality, reporting, insights and remediating data inconsistencies and incompleteness to answer business questions.
• You will design, construct, install, and maintain data processing systems and databases.
• Integrating data from a variety of sources, ensuring data consistency and reliability.
• Building and maintaining efficient data pipelines to support the collection, transformation, and loading (ETL) of data into data warehouses or data lakes.
• Optimizing data processing systems for performance and scalability.
• Implementing data quality checks and validation processes to ensure the accuracy and reliability of data.
• Documenting data processes, architecture, and workflows to ensure clarity and continuity.

What We Are Looking For:

• You are a great collaborator who can work to understand the needs of different stakeholders and develop a strategy which considers each of these.
• You are a strong communicator and are confident at being an evangelist and driving internal education around your data.
• Strong SQL data wrangling skills.
• Experience in using a data modeling tool like dbt.
• Experience in using Python or R.
• You have worked on a modern event data stack and are familiar with Segment, Amplitude, Looker Studio, BigQuery, Google Analytics and AWS/GCP (desirable).
• You have a strong vision of how an industry-leading modern analytics stack looks like, and can develop a clear strategy for building this out
• A solid grounding in mathematics and statistics.
• You are highly visual & numeric with the ability to communicate highly complex information in clear and simple language.
• Exposure to data systems that support machine learning, and to database migration and/or modernisation projects desirable. 
• Experience in A/B Testing is highly desirable.