Analytics Engineer

Summary

Join Synthesia, a fast-growing AI video communications platform company, as a Data Engineer and own the analytics layer of our product data stack. You will ensure that our DBT models, metrics, and transformation logic meet the evolving needs of product teams. Collaborate closely with product teams to build core datasets and work with Product Analysts to create data models and pipelines that drive insightful decisions. Your main goal is to ensure data is easily accessible, trustworthy, and allows for quick analysis. You will work across the stack, bringing data into Snowflake, writing transformations in DBT, and acting as a data expert for the organization. This role is outcome-oriented and ideal for someone who thrives in fast-paced environments. Synthesia offers a hybrid or remote-friendly work environment, competitive salary and stock options, generous paid time off, paid parental leave, and more.

Requirements

• You've got 4+ years of experience working in analytics/data engineering, with a strong focus on enabling data use in product organizations
• You've got hands on experience with DBT, building and maintaining modular, scalable data models that follow best practices
• You’ve got advanced SQL knowledge, with experience writing efficient and well structured queries
• You know how to translate business requirements from non-technical data users, and downstream analytical teams into data pipelines
• You have a product mindset, worked closely with product teams and understand what insights can inflect a product trajectory
• You have the communication skills to work across an organisation to gather requirements, build consensus and evangelize the use of data
• You have a track record of being outcome-driven and can clearly articulate how your work created measurable impact

Responsibilities

• Own the analytics layer of our product data stack, ensuring our DBT models, metrics, and transformation logic reflect the evolving needs of product teams
• Work closely with our product teams to coordinate, support and execute on building core datasets
• Create data models and pipelines that unlock insights and enable smarter decisions about our product features
• Ensure our data is easy to navigate and trustworthy, allowing end-users to retrieve and analyse data quickly
• Work across the stack, to bring the right data into Snowflake, writing transformation into DBT and acting as an expert to the rest of the organisation to solve problems with data, or guide others to do so

Benefits

• A hybrid or remote-friendly environment for candidates based in Europe
• You can work fully remote if you're not local to an office or hybrid from London, Amsterdam, Munich, Zurich or Copenhagen offices
• A competitive salary + stock options
• 25 days of annual leave + public holidays (plus the option to take 5 days unpaid leave and carry 5 days over)
• You will join an established company culture with optional regular socials and company retreats
• Paid parental leave entitling primary caregivers to 16 weeks of full pay, and secondary 5 weeks of full pay
• You can participate in a generous recruitment referral scheme if you help us to hire
• The equipment you need to be successful in your role