Senior Analytics Engineer
Role details
Job location
Tech stack
Job description
As an Analytics Engineer, you'll be a key early member of our data function, responsible for building and evolving the analytics foundations that power product decision-making across the company. You'll work closely with Product, Analytics, and Engineering to turn raw product data into trusted, well-defined datasets, metrics, and data products that scale with the business.
You'll own the principles behind how we model data for self-serve and AI use cases, balancing speed with data quality and long-term maintainability. This includes designing models and metric foundations that are robust to change, easy to reason about, and suitable for both human and machine consumption.
What You'll Be Doing
- Partner with Product, Analytics, and Engineering to understand data needs and translate ambiguous questions into clear, scalable data models
- Define, build, and maintain core dbt models that transform raw product data into canonical, well-documented datasets
- Own metric definitions and transformation logic to ensure consistency, accuracy, and trust across reporting and analysis
- Establish and uphold data quality standards, testing, and expectations around freshness and reliability
- Work closely with Product Analysts to enable faster, higher-quality insights and decision-making
- Support data consumption in tools like Amplitude and Omni, ensuring data is intuitive and easy to self-serve
- Act as a subject-matter expert for analytics engineering, guiding best practices and helping others solve data problems
- Contribute to shaping the future direction of our data stack as product complexity and scale increase
About The Setup
- Stack: dbt, Snowflake, Amplitude, Omni
- Early, high-impact role with real ownership over the analytics layer
- Highly collaborative environment with product- and data-savvy stakeholders
- Outcome-focused team where pragmatism and impact matter more than process
Requirements
- You have 4+ years of experience in analytics engineering or data engineering, ideally in product-led or high-growth environments
- You have strong hands-on experience with dbt and enjoy designing modular, scalable, and well-tested data models
- You write advanced, performant, and maintainable SQL
- You can translate business and product requirements into robust data pipelines and metrics
- You have a strong product mindset and understand how data and metrics influence product direction
- You're comfortable operating across the stack and taking ownership end to end when needed
- You care deeply about data quality, clarity, and trust
- You're outcome-driven and can clearly articulate the impact your work has had on teams or the business
Benefits & conditions
At Synthesia we're passionate about building, not talking, planning or politicising. We strive to hire the smartest, kindest and most unrelenting people and let them do their best work without distractions.
Our work principles serve as our charter for how we make decisions, give feedback and structure our work to empower everyone to go as fast as possible. You can find out more about these principles here.
The good stuff...
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
