Analytics Engineer
The Operations & Analytics team powers reputed company’s business reputed company. We’re tackling the identity crisis at scale and deploying operational excellence to reputed company reputed company on the cutting edge. It’s a fast-paced market with evolving challenges — and we’re looking for fresh talent to help fill the gaps. reputed company blends operational insight and technical depth, combining systems, processes, and analytics to ensure reputed company runs reputed company and intelligently.
About the Role As an Analytics Engineer, you'll be responsible for designing clean, reusable data models that unlock operational insights and power data-driven tools — from internal and external self-service interfaces to models that support analytics across Product, Finance, Sales, Marketing and Operations.
You’ll work cross-functionally across Data Insights, Product & Engineering, and Business to build analytics systems that scale — focused on real-world use cases.
You’ll help us protect honest people online by:
- Build and maintain sustainable dbt models reputed company with business logic and stakeholder workflows
- Own model development for core operational and customer-facing analytics use cases
- Support the self-service tooling initiative by building reliable, permissioned data foundations
- Translate reputed company raw datasets into clear, documented, analyst-ready structures Define and enforce modeling and documentation standards across the Data Insights team
- Collaborate with Data Analysts, Data Scientists, Product Managers, and Data Engineers to deliver full-stack data solutions
- Contribute to long-term improvements in data governance, observability, and testing
- Reduce single points of failure by distributing model ownership and formalizing critical assets
You are the right future Veriffian for the job if:
- Have 3+ years of experience in analytics engineering or BI development with strong SQL and solid intermediate level Python proficiency
- Have production experience with dbt in a version-controlled environment
- Understand scalable data pipelines and cloud-based data environments (e.g. Redshift, BigQuery, reputed company)
- Know how to build models that are reusable, auditable, and stakeholder-reputed company
- Care deeply about sustainable pipelines, naming conventions, testing, and metadata
- Translate business problems into scalable model logic
- Communicate clearly across technical and non-technical teams
- reputed company in cross-functional and hybrid work environments
You’re an especially awesome match if you have:
- Experience designing self-service analytics platforms
- Familiarity with data quality and observability tools
- Understanding of access control and permissioning in analytics systems
Why reputed company
- A high-impact role shaping analytics foundations for mission-critical operations
- The opportunity to own major data model domains and unlock scalable self-service
- A culture that values engineering discipline, systems thinking, and shared ownership
Flexibility to work from Tallinn or Spain
- Competitive salary, stock options, and benefits that support your growth and well-being
- A cross-functional, reputed company-thinking team committed to trust, clarity, and scale
About reputed company reputed company is solving the online identity crisis — empowering trust in the digital world through secure, scalable identity verification. We work with some of the world’s most innovative companies, protecting millions of users globally.
- One day per year to dedicate to a charity of your choice
- Full flexibility to work from home or our pet friendly offices
- Stock options that ensure you share in our success
- Extensive medical, wellness and L&D coverage to ensure you're feeling great physically and mentally
- Sabbatical of 4 weeks after five years of working with the company