Analytics Engineer
Veriff
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇪🇪 Estonia
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
Amazon RedshiftBigQueryCloudPythonSQL
About the role
- Design clean, reusable data models that unlock operational insights and power data-driven tools
- Build and maintain sustainable dbt models aligned 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 complex 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
Requirements
- 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, Snowflake)
- Know how to build models that are reusable, auditable, and stakeholder-aligned
- 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
- Thrive in cross-functional and hybrid work environments
- Experience designing self-service analytics platforms (preferred)
- Familiarity with data quality and observability tools (preferred)
- Understanding of access control and permissioning in analytics systems (preferred)
Benefits
- Competitive salary, stock options, and benefits that support your growth and well-being
- 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
SQLPythondbtdata modelingdata governancedata pipelinesanalytics engineeringBI developmentdata qualityobservability
Soft skills
communicationcollaborationproblem-solvingcross-functional teamworkadaptabilityattention to detailstakeholder managementdocumentationorganizational skillscritical thinking