Senior Data Analytics Engineer
Sofia, Bulgaria - Hybrid
- Pay
- Pay not listed
- Work setting
Hybrid stated — work setting source
Listed location: Sofia, Bulgaria - Hybrid
Read the full posting- Employment
- Not stated
What you’ll work on
Full postingBuild new data pipelines to track new business initiatives
Refactor data systems to scale with volume and new requirements
Improve prediction accuracy of customer acquisition bidding algorithms
Perform customer segmentation analysis to guide product improvements
Improve alerting systems to triage data quality issues at scale
From the employer’s posting
Build new data pipelines to support tracking of new business initiatives
Refactor data system to scale with increased volume and new requirements
Improve the prediction accuracy of our customer acquisition machine-learning bidding algorithms
Perform customer segmentation analysis to discover where to improve Insurify products
Improve alerting systems to help us triage data quality issues at scale
What you’ll bring
All qualificationsCore experience
- 3-4 years in analytics, data engineering, data science or data analysis
- Expertise in and real-world experience with SQL
- Exposure to data warehousing and ETL concepts
- Strong quantitative and programming skills, Python preferred
- Bachelor's or Master's in math, engineering, CS, economics or similar technical major
Qualification wording
3-4 years of experience, record of impact and success in a similar role
Expertise in and real-world experience with SQL
Exposure to data warehousing and ETL concepts
Strong quantitative and programming skills - Python (preferred)
Bachelors / Masters in Mathematics, Engineering, CS, Economics, or other technical major
Tools in this posting
- C++
- Python
- R
- Ruby
- Rust
- SQL
- Go
Source — Tool mentions in context
- Exposure to data warehousing and ETL concepts - Strong quantitative and programming skills - Python (preferred) R, Rust, Go, Ruby, C++ also good - Bachelors / Masters in Mathematics, Engineering, CS, Economics, or other technical major
- Scale the business using data - Work on a mix of analytics engineering, business analytics, and data science using SQL and Python - Build scalable data infrastructure that solves real problems
- 3-4 years of experience, record of impact and success in a similar role (Analytics or Data Engineering, Data Science, Data Analysis) - Expertise in and real-world experience with SQL - Exposure to data warehousing and ETL concepts
Benefits in the posting
Full benefits wording- Employee stock options
- 25 days annual leave
- Enhanced private medical, dental and vision insurance plans
- Yearly wellbeing budget or Multisport card
- Personal budget for learning and books
- Employee Assistance Program and other wellbeing perks
- Office kitchen and fun area with snacks and beverages
- Regular social events
- Friendly office culture
- Hybrid office
From the employer’s posting.
Posting record
Report an errorOpen 6 monthsWe first saw this listing 191 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Apr 15, 2026 · 191 days ago
- Recorded sightings
- 132
- Last seen by us
- Oct 24, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
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Job description
Why us?
Insurify is one of the America’s fastest-growing MIT FinTech startups and has been recognized as one of Inc. 5,000’s fastest-growing private companies in America in 2025, 2024, 2023, 2022 and 2021, Forbes Fintech 50 List for 2023, 2022, and 2021, Forbes Next Billion Dollar Startups of 2022 global and Top 100 InsurTech company. We’re changing the way millions of people compare, buy and manage insurance with artificial intelligence, technology, and superior product design.
Our company vision is to be recognized as the preeminent and most trusted digital agent for insurance comparison, purchase, and management. Our team is critical to achieving our vision and fostering the right culture is essential to our team’s success.
How you will make an impact:
- Lead cross-functional projects from ideation to execution with a high degree of independence and maximum impact
- Solve high velocity, high impact analytics problems
- Scale the business using data
- Work on a mix of analytics engineering, business analytics, and data science using SQL and Python
- Build scalable data infrastructure that solves real problems
Sample projects:
- Operate and improve a data product to serve evolving business needs
- Refactor data system to scale with increased volume and new requirements
- Build new data pipelines to support tracking of new business initiatives
- Champion usage of new tools and systems to improve team processes
- Improve the prediction accuracy of our customer acquisition machine-learning bidding algorithms
- Perform customer segmentation analysis to discover where to improve Insurify products
- Improve alerting systems to help us triage data quality issues at scale
Key Skills + Background
- 3-4 years of experience, record of impact and success in a similar role (Analytics or Data Engineering, Data Science, Data Analysis)
- Expertise in and real-world experience with SQL
- Exposure to data warehousing and ETL concepts
- Strong quantitative and programming skills - Python (preferred) R, Rust, Go, Ruby, C++ also good
- Bachelors / Masters in Mathematics, Engineering, CS, Economics, or other technical major
- Quick learning ability and a drive suitable for the startup hustle.
- A positive team player with a solid work ethic who is ready to pivot between projects, learn from mistakes, always move forward, and help build the next big thing in insurance!
Benefits
- Employee stock options
- 25 days annual leave
- Enhanced private medical, dental and vision insurance plans
- Yearly wellbeing budget or Multisport card
- Personal budget for learning and books
- Employee Assistance Program and other wellbeing perks
- Office kitchen and fun area with snacks and beverages
- Regular social events
- Friendly office culture
- Hybrid office
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Sofia, Bulgaria - Hybrid
- Friendly office culture - Hybrid office We are proud to be an Equal Employment Opportunity and Affirmative Action employer.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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