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About Bolt
Bolt is shaping a future where cities are built for people, not cars. What started as an ambitious project of a 19-year-old in 2013 has grown into a global mobility platform used by more than 200 million customers and 4.5 million driver and courier partners across 50 countries.
From ride-hailing and food delivery to scooters, e-bikes, and car-sharing, Bolt helps people move through cities every day. Small, autonomous teams drive this work, combining the speed and ownership of a startup with the scale of a global technology company backed by more than €1bn in funding.
And we're just getting started.
Why join Bolt?
As a Senior Data Analytics Engineer on the Finance Data Warehouse team, you will be responsible for analyzing business requirements and data, building data models, aggregates, pipelines, and integrations, and developing metrics, reports, and dashboards in the Finance and Commerce domain. You will empower the organisation with scalable, reusable, high-quality data products.
Main tasks and responsibilities
At Bolt, using AI daily is a baseline expectation for everyone. If there's a faster, smarter way to do your work, we expect you to find it. You're still responsible for the output, so the standard stays high when using AI tools. Experience is great, but what we really look for is drive, intelligence, and integrity. So even if you don't tick every box, please consider applying!
Everyone is welcome
Bolt is an equal opportunity employer. We are committed to building a diverse and inclusive workplace where all qualified applicants are considered for employment without regard to race, colour, nationality, religion, gender or gender identity, sexual orientation, age, or disability.
We welcome applications from all backgrounds and are happy to make reasonable accommodations throughout our hiring process. If you require any adjustments, please let us know.
Bolt is shaping a future where cities are built for people, not cars. What started as an ambitious project of a 19-year-old in 2013 has grown into a global mobility platform used by more than 200 million customers and 4.5 million driver and courier partners across 50 countries.
From ride-hailing and food delivery to scooters, e-bikes, and car-sharing, Bolt helps people move through cities every day. Small, autonomous teams drive this work, combining the speed and ownership of a startup with the scale of a global technology company backed by more than €1bn in funding.
And we're just getting started.
Why join Bolt?
- Build the future of mobility and help transform how people live and move in cities.
- Tackle challenges at scale that span technology, operations, regulation, and growth.
- Take real ownership early. Small, lean teams mean your decisions matter from day one, and you'll learn fast alongside some of the best people in the industry.
- Join one of Europe's leading technology companies, backed by world-class investors including Sequoia.
As a Senior Data Analytics Engineer on the Finance Data Warehouse team, you will be responsible for analyzing business requirements and data, building data models, aggregates, pipelines, and integrations, and developing metrics, reports, and dashboards in the Finance and Commerce domain. You will empower the organisation with scalable, reusable, high-quality data products.
Main tasks and responsibilities
- Design, build, and optimize elements of Bolt's Finance data platform.
- Integrate data flows and processes with ERP, Finance systems, and third-party solutions.
- Analyze, understand, and document business logic and data structures.
- Implement data models and metrics in the Data Warehouse, including reports and dashboards in the BI platform.
- Work independently and together with stakeholders (Product teams, Data Platform, Finance) to improve data infrastructure, pipelines, and reporting environment.
- Proactively solve technical and business challenges and fix bugs.
- You have a university degree in a technical subject (Computer Science, Mathematics, or similar).
- You are proficient in SQL (MySQL, PostgreSQL, SparkSQL, etc.) and data modeling, with bonus points for experience in distributed data processing (Spark or similar), cloud systems (AWS, Azure, GCP), and modern data stack tools like dbt, Airflow, or Fivetran.
- You have 2–4 years of experience in data or analytics engineering, with solid knowledge of data architectures, database design (OLTP/OLAP), and BI tools such as Looker or PowerBI.
- You are proficient in at least one programming language (e.g. Python) with a strong understanding of engineering best practices (version control, testing, CI/CD).
- You have an analytical mindset with the ability to understand and design solutions for business problems, ideally with prior exposure to accounting and financial data.
- You have good English and communication skills, and a willingness to experiment, learn, and grow.
- Accelerate your professional growth with unique career opportunities.
- Enjoy a rewarding salary and stock options, knowing that as Bolt succeeds, so do you.
- Take care of your physical and mental health with our wellness perks.
- Celebrate 5 years at Bolt with a 1-month paid sabbatical to recharge.
- Connect with colleagues at annual company events and smaller team gatherings.
- Balance flexibility and in-person collaboration with our hybrid model, including at least 12 monthly in-office days.
At Bolt, using AI daily is a baseline expectation for everyone. If there's a faster, smarter way to do your work, we expect you to find it. You're still responsible for the output, so the standard stays high when using AI tools. Experience is great, but what we really look for is drive, intelligence, and integrity. So even if you don't tick every box, please consider applying!
Everyone is welcome
Bolt is an equal opportunity employer. We are committed to building a diverse and inclusive workplace where all qualified applicants are considered for employment without regard to race, colour, nationality, religion, gender or gender identity, sexual orientation, age, or disability.
We welcome applications from all backgrounds and are happy to make reasonable accommodations throughout our hiring process. If you require any adjustments, please let us know.
Key Skills
Ranked by relevance
data warehouse
ai
postgresql
ai tools
python
looker
mysql
cloud
spark
sql
aws
gcp
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- Posted
- Jul 01, 2026
- Type
- Full-time
- Level
- Not Applicable
- Location
- Tallinn
- Company
- Bolt
Industries
Software Development
Categories
Information Technology
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