We are looking for a Full Stack Developer who is skilled in data, SQL, 3rd party API integrations, and overall systems thinking. This role will be responsible for working in our development system to build out business processes and tools for internal users. The ideal candidate will have experience in building and scaling backend systems, working with databases, and some experience making front–end applications. Additionally, experience with financial reporting or accounting data and analytics is a plus.

Key Responsibilities:

• Design, build, and maintain efficient, reusable, and reliable  databases, functions, and applications.
• Manage and optimize the integrations to ensure data synchronization and security.
• Collaborate with stakeholders to meet project goals, both within the development team and within the company.
• Troubleshoot and debug complex technical issues to maintain high-quality business operations.
• Document processes and workflows to support future development and scalability.
• Work with end users to ensure adoption and continuous improvement.

Qualifications:

• Extensive backend development experience.
• Proficient in TypeScript and Python
• Familiarity with database systems and data modeling (SQL, etc.).
• Experience integrating backend systems with third-party platforms 
• Understanding of RESTful APIs and microservices architecture.
• Strong problem-solving skills and ability to work in a fast-paced environment.
• Excellent communication and teamwork skills.
• Excellent English speaking and writing skills.

Nice to Have:

• Familiarity with pickleball and a passion for sports technology.
• Experience generating reports in an analytical capacity
• Experience with maintenance development of an ERP system
• Experience with Spark and/or Pandas python libraries
• Experience with cloud platforms (Supabase, Azure, Google Cloud).
• Experience with frontend technologies (React).
• Experience with Accounting data or software, understanding of accounting principles and terminology

What we offer:

• Global & Supportive Culture: Grow alongside an innovative, industry-leading international brand.

• Hybrid Work: Flexible remote options with a vibrant office hub in Ülemiste, Tallinn.

• Premium Well-being: 6 paid wellness days, mental health support, bi-weekly team lunches, and your choice of a sports allowance or private health insurance.

• Extra Time Off: Paid time off for your birthday, plus 4 paid "Recharge Fridays" off per year.

• Career Growth: Dedicated professional development and continuous learning opportunities.

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We are looking for an experienced Senior BI Analyst to join our Rides Central Operations hub to own and bridge the gap between stakeholders and the data repo. 

With over 200 million customers in 50+ countries, Bolt is one of the fastest-growing tech companies in Europe and Africa. And it's all thanks to our people.

We believe in creating an inclusive environment where everyone is welcome, regardless of race, colour, religion, gender identity, sexual orientation, age, or disability.

Our ultimate goal is to make cities for people, not cars, and we need your help to achieve this mission!

As a Senior BI Analyst in the Central Operations Analytics team you sit between business stakeholders and the data repo - translating operational questions into accurate, documented datasets and Looker explores that analysts and operators can self-serve. You own everything between marts/facts and the BI layer, and are a sparring partner to the operations analysts and business teams across Rides, Delivery, and wider verticals.

• Turn stakeholder and analyst requests into clear specs (grain, definitions, edge cases) before modelling, and validate output with source systems and stakeholders before sign-off.
• Build and maintain reusable dbt models, tests, and documentation; extend marts and facts for reporting and self-service.
• Maintain end-to-end Looker projects (LookML views, explores, refinements), keeping LookML in step with dbt-driven or synced explores where applicable.
• Use AI-assisted tooling (e.g. Cursor, Claude) and lightweight automations across dbt, Airflow, Databricks, Python, and Google Sheets to accelerate modelling and remove repetitive analyst work.
• Support break-fix and small refactors when upstream schemas or marts change; coordinate impact with key consumers.
• Follow system design and architectural best practices, collaborating with cross-functional stakeholders to ensure data integrity and consistency across the analytics stack.
   

• You hold a Bachelor and/or Master degree in Statistics, Economics, Data Science, Computer Science, Mathematics, Information Management, Business or similar studies.
• You have significant experience in BI, analytics, or data roles with end-to-end delivery ownership, and can demonstrate tangible impact in data modelling.
• You are proficient in SQL and dbt (refs, layers, tests, documentation) and fluent in LookML (explores, dimensions, measures, refinements, explore-as-code).
• You have a working knowledge of Python for analytics and automation; familiarity with Spark, Airflow, or semantic/metrics-layer patterns (dbt Semantic Layer, MetricFlow) is a plus.
• You are a strong cross-functional collaborator with good business sense, structured written communication (tickets, specs, PRs), and excellent verbal and written English.
• You are proactive, take ownership, flag blockers early, and care about how numbers are interpreted - not only that the pipeline runs.

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!

• 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.

*Some perks may differ depending on your location and role.

We are looking for a Senior ML Platform Engineer to join our ML Platform team to build, evolve and scale AI Infrastructure that powers Bolt's intelligent services

With over 200 million customers in 50+ countries, Bolt is one of the fastest-growing tech companies in Europe and Africa. And it's all thanks to our people.

We believe in creating an inclusive environment where everyone is welcome, regardless of race, colour, religion, gender identity, sexual orientation, age, or disability.

Our ultimate goal is to make cities for people, not cars, and we need your help to achieve this mission!

The ML Platform Team makes ML/AI easy at scale. We streamline development, testing and deployment of ML/AI systems for hundreds of real-time algorithms. 

We own training orchestration, an inference software stack and infrastructure, and a Feature Store, including VectorSearch and RAG tooling. We develop LLM tools and CI/CD for ML, covering the whole range of ML infrastructure needs.

Our tech stack includes TypeScript, Python, Spark (batch and structured streaming), Airflow, n8n, MLflow, LiteLLM, AWS SageMaker, Redis, Elasticsearch, Docker, Kubernetes, AWS (S3, EKS), Terraform, Great Expectations. 

• Designing, building, and optimising components of Bolt’s ML Platform.
• Optimise and extend our in-house Feature Store Platform serving billions of data points in real-time.
• Tune infrastructure (k8s and AWS) and build automations to achieve the best cost-performance.
• Proactively solve technical challenges, discover and build new features, enabling develop efficiency.
• Support our internal users and help with troubleshooting, and turn user problems into scalable solutions.
• Raise our product and technical quality bar, promoting software engineering best practices.

• 5+ years of experience in Software Engineering, out of which 2+ in ML/MLOPS/AI Engineering.
• Experience in leading and delivering complex cross-team projects.
• Production experience with Python, Spark, and Kubernetes.
• Experience in MLOPS and AI ecosystem, and developing end-to-end ML/AI solutions at scale.
• You strive for technical excellence while staying pragmatic to achieve outcomes for the users.

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!

• 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.

*Some perks may differ depending on your location and role.

We are looking for an experienced Senior Analytics Engineer to join our Rides Product team to empower the organisation with scalable, reusable, high-quality data products and solutions to improve the experience of many millions of riders and drivers across the globe.

With over 200 million customers in 50+ countries, Bolt is one of the fastest-growing tech companies in Europe and Africa. And it's all thanks to our people.

We believe in creating an inclusive environment where everyone is welcome, regardless of race, colour, religion, gender identity, sexual orientation, age, or disability.

Our ultimate goal is to make cities for people, not cars, and we need your help to achieve this mission!

As a Senior Analytics Engineer in the Rides Product team you will be much more than a data expert, you will actively contribute to shaping the future of mobility. You will empower the organisation with scalable, reusable, high-quality data products and solutions that drive impact across Product and beyond. You will own everything between the data producers and data consumers, and be a sparring partner to our product analysts.

• Work closely with product analysts and adjacent stakeholders to prioritize and align analytics engineering roadmaps, ensuring that solutions meet the long-term business needs
• Build, expand and maintain reusable data models and metrics in dbt
• Set up and manage the architecture, documentation, and key data transformations for in-house and third-party data
• Improve the efficiency and impact of product analysts through data products, processes, collaboration and active knowledge-sharing
• Develop strategic data products such as segmentation feature store or enable advanced solutions such as interactive metrics trees
• Follow system design and architectural best practices and closely collaborate with cross-functional stakeholders to ensure data integrity and efficiency across all processes

• You hold a Bachelor and/or Master degree in Statistics, Economics, Data Science, Computer Science, Mathematics, Information Management, Business or similar studies
• You have significant experience with data modeling, developing analytics architectures for large volumes of data and can demonstrate tangible impact in the area
• You are proficient in SQL, Python, Spark, data modelling tools such as dbt and orchestration tools such as Apache Airflow
• You possess excellent knowledge of system design and architectural best practices with a focus on reusability, maintainability, reliability, and scalability
• You are a strong cross-functional collaborator with a good business sense and excellent communication skills in verbal and written English
• Previous exposure to Business Intelligence tools such as Looker or Tableau would be an advantage

Experience is great, but we also look for drive, intelligence, and integrity. So, even if you don’t tick every box, please consider applying if you feel you’re the kind of person described above!

• Play a direct role in shaping the future of mobility.
• Impact millions of customers and partners in 600+ cities across 50+ countries.
• Work in fast-moving autonomous teams with some of the smartest people in the world.
• Accelerate your professional growth with unique career opportunities.
• Get a rewarding salary and stock option package that lets you focus on doing your best work.
• Enjoy the flexibility of working in a hybrid mode with a minimum of 2 days in the office each week to foster strong connections and teamwork.
• Take care of your physical and mental health with our wellness perks.

*Some perks may differ depending on your location and role.

We are looking for a Senior Data Analytics Engineer to join our 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.

With over 200 million customers in 50+ countries, Bolt is one of the fastest-growing tech companies in Europe and Africa. And it's all thanks to our people.

We believe in creating an inclusive environment where everyone is welcome, regardless of race, colour, religion, gender identity, sexual orientation, age, or disability.

Our ultimate goal is to make cities for people, not cars, and we need your help to achieve this mission!

As a Senior Data Analytics Engineer for the Finance Data Warehouse team, you will be much more than a data expert, you will actively contribute to shaping the future of mobility. You will empower the organisation with scalable, reusable, high-quality data products. 

• Designing, building and optimizing elements of Bolt’s Finance data platform
• Integrating data flows and processes with ERP, Finance systems and 3rd party solutions
• Analyzing, understanding and documenting business logic and data structures
• Implementing data models and metrics in Data Warehouse including metrics, reports and dashboards in BI platform
• Proactively solving technical and business challenges and fixing bugs
• Work independently and together with stakeholders (Product teams, Data Platform, Finance) to improve data infrastructure, pipeline and reporting environment

• A university degree in a technical subject (Computer science, Mathematics or similar)
• Proficient in SQL (MySQL, PostgreSQL, SparkSQL etc.) and data modeling. Extra credit from hands-on experience in distributed data processing (Spark or similar), working with cloud systems (AWS, Azure, Google) and operating with modern data stack tools like dbt, airflow, fivetran etc.
• At least 2-4 years of experience in data engineering or analytics engineering with solid knowledge of algorithms, data architectures and database design (OLTP/OLAP) and experience with BI tools such as Looker or PowerBI
• Good English and communication skills, willingness to experiment, learn and grow
• Competency and experience at least with 1 programming language like Python and strong understanding of engineering best practices (version control, testing, CI/CD)
• Keen to understand business logic, analytical skills to design solutions for business. Previous understanding of accounting and financial data, analytics and integrations

Experience is great, but we also look for drive, intelligence, and integrity. So, even if you don’t tick every box, please consider applying if you feel you’re the kind of person described above!

• Play a direct role in shaping the future of mobility.
• Impact millions of customers and partners in 600+ cities across 50+ countries.
• Work in fast-moving autonomous teams with some of the smartest people in the world.
• Accelerate your professional growth with unique career opportunities.
• Get a rewarding salary and stock option package that lets you focus on doing your best work.
• Enjoy the flexibility of working in a hybrid mode with a minimum of 2 days in the office each week to foster strong connections and teamwork.
• Take care of your physical and mental health with our wellness perks.

*Some perks may differ depending on your location and role.

 
We are seeking an experienced Economist to transform how we measure value across Bolt's critical two-sided marketplaces, tackling complex challenges like network effects to optimize pricing, matching, and commissions. You will fully own marketplace experimentation, ensuring healthy test design, and driving R&D to develop novel methods for aligning objectives and measuring long-term impact.

 
 
With over 200 million users in 50+ countries, Bolt is one of the fastest-growing tech companies in Europe and Africa. And it's all thanks to our people.

We believe in creating an inclusive environment where everyone is welcome, regardless of race, colour, religion, gender identity, sexual orientation, national origin, age, or ability.

Our ultimate goal is to make cities for people, not cars. And we need your help on this mission!
 

 
 
You will fully own and transform our approach to measuring the impact of the marketplaces teams. 

Marketplace experimentation is uniquely challenging because customer interactions cause network effects, which break traditional A/B testing assumptions. While we currently use the switchback test design, it presents limitations like lower statistical power, spillover effects, and a restricted focus on short-term results.

Your work will impact critical business decisions across the company, such as adapting ride prices to balance supply and demand, efficiently matching riders and drivers, and setting attractive delivery commissions.
 

 
 

• Collaborate with marketplace teams across the company to optimize sensitivity and speed of their switchback tests
• Provide standardized guidance to teams on network effects and how to select the right measurement methods.
• Drive R&D to deepen our understanding of marketplace dynamics and implement new methods to measure long-term impact
• Deliver proof-of-concepts clear enough for engineers to platformise and scale company-wide

 
 

• A strong background (PhD or equivalent experience) in the application of econometric or statistical theory to business or policy decisions
• Work well in highly collaborative environments to understand the context-specific challenges of teams and work with them to find and develop solutions
• Proven experience in applying causal inference methods to real product or policy decisions, with at least a theoretical understanding of two-sided marketplaces
• Comfort reading and implementing methods from research papers: you can go from a paper's mathematical notation to a working Python proof-of-concept
• Self-direction to define your own roadmap and drive it – you will have strong support and context along the way
• Experience with data science at scale using big data tools like Spark/Databricks

 
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!
 

 
 

• Play a direct role in shaping the future of mobility.
• Impact millions of customers and partners in 600+ cities across 50+ countries.
• Work in fast-moving autonomous teams with some of the smartest people in the world.
• Accelerate your professional growth with unique career opportunities.
• Get a rewarding salary and stock option package that lets you focus on doing your best work.
• Enjoy the flexibility of working in a hybrid mode with a minimum of 3 days in the office each week to foster strong connections and teamwork.
• Take care of your physical and mental health with our wellness perks.

  *Some perks may differ depending on your location and role.