Responsibilities

• Perform Test Analysis, Design and Implementation of test cases
• Maintain, update & extend existing automation framework
• Analyze, investigate and report defects on failures
• Monitoring of test automation results
• Close collaboration with other stakeholders
• Handle concurrent projects with differing levels of urgency

Qualifications, Skills & Attributes

Minimum qualifications:

• Proficient knowledge and hands-on experience with Java and Python
• Strong understanding of OOP fundamentals and design pattern applications
• Experience with writing either unit tests or UI tests
• Bachelor's degree in computer science, physical science or engineering
• Good verbal and written communication skills in English

Preferred qualifications:

• Experience with test automation of Desktop applications
• Experience with test automation of Mobile applications (iOS & Android)
• Experience with test automation of Web applications
• Experience with at least one automation tool like TestComplete, Ranorex, Squish, Katalon etc.
• Experience with test automation libraries like Selenium, Robot, Cypher
• Working knowledge of Git (GitLab, Bitbucket etc.)
• Experience with JIRA and Confluence
• Basic experience in JavaScript, Groovy
• Experience with Squish
• Experience with CI/CD pipelines like Jenkins
• Experience with build tools like Ant, Maven etc.
• Basic user knowledge of Unix

Company Benefits & Perks 

• Discretionary, performance based bonus
• Private health insurance, sport activity compensation 
• Stock incentive plan
• Daily food allowance in the office
• Great atmosphere with friendly and exceptional colleagues and frequent company outings.

*The benefits package will be reviewed regularly and may be subject to change.

At Wolt, world-class customer service isn’t an afterthought, it’s at the heart of everything we do 💙 We’ve built our reputation on delivering fast, thoughtful, and high-quality support, and we’ve done that by investing deeply in our own technology. Rather than just reacting to problems, we aim to solve them before our customers and partners even notice. Behind the scenes, that means building systems that scale globally, handle real-world complexity, and empower support teams to do their very best work. 

This is where the Multilingual Intelligence & Resolution Automation (MIRA) team comes in. The team is on a mission to make customer support truly borderless. We’re building intelligent, AI-powered systems used across Wolt, DoorDash, and Deliveroo, including a real-time translation engine that supports seamless conversations across 20+ languages. Processing hundreds of requests per minute and powered by modern cloud infrastructure and state-of-the-art LLMs, this system enables borderless support and helps create experiences that feel natural, human, and native, no matter where you are in the world. And we’re only just getting started. 🚀

What you’ll be doing

• Design, build, and operate scalable backend services powering real-time, customer-facing systems
• Develop and evolve AI-powered translation capabilities using LLMs in production
• Help build the tooling and infrastructure needed to evaluate models across quality, latency, and cost
• Collaborate closely with product, applied science, frontend, and platform teams to turn complex support problems into robust user-facing systems
• Take ownership of technical decisions and help shape the architecture and future direction of the system
• Improve the performance, reliability, and operational readiness of services handling real production traffic
• Continuously explore better ways of working, including leveraging AI tools to improve development workflows

Our humble expectations

• 👉 You have solid experience designing, building, and integrating quality software (microservices) at scale within a complex domain.
• 👉 You have strong backend development skills in Python or Go (interest in other tech is highly appreciated)
• 👉 You actively leverage modern AI tools (such as GitHub Copilot, Claude, ChatGPT or similar) to enhance your productivity, code quality, and day-to-day development workflow.
• 👉 You have strong technical leadership skills.
• 👉 You have experience with cloud platforms (AWS or similar), container orchestration (Kubernetes, Docker), observability tools (such as DataDog), and database technologies (SQL and NoSQL).
• 👉 Your stakeholder management skills are excellent.
• 👉 You're a pragmatic problem-solver with a growth mindset, eager to step outside your comfort zone and continuously learn.
• 👉 You're comfortable working with real-world data and its nuances.

What we offer

• A chance to build something that truly matters, technology that enables people to connect and solve problems across languages and borders
• The opportunity to work with AI and LLMs in real, high-impact production use cases
• Flexibility to work from Helsinki or Tallinn (hybrid), or remotely within Finland or Estonia
• Being part of a global engineering organization of 2000+ people, we aim to build none other than the best-in-the-world engineering team here.
• You’ll get to work in a company culture where we take ownership beyond the obvious, do common things uncommonly well, we think big but stay humble, do right by people, we treat others kindly and justly, recognise that if we don’t learn, we won’t stay still but fall behind, and keep in mind that Luke was Yoda’s greatest achievement.

🙌 Join us for an exciting journey of creating technology that brings joy, simplicity, and earnings to the neighbourhoods of the world!

World-class customer service is one of the cornerstones of Wolt 💙 Over the years we have invested a lot in our in-house built support tooling. Why? Because we're convinced it's the secret sauce that ensures smiles on the faces of our customers and partners across all 30 countries that we operate in. We take huge pride in our customer operations’ quality, so on top of building delightful support experiences in our consumer app we also aim to uncover and tackle issues before our customers and partners even notice something might be wrong.

In a nutshell, the Support Productivity team is building world-class internal tools for our customer, merchant and courier support. Support is a big deal for us and we will do our best to keep our 25M+ registered customers, 200.000+ courier partners, and 100.000+ restaurant and retail partners happy. Support Productivity is a new team is playing a key role in this equation and it takes some real serious work from our dedicated support teams in each of the 30 countries to ensure the satisfaction of those customers and partners 

We are building several admin applications on top of our inhouse chat application to provide a custom support platform that is scalable, reliable and efficient. Our tool supports several thousand concurrent users on top of our in-house chat application built to serve 20mil+ conversations each month. 

So, if you're ready to roll up your sleeves and craft tools that match the same level of quality and passion we dedicate to creating our external solutions, you've found your tribe at Wolt! 💙

📍This role can be based in our tech hub in Tallinn or Helsinki.

Key Responsibilities:

1. Develop responsive and user-friendly interfaces using modern frameworks such as React + TypeScript
2. Collaborate with cross-functional teams to translate designs and requirements into functional features.
3. Ensure performance, scalability, and accessibility of web applications across browsers and devices.
4. Debug, test, and maintain codebases to ensure reliability and quality.
5. Stay updated with frontend technologies and implement best practices.

Our humble expectations

• Frontend experience with focus on React.js and TypeScript,
• Testing experience is considered as a plus (unit testing - Jest, react-testing-library),
• Experience in building scalable and efficient frontend applications 
• Curiosity and willingness to learn
• Ability to communicate effectively with stakeholders
• Product thinking - you should not only do what’s being told, but participate in conversations, and challenge the proposed solutions

Nice to have:

• Experience with backend is a benefit (NodeJs, Python, MongoDB). 

Next steps:

These positions will be filled as soon as we find the right persons, so make sure to apply as soon as you realize you really, really want to join us!

Who we are

The role

At Helsing we develop and deliver AI-based capabilities and the enabling infrastructure that allow semi-autonomous platforms to localise, navigate, and perceive the world in real time. We build software that is subject to significant and unorthodox technical constraints, must operate in a wide variety of constantly-changing environments, and has to support an ever-growing list of challenging use-cases. What we build ultimately ends up in the hands of real people in high-risk, high-stress situations, so must be both reliable and frictionless. Taken together, this brings a whole host of interesting engineering challenges across a wide variety of fields that you’ll help us solve. To give some examples:

• Distributed systems (e.g., intermittent connectivity and byzantine actors)

• Embedded computing (e.g., resource-constrained compute and reverse-engineering)

• Robotics (e.g., control systems and tasking)

• Networking (e.g., long-range low-bandwidth radios and cross-medium routing)

• Deployment infrastructure (e.g., air-gapped devices and heterogenous fleets)

• Security (e.g., data sharing in low-trust, no-TLS networks and actually-secret data handling)

• Machine learning (e.g., systems for model development, storage, and dissemination)

In several of these areas, we are working near the state-of-the-art; we actively read (and sometimes implement) research papers, and often need to push even further to make theory work in practice. In others, we are applying well-known techniques to real-world situations (with real-world limitations) that have never been used in before, which requires skill, diligence, and honing a deep understanding of the underlying technologies.

The day-to-day

• Review code contributions, proposals, and RFCs from colleagues. At Helsing we strongly believe that unblocking others takes precedence over spending more time on your own work.

• Propose and implement new features, capabilities, algorithms, infrastructure, or even full products across our stack. We encourage our engineers to look beyond their immediate team for missed opportunities, and to speak up when they identify one.

• Become a mentor, find a mentee, and help support and develop our interviewing pipeline. The people make or break the company, and we want as many engineers as possible to be part of fostering and growing the organisation.

• Share your experience and technical know-how with other Helsingers. We host tech talks, get together for smaller “let’s learn together” groups, run topical office hours (e.g., on Rust), etc. to help each other get better with time.

• Maintain our existing software stack, including working with internal and external customers to identify issues, improving operational reliability and performance, and fending off technical debt. The stack is a mix of Rust and Python, with Python mainly living in the ML-heavy sections.

• Further develop our tests and benchmarks, both at the micro and macro level. We operate in a domain where robustness is of the utmost importance, and an extensive and ever-improving test suite is key to achieving that. And without thorough benchmarks, we would be flying blind.

• Present your work at our weekly demo sessions. We want engineers to come together around what they are working on and to feel like they are not endlessly squirrelling away at something that doesn’t matter. To that end, we host (and actively work towards) demo sessions that allow early feedback, celebration of progress, and a better shared understanding of everything that goes on at Helsing.

You should apply if you

• Can write legible, maintainable, and performant code.

• Communicate well in English, both verbally and in writing.

• Enjoy collaborating with others, including reviewing code and pair programming.

• Are comfortable working asynchronously (writing PRs and RFCs, having discussions by email).

• Have backend development experience, ideally with a language like Rust, Java, Go, or C++.

• Are familiar with backend interface tools like REST, GraphQL, gRPC/Protocol Buffers, and Arrow.

• Strive to improve yourself, your peers, and the culture you work in over time.

• Feel like ethical considerations are an inherent part of engineering.

Note: We operate at an intersection where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.

Nice to have

• Rust and Python specifically.

• Container-based and cloud-native application architectures (e.g., Docker, Azure, AWS).

• Metrics tooling (e.g., Prometheus, Grafana, ELK).

• SQL and streaming database systems.

• Routing protocols (e.g., IGP, BGP).

• Cryptographic protocols (e.g., Signal, WireGuard).

• Hardware interfaces (e.g., Arduino).

• Robotics (e.g., control systems).

• Production ML systems.

Join Helsing and work with world-leading experts in their fields 

• Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns. 

• The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world. 

• Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward. 

• In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts.  

• We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about. 

What we offer

• A focus on outcomes, not time-tracking

• Competitive compensation and VSOP options

• Relocation support

• Social and education allowances

• Regular company events and all-hands to bring together employees as one team across Europe

• A hands-on onboarding program (affectionately labelled “Infraduction”), in which you will be building tooling and applications to be used across the company. This is your opportunity to learn our tech stack, explore the company, and learn how we get things done - all whilst working with other engineering teams from day one 

Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.

Who we are

The role

Software only matters when it is actively being used and making a difference. As a Deployed AI Engineer, you will be at the heart of this - taking state-of-the-art software and integrating it into complex systems. You will be defining and executing against the end-to-end outcome and all steps on the way to delivering novel capabilities in some of the most challenging environments around.

For example: you collaborate directly with customer avionics engineers to understand the data structures and APIs used in aircraft mission control systems. Instead of being scared, you embrace the complexity of unfamiliar databases, APIs, or network protocols; you dig into the specification and use your creativity and ingenuity to implement adapters for integrating them with Helsing’s cloud infrastructure. By working closely with our partners and customers (both metaphorically and quite literally), you continuously evolve, improve, and operate Helsing software. You own the outcome end-to-end.

The day-to-day

In close collaboration with our product teams, you will discover and formalise customer requirements, identify bugs, and ship the latest features directly to our users. Technology demonstrations are our chance to shine - you will coordinate between customers, partners, and Helsing engineers to showcase Helsing’s software and AI capabilities in simulations or with real systems.

You should apply if you

• Have a degree in computer science, software engineering, electrical engineering, or other relevant fields.

• Have a broad understanding and creative use of computer systems; this is the Swiss army knife in Helsing’s toolbox of world-class talent.

• Prefer asking questions over stipulating answers.

• Love figuring things out, digging deeper and deeper into unfamiliar systems until it finally clicks, and you understand how they work.

• Are not afraid of legacy systems and would rather make them work than give up and try to rewrite it all.

• Are comfortable with scripting languages such as Bash or Python and have experience with software engineering in C++, Java, Rust, or similar.

• Can navigate and configure Linux systems and have an understanding of network stacks and database systems.

• If applying for Germany- it is a requirement that you are able to speak business level or fluent German

Note: We operate at an intersection where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.

Nice to have

• Experience with Rust and Python.

• Experience with container-based, cloud-native and edge application architectures.

• Experience with maintaining and operating production systems using Prometheus, Grafana, ELK, or similar.

• Experience with SQL, NoSQL, and streaming database systems.

• Experience with production ML systems.

• Bonus points: you have professional experience working in a defence context.

Join Helsing and work with world-leading experts in their fields 

• Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns. 

• The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world. 

• Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward. 

• In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts.  

• We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about. 

What we offer

• A focus on outcomes, not time-tracking

• Competitive compensation and VSOP options

• Relocation support

• Social and education allowances

• Regular company events and all-hands to bring together employees as one team across Europe

• A hands-on onboarding program (affectionately labelled “Infraduction”), in which you will be building tooling and applications to be used across the company. This is your opportunity to learn our tech stack, explore the company, and learn how we get things done - all whilst working with other engineering teams from day one 

Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.

We’re hiring a Senior Data Analytics Manager, Applied Marketing Measurements to lead the function that powers measurement, experimentation, and targeting across all of Bolt Marketing, from Performance and Brand to Lifecycle CRM. This role is your opportunity to shape how we drive measurable impact across 300+ markets and 100M+ users.

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!

You’ll lead a team of senior analytics experts responsible for developing the frameworks and tooling that enable Bolt’s marketing analytics and operational teams to make the best decisions every day, rom at-scale customer targeting to multi-million euro investments in advertising and branded campaigns. This is a global, cross-functional leadership role with high visibility and ownership. You’ll collaborate closely with leaders across Marketing, Product, and Data.

• Lead a team of 3–5 Senior/Lead Data Analysts covering Performance, Brand, and CRM Marketing domains.

• Own strategy and implementation of frameworks for causal inference, segmentation, uplift modeling, experimentation, and other similar areas.

• Drive the measurement roadmap with internal and external stakeholders (Directors to SVPs of Bolt departments).

• Build internal tools and models that enable scalable personalization and accurate marketing measurement.

• Partner with internal teams and external vendors (e.g. Google, Meta, Braze) to shape tooling and playbooks.

• Ensure methodological excellence and operational efficiency across hundreds of campaigns and millions of communications.

• 5+ years of experience in analytics, data science, or experimentation, ideally in a large tech environment.
• MSc in Mathematics, Economics, Statistics, or other quantitative fields.
• Strong hands-on skills in SQL and either Python or R; deep understanding of statistical inference methods.
• Proven leadership experience managing technically strong analysts or data scientists.
• Excellent verbal and written communication skills, English fluency.
• Bonus if you have a PhD in quantitative field, research experience, or prior work experience with marketing or customer analytics.

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 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.

We’re looking for a highly hands-on Principal Program Manager (Builder-Operator) to drive AI impact within Rides Central Operations.

This is not a traditional program management role. You’ll personally design, build, and deploy AI tools, agents, dashboards, and decision systems, while also driving prioritisation, rollout, adoption, and governance across Rides.

 
 
  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!
 

 
 

This is an individual contributor (IC) role with high ownership and no direct reports. It’s built for someone eager to build, own, and deliver real change in a complex operational environment.

 

• Personally build and deploy AI tools, agents, dashboards, and decision-support systems for Rides Operations, taking solutions from prototype to production-ready use.
• Identify high-friction operational problems across markets and turn them into scalable AI solutions that improve cost, efficiency, reliability, and growth.
• Work independently with internal data, APIs, LLMs, and automation frameworks, shipping usable tools with minimal reliance on Engineering, Data, or Product support.
• Drive solutions end to end: problem definition, prioritisation, build, pilot, rollout, adoption, and iteration.
• Create clear decision materials for leadership, highlighting trade-offs, risks, ROI, and operational impact.
• Define guardrails and governance for responsible AI use, ensuring solutions are explainable, compliant, and aligned with long-term platform standards.

• You have demonstrated hands-on experience personally building and deploying applied AI solutions, such as AI agents, workflow automations, dashboards, or decision-support tools.
• You are comfortable using Python, SQL, APIs, LLMs, and automation/workflow tools to build MVPs and production-lean solutions yourself.
• You understand how to move from prototype to production, including reliability, monitoring, rollout, and iteration in real operational environments.
• You can independently turn ambiguous business problems into structured execution plans and deliver measurable outcomes end to end.
• You are effective with senior stakeholders and can align technical implementation with business priorities and operational goals.
• You have experience working in scaled organisations where AI solutions are already live and embedded into core processes.

 
 
  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.

We are looking for a Catalog Operations Manager (Grocery & Retail) to own and elevate the global catalog quality for Grocery & Retail merchants at Bolt Food.

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 Catalog Operations Manager, you will you will ensure that our platform accurately reflects the breadth and quality of products available in our merchants’ physical stores - driving SKU accuracy, product discoverability, and overall menu quality to deliver a best-in-class customer experience and unlock commercial growth.

• Take ownership of end-to-end projects, turning complex challenges into streamlined, high-impact solutions.
• Influence the roadmap by identifying market trends and translating them into actionable growth opportunities.
• Work shoulder-to-shoulder with cross-functional teams to ensure a seamless, world-class user experience.
• Analyze key performance metrics to refine processes, ensuring our operations are as lean as they are effective.
• Act as a technical or operational North Star, fostering a culture of excellence and continuous learning within the team.
• et the gold standard for every deliverable, ensuring our brand remains synonymous with reliability and innovation.

• You don’t just meet targets; you have a history of smashing them in fast-paced, evolving environments.
• You possess the "detective" skills to dive deep into data and the "architect" skills to build from your findings.
• You can distill technical jargon into "boardroom-ready" insights that inspire stakeholders at all levels.
• You thrive in the "grey area," pivoting quickly when priorities shift without losing sight of the finish line.
• You are a power user of Excel/G-Sheet skills are a must (Python or SQL knowledge is a plus.
• You’re not looking for a "desk job"—you’re looking for a platform where your ambition and curiosity are rewarded.

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 Catalog Operations Manager (Grocery & Retail) to own and elevate the global catalog quality for Grocery & Retail merchants at Bolt Food.

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 Catalog Operations Manager, you will you will ensure that our platform accurately reflects the breadth and quality of products available in our merchants’ physical stores - driving SKU accuracy, product discoverability, and overall menu quality to deliver a best-in-class customer experience and unlock commercial growth.

• Take ownership of end-to-end projects, turning complex challenges into streamlined, high-impact solutions.
• Influence the roadmap by identifying market trends and translating them into actionable growth opportunities.
• Work shoulder-to-shoulder with cross-functional teams to ensure a seamless, world-class user experience.
• Analyze key performance metrics to refine processes, ensuring our operations are as lean as they are effective.
• Act as a technical or operational North Star, fostering a culture of excellence and continuous learning within the team.
• et the gold standard for every deliverable, ensuring our brand remains synonymous with reliability and innovation.

• You don’t just meet targets; you have a history of smashing them in fast-paced, evolving environments.
• You possess the "detective" skills to dive deep into data and the "architect" skills to build from your findings.
• You can distill technical jargon into "boardroom-ready" insights that inspire stakeholders at all levels.
• You thrive in the "grey area," pivoting quickly when priorities shift without losing sight of the finish line.
• You are a power user of Excel/G-Sheet skills are a must (Python or SQL knowledge is a plus.
• You’re not looking for a "desk job"—you’re looking for a platform where your ambition and curiosity are rewarded.

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 Data Analyst to play a critical role in metrics & dashboard development for the Stores vertical, as well as deploying testing scenarios to optimize our growth.
The Stores team at Bolt Food drives data-driven decision-making to improve performance and accelerate growth across our Delivery business. We work at the intersection of strategy, commercial execution, and analytics to scale a strong and sustainable grocery offering across our markets.

Join us in shaping the future of online grocery shopping across our markets 

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 Analyst, you will enable data-driven decision-making to support and grow Bolt Food’s Stores business. Reporting to the Head of Strategy & Operations, you will own key performance analyses, build and maintain dashboards, and partner closely with global and local stakeholders to drive measurable business impact.

You will work across pricing, promotions, assortment, partner performance, and customer behaviour, ensuring insights translate into clear actions that improve operational efficiency, value propositions, and long-term growth.

• Design and manage testing frameworks (e.g. A/B tests) providing structured insights and recommendations.
• Define & measure the most impactful KPIs driving the Stores' performance, ensuring data consistency and accuracy.
• Analyse Customer Value Proposition, customer behaviours, and advertising strategies to optimise Bolt Food’s grocery offering.
• Create and update daily, weekly, monthly, and quarterly reports and dashboards. Preparation of templates for global and local teams.
• Support local and global teams with data-related inquiries.
• Analyse data to identify problematic areas in data analysis and suggest improvements.
• Act as an owner of your analytical backlog, prioritising work for maximum business impact.
• Work closely with product and commercial teams to drive initiatives that attract new partners and grow existing ones.

• You have a Bachelor’s degree in Mathematics, Economics, Computer Science, Information Management, Statistics, or a related analytical field.
• You have 5+ years of experience in an analytical role working with large volumes of data, with experience in consulting, data analysis, business intelligence, or data-driven solutions. Experience in grocery retail is considered a plus.
• You have strong SQL and Excel skills, with experience in Python or R as a strong advantage.
• You are experienced with BI tools and data visualization (such as Tableau, Power BI, or Looker).
• You are experienced in automation, scaling tools, and scripting for data processing and workflow optimisation.
• You have excellent communication and stakeholder management skills, with experience working cross-functionally across teams.
• You are based in Warsaw or Tallinn, or are willing to relocate (we support relocation to Tallinn HQ only).

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 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 an experienced Growth Analytics Manager to lead and develop a team of analysts, driving strategic campaign decisions that directly shape marketplace performance across regions.

Bolt is one of the fastest-growing tech companies in Europe and Africa, with over 200+ million customers in 50+ countries. We’re a global team of more than 100 nationalities joined on a common mission – to make cities for people, not cars. And we need you to make it happen!

As a Growth Analytics Manager, you will lead a small team of Senior and Mid-level Growth Analysts while owning campaign spending strategy across your markets. You’ll drive marketplace success by combining hands-on analytics with strong leadership — ensuring smart, data-backed decisions that maximise ROI.

You will work closely with Expansion Managers, Marketing, Operations, and local teams to turn insights into action. This role requires sharp business sense, strong analytical thinking, and the ability to clearly communicate complex ideas.

Ready to lead, optimise, and make a visible impact at scale?

• Lead and mentor a team of Senior and Mid-level Growth Analysts, supporting their development and ensuring high-quality output.
• Own campaign spending strategy across assigned markets, optimising investments to maximise ROI and growth impact.
• Translate business goals into clear analytical priorities and actionable insights.
• Partner closely with Expansion, Marketing, Operations, and local teams to drive marketplace performance.
• Oversee experimentation roadmap (A/B tests and other analyses) and ensure rigorous interpretation of results.
• Identify scalable growth opportunities and contribute to improving team processes, playbooks, and decision-making frameworks.

• 5–6+ years in analytics or a related data field; experience leading team 1+ years
• Strong statistical foundations and proven experience with A/B testing & experiment design.
• Advanced SQL and good Python skills; experience with BI tools (Looker / Tableau / Power BI).
• Comfortable with large, messy datasets and building reliable reports/dashboards.
• Commercial mindset — you can explain the “so what” and trade technical nuance for actionable decisions.
• Excellent stakeholder skills — you can translate analytics into a narrative for non-technical leaders.
• Fluent English.

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 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 500+ cities across 45 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.
• Take care of your physical and mental health with our wellness perks.

*Some perks may differ depending on your location.

.

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.

Inbank is a financial technology company with an EU banking license that connects merchants, consumers, and financial institutions on its next-generation embedded finance platform. Our financing solutions are embedded seamlessly into the shopping journey of 6,000+ retailers. This helps our merchant partners grow their businesses, while end customers benefit from a frictionless shopping experience wherever they are. With a focus on innovation and growth, we are looking for talented people to join our team of 440+ working across our offices in Estonia, Latvia, Lithuania, Poland, and the Czech Republic.

Due to our growth ambitions, we are looking for a talented Credit Risk Underwriting Modeller to join our Riga office. In this hands-on role, you will help improve how we assess credit risk and ensure the profitability of our products by developing and refining statistical models used in credit decisioning.

You will work closely with credit risk specialists and technology teams, combining data, business understanding, and modeling techniques to build effective underwriting solutions. In this role, your work will have a direct impact on business performance. By improving credit decision models, you will contribute to better risk management and stronger profitability—playing a key role in shaping data-driven decisions across the organization.

What will you be doing?

• Develop, improve, and maintain statistical models used in credit underwriting.
• Own the end-to-end modeling process: from data collection and preparation to model development, validation, and monitoring.
• Analyze and combine internal and external data sources to enhance model performance.
• Continuously monitor models and optimize them for accuracy, risk management, and profitability.
• Collaborate with the technology team to improve automated credit decision systems (decision engine, data integrations, workflows).
• Work closely with credit risk underwriters and product managers to translate business needs into effective modeling solutions.
• Prepare analytical reports and ensure clear model documentation and transparency.
• Stay up to date with industry trends and best practices in credit risk modeling.

 Ideally, you would have:

• 3+ years of proven experience in a similar role (statistical, predictive, or data modeling); experience in fintech or banking is a plus.
• Solid understanding of statistical methods and machine learning techniques, with the ability to apply them in practice.
• Strong analytical mindset and confidence working with complex, real-world datasets.
• Strong SQL skills, with hands-on experience in data extraction and manipulation.
• Proficiency in Python, R, or similar tools.
• Ability to work independently while collaborating effectively with cross-functional teams.
• Clear communication skills in English, both written and spoken.

What you’ll get in return?

• The offered salary is within the range of €4,000–€5,000 gross per month, along with a comprehensive benefits package.
• Wellbeing support through sports compensation or additional health insurance to help you stay active and healthy.
• A 6-week paid sabbatical after four years, recognising strong performance and long-term contribution.
• A dynamic and inspiring work environment where you’re encouraged to grow and take ownership of your work.
• Flexibility through a hybrid and autonomous way of working, built on trust and accountability.
• The opportunity to collaborate with talented international colleagues across multiple markets.
• Regular team events and additional perks that make work more enjoyable and help celebrate successes together.

Sounds like a fit?

Apply, and our recruitment team will be in touch. If you’re unsure but curious, apply anyway - we’re happy to explore together.

Inbank is a financial technology company with an EU banking license that connects merchants, consumers, and financial institutions on its next-generation embedded finance platform. Our financing solutions are embedded seamlessly into the shopping journey of 6,000+ retailers. This helps our merchant partners grow their businesses, while end customers benefit from a frictionless shopping experience wherever they are. With a focus on innovation and growth, we are looking for talented people to join our team of 440+ working across our offices in Estonia, Latvia, Lithuania, Poland, and the Czech Republic.

Due to our growth ambitions, we are looking for a talented Credit Risk Underwriting Modeller to join our Tallin office. In this hands-on role, you will help improve how we assess credit risk and ensure the profitability of our products by developing and refining statistical models used in credit decisioning.

You will work closely with credit risk specialists and technology teams, combining data, business understanding, and modeling techniques to build effective underwriting solutions. In this role, your work will have a direct impact on business performance. By improving credit decision models, you will contribute to better risk management and stronger profitability—playing a key role in shaping data-driven decisions across the organization.

What will you be doing?

• Develop, improve, and maintain statistical models used in credit underwriting.
• Own the end-to-end modeling process: from data collection and preparation to model development, validation, and monitoring.
• Analyze and combine internal and external data sources to enhance model performance.
• Continuously monitor models and optimize them for accuracy, risk management, and profitability.
• Collaborate with the technology team to improve automated credit decision systems (decision engine, data integrations, workflows).
• Work closely with credit risk underwriters and product managers to translate business needs into effective modeling solutions.
• Prepare analytical reports and ensure clear model documentation and transparency.
• Stay up to date with industry trends and best practices in credit risk modeling.

 Ideally, you would have:

• 3+ years of proven experience in a similar role (statistical, predictive, or data modeling); experience in fintech or banking is a plus.
• Solid understanding of statistical methods and machine learning techniques, with the ability to apply them in practice.
• Strong analytical mindset and confidence working with complex, real-world datasets.
• Strong SQL skills, with hands-on experience in data extraction and manipulation.
• Proficiency in Python, R, or similar tools.
• Ability to work independently while collaborating effectively with cross-functional teams.
• Clear communication skills in English, both written and spoken.

What you’ll get in return?

• A competitive salary tailored to your experience, along with a comprehensive benefits package.
• Wellbeing support through sports compensation or additional health insurance to help you stay active and healthy.
• A 6-week paid sabbatical after four years, recognising strong performance and long-term contribution.
• A dynamic and inspiring work environment where you’re encouraged to grow and take ownership of your work.
• Flexibility through a hybrid and autonomous way of working, built on trust and accountability.
• The opportunity to collaborate with talented international colleagues across multiple markets.
• Regular team events and additional perks that make work more enjoyable and help celebrate successes together.

Sounds like a fit?

Apply, and our recruitment team will be in touch. If you’re unsure but curious, apply anyway - we’re happy to explore together.

Inbank is a financial technology company with an EU banking license that connects merchants, consumers, and financial institutions on its next-generation embedded finance platform. Our financing solutions are embedded seamlessly into the shopping journey of 6,000+ retailers. This helps our merchant partners grow their businesses, while end customers benefit from a frictionless shopping experience wherever they are. With a focus on innovation and growth, we are looking for talented people to join our team of 440+ working across our offices in Estonia, Latvia, Lithuania, Poland, and the Czech Republic.

Due to our growth ambitions, we are looking for a talented Credit Risk Underwriting Modeller to join our Gdańsk office. In this hands-on role, you will help improve how we assess credit risk and ensure the profitability of our products by developing and refining statistical models used in credit decisioning.

You will work closely with credit risk specialists and technology teams, combining data, business understanding, and modeling techniques to build effective underwriting solutions. In this role, your work will have a direct impact on business performance. By improving credit decision models, you will contribute to better risk management and stronger profitability—playing a key role in shaping data-driven decisions across the organization.

What will you be doing?

• Develop, improve, and maintain statistical models used in credit underwriting
• Own the end-to-end modeling process: from data collection and preparation to model development, validation, and monitoring
• Analyze and combine internal and external data sources to enhance model performance
• Continuously monitor models and optimize them for accuracy, risk management, and profitability
• Collaborate with the technology team to improve automated credit decision systems (decision engine, data integrations, workflows)
• Work closely with credit risk underwriters and product managers to translate business needs into effective modeling solutions
• Prepare analytical reports and ensure clear model documentation and transparency
• Stay up to date with industry trends and best practices in credit risk modeling

 Ideally, you would have:

• 3+ years of proven experience in a similar role (statistical, predictive, or data modeling); experience in fintech or banking is a plus
• Solid understanding of statistical methods and machine learning techniques, with the ability to apply them in practice
• Strong analytical mindset and confidence working with complex, real-world datasets
• Strong SQL skills, with hands-on experience in data extraction and manipulation
• Proficiency in Python, R, or similar tools
• Ability to work independently while collaborating effectively with cross-functional teams
• Clear communication skills in English, both written and spoken

What you’ll get in return?

• A competitive salary tailored to your experience, along with a comprehensive benefits package.
• Wellbeing support through sports compensation or additional health insurance to help you stay active and healthy.
• A 6-week paid sabbatical after four years, recognising strong performance and long-term contribution.
• A dynamic and inspiring work environment where you’re encouraged to grow and take ownership of your work.
• Flexibility through a hybrid and autonomous way of working, built on trust and accountability.
• The opportunity to collaborate with talented international colleagues across multiple markets.
• Regular team events and additional perks that make work more enjoyable and help celebrate successes together.

Sounds like a fit?

Apply, and our recruitment team will be in touch. If you’re unsure but curious, apply anyway - we’re happy to explore together.

Inbank is a financial technology company with an EU banking license that connects merchants, consumers, and financial institutions on its next-generation embedded finance platform. Our financing solutions are embedded seamlessly into the shopping journey of 6,000+ retailers. This helps our merchant partners grow their businesses, while end customers benefit from a frictionless shopping experience wherever they are. With a focus on innovation and growth, we are looking for talented people to join our team of 440+ working across our offices in Estonia, Latvia, Lithuania, Poland, and the Czech Republic.

As we continue to expand our business, we are looking for an enthusiastic Credit Risk Underwriter to join our Tallinn office. 

As a Credit Risk Underwriter, you’ll play a key role in shaping how we make retail credit decisions across our markets. Your work will directly influence product performance and profitability, combining analytical thinking with real business impact. This is a hands-on role where you’ll collaborate closely with different teams to continuously improve how we assess and manage credit risk.

What you’ll be doing? 

• Developing and improving credit decision-making processes, including statistical analyses and probability estimations, while shaping credit decision criteria.
• Building and maintaining analytical views, dashboards, and reports to support decision-making.
• Helping ensure product profitability through sound underwriting and pricing approaches.
• Monitoring credit risk performance across partners and customer segments, and spotting trends early.
• Working closely with our technology team to enhance our automated credit evaluation systems (decision engine, data integrations, etc).
• Contributing a credit risk perspective to cross-functional projects, while sharing insights and recommendations with country and product teams.
• Keeping up with developments in credit risk management and bringing new ideas into practice.

Ideally, you’d have: 

• Around 1–2 years of experience in a similar analytical role; experience in fintech or banking is a plus.
• A strong analytical mindset and a structured way of thinking through problems.
• Confidence working with Excel and familiarity with tools like SQL, R, Python, or similar.
• Some hands-on experience with building or working with statistical models.
• The ability to take initiative, work independently, and think critically.
• A collaborative mindset and a genuine interest in working with different teams.
• Strong communication skills in written and spoken English & Estonian.

If this role excites you, but you don’t meet every single requirement, we still encourage you to apply. We value diverse backgrounds and perspectives and believe that great people grow into great roles.

What you’ll get in return?

• A competitive salary tailored to your experience, along with a comprehensive benefits package.
• Wellbeing support through sports compensation or additional health insurance to help you stay active and healthy.
• Extra vacation days after your third year, giving you more time to rest and recharge.
• A 6-week paid sabbatical after four years, recognising strong performance and long-term contribution.
• A dynamic and inspiring work environment where you’re encouraged to grow and take ownership of your work.
• Flexibility through a hybrid and autonomous way of working, built on trust and accountability.
• The opportunity to collaborate with talented international colleagues across multiple markets.
• Regular team events and additional perks that make work more enjoyable and help celebrate successes together. 

Sounds like a fit?

Apply, and our recruitment team will be in touch. If you’re unsure but curious, apply anyway - we’re happy to explore together.

Our SRE teams are dealing with a range of different challenges, from managing our services that keep Bolt backend services running to optimizing our cloud infrastructure.

The SRE Database Reliability team plays a foundational role across all Bolt’s business verticals, directly impacting the quality, resilience, and performance of all services and product lines at scale. Working with a cutting-edge distributed database stack, the team operates in a high-load, high–data-volume environment where each member can make a significant, company-wide impact.

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 Site Reliabiity Engineer at Bolt you will lead the design, implementation, and maintenance of highly reliable and scalable systems infrastructure, collaborating with cross-functional teams to ensure system reliability, performance optimization, and continuous improvement.

• Leading the design, implementation, automation and maintenance of highly reliable and scalable Database Systems infrastructure. Planning for future database growth and scalability, ensuring the architecture supports business needs.
• Participating in on-call activities for the most critical parts of the infrastructure, helping to solve incidents in a no-blaming culture.
• Performing Root Cause Analysis (RCA) and leading incident response by compiling thorough postmortems and implementing preventive measures. Identifying performance bottlenecks and inefficiencies in the system and implementing solutions to optimize database configurations and performance, including SQL queries and indexes optimization.
• Ensuring all core services are properly measured, monitored, and covered by alerting systems.
• Work closely with engineering teams to design efficient schemas, perform query reviews, and provide guidance on database best practices.
• Enforcing security best practices, managing access controls, and ensuring compliance with data governance policies and industry standards.

• You have proven track record in systems engineering.
• Solid experience with Relational Database Management Systems (e.g. MySQL). Knowledge of NewSQL and NoSQL Databases is beneficial.
• Strong Linux troubleshooting expertise (including networking, file systems, security and the kernel), as well as a solid understanding of large-scale distributed systems.
• Proficient coding skills (preferably Python, Go, Rust or Bash), along with experience in cloud platforms (e.g., AWS) and infrastructure automation tools such as Terraform and Ansible. 
• Good understanding of DevOps practices and Agile (e.g., Scrum) way of working.
• You are a team player with a high level of empathy and good communication skills, who works well with others in the group and the rest of organization.

Experience is great, but we really 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!

• 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’re looking for a seasoned Data Scientist to architect the next generation of our campaign optimization systems. You will design and scale the logic that determines which users to target and which incentives to deploy to maximize investment efficiency. If you’re excited to apply Machine Learning and Causal Inference to drive global impact, join us!

 

 
 
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’ll own Bolt’s campaign optimization systems end-to-end, architecting the "brain" that determines how we allocate rider and driver incentives globally. As a Senior Data Scientist, you will be the driving force in elevating our technical standards, pioneering solutions that bridge the gap between academic research and product development. You will serve as a technical "North Star"—mentoring colleagues and setting the bar for rigorous, maintainable data products that directly shape the experience of over 200 million customers worldwide.
 

 
 
  

• Lead the technical vision for our campaign optimization roadmap, translating high-level objectives into data science products.
• Architect and deploy end-to-end uplift models and optimization systems that maximize our investment efficiency.
• Design and execute advanced experimentation frameworks to reliably measure campaign incrementality.
• Set the gold standard for technical excellence by championing rigorous statistical and engineering practices.
• Serve as a mentor and advisor on highly technical challenges.
• Partner with Product, Engineering, and Operations to identify opportunities and develop pragmatic solutions that solve intricate business problems.

 
 

• Pragmatic problem solver, able to work autonomously from research to production deployment.
• 5+ years of experience in applied ML; experience in a growth role (marketplace pricing or incentives) is a plus.
• Exceptional knowledge of ML, statistics with hands-on experience in causal inference/ML.
• Expert proficiency in Python and SQL.
• A natural mentor who enjoys leveling up those around you and can explain the "why" behind complex mathematical concepts.
   

 
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.

We are looking for a technically strong and motivated Compliance Data Analyst to join our Compliance team in the Legal & Compliance department. This role is suited to someone who enjoys bridging the gap between business needs and practical, data and automation-forward solutions, building scalable reporting and improving compliance work on a systems level across our organisation.

The ideal candidate is highly analytical, looks at processes end-to-end from data pipelines to workflow automation, and is able to translate stakeholder needs into robust technical solutions.

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 Compliance Data Analyst, you will play a business-critical role in managing the data and infrastructure around Bolt’s risk and compliance processes.. You will be responsible for the health of our GRC (Governance, Risk, and Compliance) system, the quality of our reporting, and the automation of manual tasks that allow our Legal & Compliance teams to scale globally.

• Drive the evolution of our GRC platform through configuration and automation.
• Design and deploy automated workflows using platforms like n8n or Zapier to reduce manual data entry and increase team efficiency.
• Develop complex Looker dashboards that provide actionable insights to internal stakeholders and external regulators.
• Deep dive into complex data sets to identify quality issues, root causes, and emerging risks.
• Lead the delivery of technical projects, ensuring smooth rollouts through rigorous change management and clear stakeholder communication.
• Partner with sub-teams across Bolt to identify process optimisations and propose scalable technical improvements.
• Once on-boarded, you will be building and maintaining robust DBT models and Databricks notebooks to support data-driven decision-making.

• You have at least 2+ years of experience in an analytical or systems-focused role.
• You possess solid SQL skills (no need to be a data modelling wizard, but being able to read complex queries is a must, as well as being open to developing your skills further).
• You are experienced with BI tools and data visualisation (e.g., Looker, Tableau).
• You have a demonstrated ability to build automations using n8n and/or Zapier
• You understand risk management and compliance processes and are excited to apply technology to these domains.
• You have strong project management skills, and you understand the importance of change management and stakeholder involvement.
• You can simplify complex technical concepts for non-technical audiences and have excellent communication skills.
• You are fluent in English, both verbally and in writing.
• You get extra points if you have experience in data modelling with DBT/Databricks/Airflow, and experience with automation using Python.

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 in-office days per month.

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

We're looking for a Senior Analytics Engineer to own and scale Bolt's Competitive Intelligence data domain at Rides, Finance. From third-party vendor ingestion to production-grade data models, you'll build the foundation that powers trusted dashboards, high-impact strategic analyses, and data-driven decisions across the business.

Are you ready to make a global impact? Join us!

Bolt is one of the fastest-growing tech companies in Europe and Africa, with over 200 million customers in 50+ countries. We’re a global team of more than 100 nationalities joined on a common mission – to make cities for people, not cars. And we need you to make it happen!

As a Senior Analytics Engineer in the Competitive Intelligence domain, you'll own the end-to-end data architecture behind Bolt's competition-related metrics and insights. That means building and maintaining a scalable, reliable, and well-governed data foundation: from ingesting third-party vendor data to delivering curated, analytics-ready data marts used by teams across the organisation.

This role sits at the intersection of data engineering and analytics, with a strong emphasis on technical ownership. You'll design robust pipelines, codify consistent business logic, and ensure competition data is production-grade, trustworthy, and built to last. Equally important is developing a deep understanding of how this data gets used: the strategic analyses it enables and the business decisions it informs, so that the models and metrics you build are accurate, meaningful, and grounded in real-world context.

You'll work closely with analysts and business stakeholders to make sure the data foundation reflects genuine strategic needs. The role is engineering-focused at its core, but its impact depends on strong partnership with the teams who rely on these insights every day.

• Design and maintain the end-to-end data model (raw → staging → intermediate → marts) using dbt, ensuring clear documentation, lineage, and maintainability across all data assets.
• Develop reusable data products: datasets, models, and metric layers, that power dashboards, analyses, and automated systems across Bolt.
• Design and manage ingestion pipelines for third-party competitive intelligence vendors (APIs, SFTP, batch files), including schema management, validation, and change handling.
• Implement data quality checks, monitoring, and alerting to ensure pipelines are reliable, secure, and aligned with Bolt's data platform standards.
• Define, standardise, and maintain competition-related KPIs and metric logic to ensure consistent interpretation across analytics and business teams.
• Optimise warehouse performance and cost efficiency for competition-related workloads, and enable teams through clear metric definitions and documentation.

• Hands-on experience with dbt (or Dataform) in production environments, including orchestration tools such as Airflow.
• Advanced SQL skills with a strong track record of building production-grade transformation layers.
• Experience integrating third-party data sources via APIs or batch ingestion pipelines.
• Proficiency with modern analytical data platforms such as Databricks, BigQuery, or Snowflake, including data modelling, performance optimisation, and cost management.
• Experience designing dimensional data models (fact tables, SCDs, data marts) and strong Python skills for pipeline development and automation.
• Experience implementing data quality testing, monitoring, and governance practices, with comfort in Git-based workflows and CI/CD.

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 an experienced Product Analytics Manager to join our Tools & Workflow domain within the Platform group and help us scale and improve our customer support and internal tooling products across 50+ countries.

Bolt is one of the fastest-growing tech companies in Europe and Africa, with over 200 million customers in 50+ countries. We’re a global team of more than 100 nationalities joined on a common mission – to make cities for people, not cars. And we need you to make it happen!

Platform team operates across all Bolt verticals supporting business growth and success. The team tackles problems including geospatial (routing, ETAs etc), user identity and verification, user communications, internal tools, automation and customer support.

As a Product Analytics Manager, you will lead the analytics function for our Tools & Workflow domain within the Platform group. Your teams own the complete support experience for Bolt users and build tools and technology for efficient workforce management. You will act as a cross-functional partner driving strategic decisions, while also enabling and growing a team of product analysts. You will be at the forefront of evaluating how Automation and Artificial Intelligence can bring value to the support experience and lead discovery to find product opportunities with an optimum balance between cost-effectiveness and quality support.

Do you consider yourself both a hands-on product builder and a systematic team enabler? If yes, join us as Product Analytics Manager and help shape the future of customer support at scale!

• Build and lead a high-performing team of product analysts, raising the bar on quality, collaboration, and technical excellence.
• Own the analytics vision for the Tools & Workflow domain, partnering with Product, Engineering, Data Science, and Operations to shape strategy, influence prioritisation and surface the right opportunities.
• Audit analytical needs, align with product and business stakeholders on key definitions, and oversee the creation of accurate and scalable data products that drive smarter decisions.
• Define metrics that matter and set the gold standard for A/B testing, driving faster and better product decisions.
• Spearhead the development of analytical solutions, from self-service data products to automation impact measurement and conversational analytics.
• Own end-to-end analytical projects within the CS domain, from design to delivery, while enabling the team through best practices, training and adoption of new tools and methodologies.

• You have a proven track record in data analytics within product companies, including managerial experience leading high-performing teams.
• You hold a university degree in Economics, Data Science, Statistics, Computer Science, Mathematics, Information Management, or a related field.
• You rank your SQL skills as "outstanding" and Python/R skills as "profound", and you embrace AI-native workflows with a forward-looking mindset, always eager to adopt and grow new technical skills as the data landscape evolves.
• You have strong knowledge of BI tools, data visualisation, and a solid understanding of data architecture, with the ability to oversee the design of scalable and reliable data models.
• You have strong business acumen, an entrepreneurial mindset, and outstanding communication and leadership skills, with the ability to decompose complex solutions into a clear narrative.
• You have a solid understanding of end-to-end A/B testing and experience with advanced experimentation such as time-based tests or other causal inference methods.

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 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.
• Take care of your physical and mental health with our wellness perks.

*Some perks may differ depending on your location.

We are looking for an experienced Product Analytics Manager to join our Tools & Workflow domain within the Platform group and help us scale and improve our customer support and internal tooling products across 50+ countries.

Bolt is one of the fastest-growing tech companies in Europe and Africa, with over 200 million customers in 50+ countries. We’re a global team of more than 100 nationalities joined on a common mission – to make cities for people, not cars. And we need you to make it happen!

Platform team operates across all Bolt verticals supporting business growth and success. The team tackles problems including geospatial (routing, ETAs etc), user identity and verification, user communications, internal tools, automation and customer support.

As a Product Analytics Manager, you will lead the analytics function for our Tools & Workflow domain within the Platform group. Your teams own the complete support experience for Bolt users and build tools and technology for efficient workforce management. You will act as a cross-functional partner driving strategic decisions, while also enabling and growing a team of product analysts. You will be at the forefront of evaluating how Automation and Artificial Intelligence can bring value to the support experience and lead discovery to find product opportunities with an optimum balance between cost-effectiveness and quality support.

Do you consider yourself both a hands-on product builder and a systematic team enabler? If yes, join us as Product Analytics Manager and help shape the future of customer support at scale!

• Build and lead a high-performing team of product analysts, raising the bar on quality, collaboration, and technical excellence.
• Own the analytics vision for the Tools & Workflow domain, partnering with Product, Engineering, Data Science, and Operations to shape strategy, influence prioritisation and surface the right opportunities.
• Audit analytical needs, align with product and business stakeholders on key definitions, and oversee the creation of accurate and scalable data products that drive smarter decisions.
• Define metrics that matter and set the gold standard for A/B testing, driving faster and better product decisions.
• Spearhead the development of analytical solutions, from self-service data products to automation impact measurement and conversational analytics.
• Own end-to-end analytical projects within the CS domain, from design to delivery, while enabling the team through best practices, training and adoption of new tools and methodologies.

• You have a proven track record in data analytics within product companies, including managerial experience leading high-performing teams.
• You hold a university degree in Economics, Data Science, Statistics, Computer Science, Mathematics, Information Management, or a related field.
• You rank your SQL skills as "outstanding" and Python/R skills as "profound", and you embrace AI-native workflows with a forward-looking mindset, always eager to adopt and grow new technical skills as the data landscape evolves.
• You have strong knowledge of BI tools, data visualisation, and a solid understanding of data architecture, with the ability to oversee the design of scalable and reliable data models.
• You have strong business acumen, an entrepreneurial mindset, and outstanding communication and leadership skills, with the ability to decompose complex solutions into a clear narrative.
• You have a solid understanding of end-to-end A/B testing and experience with advanced experimentation such as time-based tests or other causal inference methods.

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 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.
• Take care of your physical and mental health with our wellness perks.

*Some perks may differ depending on your location.

We are looking to hire a People Data Analyst to join our People Analytics team.

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, national origin, age, or disability.

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

The People Data Analyst plays a key role in enabling smart, data-driven decisions across Bolt by combining people data, analytical modelling, and business insight to deliver actionable recommendations.
This role offers the opportunity to work at the intersection of people operations, data science, and business strategy — ideal for someone passionate about turning data into meaningful stories that shape the employee experience.
You will be part of a small but highly skilled People Analytics team, collaborating closely with the People & Workplace function, business leaders, and central Data teams to build scalable analytics, dashboards, and insights that guide decisions across the entire employee lifecycle.

• Deliver analytical support across areas such as hiring, engagement, retention, and internal mobility.
• Translate complex data into practical recommendations tailored to diverse audiences.
• Design and maintain Looker dashboards and reports to support self-service analytics.
• Contribute to the development and testing of dbt data models and metric definitions.
• Identify data quality issues, propose remedies, and strengthen trust in people data.
• Provide deep-dive analyses and insights that inform strategic and operational decisions.

• You have experience in people analytics, business intelligence, or data analysis.
• You bring strong analytical skills and proficiency in tools such as SQL, Looker, or Python.
• You understand key HR metrics and enjoy solving problems related to workforce insights.
• You’re proactive, detail-oriented, and passionate about using data to improve the employee experience.
• You communicate complex data clearly and enjoy partnering with cross-functional teams.
• You’re collaborative, adaptable to change, and motivated by continuous learning and improvement.

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 if you feel you’re the kind of person described above!

• 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.

Hello from Inbank! If you’ve ever bought something in three instalments or financed your gadget purchase online or in a shop, there’s a good chance you’ve used something we built.

We’re not here to be another bank. At Inbank, we’re a modular finance platform that helps businesses grow and customers pay with ease. We believe banking should feel invisible, an effortless layer that powers every great digital experience. Today, our financing rails are woven into the flow of 6,000+ leading retailers, giving around half a million customers a one-tap way to pay while turbo-charging merchants’ growth.

There are already 440+ of us across Estonia, Latvia, Lithuania, Poland, and Czechia, and we’re continuing to grow as we help thousands of retailers expand their business and reach millions of shoppers.

We’re looking for a Senior Data Platform Engineer to join our Data Warehouse team and help shape and scale our cloud data platform. This is a hands-on senior individual contributor role for someone who can design, build, and operate reliable data pipelines — and, most importantly, bring strong senior-level dbt expertise to the team.

What you’ll be doing?

• Owning and evolving core data platform capabilities such as CI/CD, environment management, observability, and access control to ensure the platform is scalable, reliable, and easy to build on.
• Building and owning data pipelines and transformations on our Snowflake-based data platform.
• Leading the design and implementation of dbt-based ELT, including scalable modelling, testing, and documentation.
• Developing orchestration, ingestion, and automation solutions using Airflow and Python.
• Improving developer experience and raising engineering standards across testing, deployment, maintainability, and platform operations.
• Partnering with analytics and business stakeholders to translate requirements into reliable, secure, production-grade datasets.

What we’re really looking for?

This role is for a Senior Engineer with strong hands-on experience in dbt. We’re looking for someone who has worked with dbt in production and is excited to help evolve and scale best practices across the team.

Ideally, you’d have:

• Solid experience building and operating modern data platforms on AWS using Snowflake, dbt, Airflow, and Python.
• Senior-level mastery of dbt: designing modular models, enforcing testing standards, structuring projects for scale, improving documentation, and making sound architectural decisions.
• Deep understanding of data modelling, ELT design, warehouse performance optimisation, and production-grade data engineering.
• Proven experience owning production data pipelines and making pragmatic technical trade-offs.
• A quality-focused mindset: you care about reliable, well-tested, well-documented, and trusted data.
• A security-focused mindset: you design and operate data platforms with attention to access control, data protection, change management, and the needs of a regulated environment.

If you’re excited about this role but don’t meet every requirement, we still encourage you to apply — we value diverse experiences and perspectives and believe great people grow into great roles.

What you’ll get in return?

• A competitive salary tailored to your experience, along with a comprehensive benefits package.
• Wellbeing support through sports compensation or additional health insurance to help you stay active and healthy.
• Extra vacation days after your third year, giving you more time to rest and recharge.
• A 6-week paid sabbatical after four years, recognising strong performance and long-term contribution.
• A dynamic and inspiring work environment where you’re encouraged to grow and take ownership of your work.
• Flexibility through a hybrid and autonomous way of working, built on trust and accountability.
• The opportunity to collaborate with talented international colleagues across multiple markets.
• Regular team events and additional perks that make work more enjoyable and help celebrate successes together. 

Sounds like a fit?

Apply, and our recruitment team will be in touch. If you’re unsure but curious, apply anyway, we’d be happy to explore the fit with you.

 
We’re looking for a hands-on Principal Program Manager (AI Project Charter) to drive impact within Rides Central Operations. You’ll solve complex operational problems by designing scalable AI solutions that deliver measurable results across markets.

 
 
  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’ll personally design and implement AI tools, agents, dashboards, and decision systems, working cross-functionally while maintaining strong individual ownership. You’ll also help define how AI initiatives are prioritised and governed across Rides.

This is an individual contributor (IC) role with high ownership and no direct reports. It’s built for someone eager to build, own, and deliver real change.

 

• Build and deploy AI tools, agents, dashboards, and decision systems for Rides Operations, covering areas such as diagnostics, optimisation, forecasting, policy enforcement, and reporting automation, moving from prototype to production-ready solutions.
• Translate operational complexity into scalable AI solutions with measurable impact, identifying high-friction problems across markets and defining use cases that improve cost, efficiency, reliability, and growth.
• Deliver independently, minimising dependencies while partnering where scale or integration is required, using internal data, APIs, large language models (LLMs), and automation frameworks to ship usable tools even with limited Engineering, Data, or Product bandwidth.
• Create clear decision materials for leadership, highlighting trade-offs, risks, and impact, running structured AI reviews, and aligning priorities with operational and financial outcomes.
• Develop scaling playbooks and drive adoption across regions, guiding pilots through rollout to steady state, tracking performance, and iterating based on usage and feedback.
• Establish principles and governance for responsible AI use in Operations, defining guardrails to ensure solutions are explainable, locally compliant, and aligned with long-term platform standards.

• You have demonstrated hands-on experience building and deploying applied AI solutions, including AI agents and use-case-specific model fine-tuning.
• You have practical experience with enterprise AI ecosystems (e.g. Google Cloud, Gemini) and hands-on usage of tools such as GPT or Claude, including API and workflow integrations.
• You have strong programme delivery capabilities, translating business needs into prioritised execution plans and driving transformation initiatives end to end.
• You can manage senior stakeholders effectively, aligning technical implementation with business objectives.
• You have experience operating within scaled organisations where AI solutions are already live and integrated into core processes.
• You have 8–12 years of combined technical and business working experience. A broader machine learning background, Python and SQL proficiency, and vendor management experience are considered an advantage.

 
 
  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.

We are looking for a Senior Data Analyst to play a critical role in metrics & dashboard development for the Stores vertical, as well as deploying testing scenarios to optimize our growth.
The Stores team at Bolt Food drives data-driven decision-making to improve performance and accelerate growth across our Delivery business. We work at the intersection of strategy, commercial execution, and analytics to scale a strong and sustainable grocery offering across our markets.

Join us in shaping the future of online grocery shopping across our markets 

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 Analyst, you will enable data-driven decision-making to support and grow Bolt Food’s Stores business. Reporting to the Head of Strategy & Operations, you will own key performance analyses, build and maintain dashboards, and partner closely with global and local stakeholders to drive measurable business impact.

You will work across pricing, promotions, assortment, partner performance, and customer behaviour, ensuring insights translate into clear actions that improve operational efficiency, value propositions, and long-term growth.

• Design and manage testing frameworks (e.g. A/B tests) providing structured insights and recommendations.
• Define & measure the most impactful KPIs driving the Stores' performance, ensuring data consistency and accuracy.
• Analyse Customer Value Proposition, customer behaviours, and advertising strategies to optimise Bolt Food’s grocery offering.
• Create and update daily, weekly, monthly, and quarterly reports and dashboards. Preparation of templates for global and local teams.
• Support local and global teams with data-related inquiries.
• Analyse data to identify problematic areas in data analysis and suggest improvements.
• Act as an owner of your analytical backlog, prioritising work for maximum business impact.
• Work closely with product and commercial teams to drive initiatives that attract new partners and grow existing ones.

• You have a Bachelor’s degree in Mathematics, Economics, Computer Science, Information Management, Statistics, or a related analytical field.
• You have 5+ years of experience in an analytical role working with large volumes of data, with experience in consulting, data analysis, business intelligence, or data-driven solutions. Experience in grocery retail is considered a plus.
• You have strong SQL and Excel skills, with experience in Python or R as a strong advantage.
• You are experienced with BI tools and data visualization (such as Tableau, Power BI, or Looker).
• You are experienced in automation, scaling tools, and scripting for data processing and workflow optimisation.
• You have excellent communication and stakeholder management skills, with experience working cross-functionally across teams.
• You are based in Warsaw or Tallinn, or are willing to relocate (we support relocation to Tallinn HQ only).

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 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.

 
Product Security Analyst supports our product security goals by investigating security issues, assessing their business impact, and strengthening security controls across the product ecosystem. The role focuses on generating actionable security intelligence, improving detection and logging quality, supporting incident response, and collaborating closely with product teams to enhance overall security posture and protect end-users.

 
 
    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!
 

 
 
The analyst will contribute to enhancing the security posture of our product platform by analysing user events to produce security metrics on the impact and extent of the abuse of security gaps. The role involves investigating known misuse cases and using data analysis methods to quantify their scale and impact. In addition, the analyst will support the rest of the product security team during incident mitigation and investigation, as well as subsequent analysis to improve visibility and support security automation efforts. 

 
 

• Investigate reported security issues and analyse their scale, severity, and impact on end-users.
• Analyse user event data to identify abuse patterns and produce security metrics.
• Support security incident investigations and mitigation activities across the product ecosystem.
• Contribute to detection engineering by automating recurring investigation patterns into repeatable workflows.
• Identify data quality gaps and improve security logging and visibility.
• Assess the business impact of security issues and communicate findings to product teams and key stakeholders.

 
 

• Proven track record in cybersecurity or a data-intensive analytical role. You're not expected to follow a playbook; you're expected to help us write it.
• You are comfortable moving beyond standard security dashboards. You can query DB tables, navigate Databricks, and leverage Python (NumPy/Pandas) or SQL to uncover patterns that others miss.
• Strong ability to assess complex threats, identify root causes, and highlight the most valuable security improvements across the domain.
• You can write Jupyter notebooks and scripts to transform raw logs into actionable security insights and automated workflows.
• You bring practical experience in log analysis and mitigation strategies. Bonus points for experience in a fast-paced SOC or IR team.
• A degree in Cybersecurity, Computer Science, or Mathematics will help you stand out.

 
    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.
• 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.

We are looking for an experienced Senior Data Analyst to join our Product Analytics team and help us scale and improve our products across 50+ countries.

Bolt is one of the fastest-growing tech companies in Europe and Africa, with over 200 million customers in 50+ countries. We’re a global team of more than 100 nationalities joined on a common mission – to make cities for people, not cars. And we need you to make it happen!

Our whole platform lives and breathes on data, and in order to succeed we are a highly data-driven company. Every step of our product development is accompanied by Data Analysts who identify opportunities, estimate the impact, collaborate on delivery and measure the effect.

Every Product Analyst at Bolt is embedded into a particular product team. We have three product verticals that build our core products – Ride-Hailing, Delivery (Bolt Food and Bolt Market) and Rentals (e-bikes, scooters, and carsharing), as well as two horizontals - Platform and Incentives. Platform team develops our own geo, user identity, automation and customer support products. Incentives team supports every customer-facing product with strategy and methodology on optimisation, long-term forecasts and large-scale A/B testing

We have many open roles in Bolt’s growing Product Analytics team. Once you apply, you will go through a universal process that will allow you to learn more about the Product Analytics function and help us find the best product team that matches your skills and aspirations!

We believe that every decision can and should be accompanied by data - if you feel the same way, you’ll fit right in! Scroll down to find out what daily adventures you can face as a Product Analyst at Bolt!

• Interpret data, analyse results using statistical techniques and provide reports to make business recommendations (e.g. cost-benefit, forecasting, impact analysis)
• Proactively work together with other stakeholders to communicate data-based insights
• Identify, analyse, and interpret trends or patterns in complex data sets
• Work with Product Managers to prioritise business and information needs

• You hold BS in Mathematics, Economics, Computer Science, Information Management or Statistics
• You have at least 2-4 years experience dealing with large volumes of data
• You can rank your SQL skills as “outstanding” and Python/R experience as “profound”
• You have experience with some BI tools and data visualisation
• You can prove your ability to lead experimentation: applied statistics, designing and analysing experiments, providing recommendations
• Your verbal and written communication skills are outstanding and you are fluent in English

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 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.
• Take care of your physical and mental health with our wellness perks.

*Some perks may differ depending on your location.

 
We are looking for an ambitious Data Scientist to join our Fraud and Payments team and help us convert every order across all of our business lines by detecting potential fraudulent behaviour and optimizing the payment lifecycle.
 

 
 
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’ll be working in the Fraud and Payments team, which is responsible for processing 1% of all card transactions in Europe. This team is a cross functional team consisting of product managers, data analysts, software engineers and data scientists. Our engines inspect every order across all of our business lines to detect potential fraudulent behaviour and optimize the payment lifecycle - preventing financial losses due to fraud, optimizing payment costs and helping our users to successfully complete their payments. 
 

 

• Working with a technical stack consisting of Python, Docker, SageMaker, Airflow and Databricks
• Building and improving fraud prediction models using different predictive approaches
• Exploring techniques that can improve the way we manage payments, including Causal and Reinforcement Learning
• Handling the entire lifecycle from project conceptualization and notebook prototyping to productizing and maintaining a machine learning based solution or other automation that might be serving hundreds of millions of users in production
• Leveraging our in-house data and model platform that allows you to launch new projects in a matter of days
• Deploying and A/B testing solutions for millions of users, enabling fast feedback and measurable added value to customers

 

• Exceptional knowledge of machine learning algorithms, statistical inference, and autonomous decision-making systems
• Enthusiasm to collaborate with different roles in product, analytics and engineering to identify problems, explore trends and untap growth opportunities
• Passion for continuous learning and a collaborative mindset, valuing open technical discussions and peer-to-peer knowledge sharing
• Mastery in Python and SQL
• Previous experience in fraud detection, payment optimization or related financial services is a plus
• Strong academic background in a quantitative field

 
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.

We are looking for an experienced Growth Analyst to be a central part of the operational side of the Growth team, specifically within our Delivery & Rides vertical, as we embark on an amazing journey to take Bolt to new heights!

Bolt is one of the fastest-growing tech companies in Europe and Africa, with over 100 million customers in 45+ countries. We’re a global team of more than 100 nationalities joined on a common mission – to make cities for people, not cars. And we need you to make it happen!

As a Growth Analyst, You will be taking the ownership of our campaigns spending decision and contributing to the marketplace's success by meticulously analyzing the return on investment (ROI). With your expertise, we'll be able to accurately determine the most strategic allocation of resources, including the exact location, timing, method, and amount spent on campaigns.

You will be working closely with other team members of Growth domain, as well as Expansion Managers, Marketing and Operation teams. A  Data Analyst will need to have good attention to detail and communication skills to succeed. Solid business sense and analytical mindset? You might be the campaign magician we’ve been waiting for.

This is a Tallinn-based role. We will only be able to sponsor relocation for candidates who are already residing within Europe.

• Own campaign spending decisions for your assigned markets and optimising such decisions to help the country team reach their growth targets
• Wrangle complex data-sets to come up with testing hypotheses, setting up A/B tests (and other experiments) and analysing results using statistical techniques in order to guide your decision making
• Proactively working together with Expansion Managers, Marketing, Operations and local teams to drive collaboration and get the most out of our investments
• Identify valuable opportunities in the team and contribute to global campaigns team playbook, processes and product requests

• BS in Mathematics, Economics, Computer Science, Information Management or Statistics
• At least 3 years experience in an analytical role dealing with large volumes of data, Experience in consulting, pricing/discount strategy and/or on-demand is a plus
• Solid grasp of statistics and demonstrated experience with A/B testing
• Amazing SQL and Excel skills. Experience with Python or R is a plus
• Experience with some BI tools and data visualization like Tableau, Power BI or Looker
• Fluent in English<

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 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 500+ cities across 45 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.
• Take care of your physical and mental health with our wellness perks.

*Some perks may differ depending on your location.

We are looking for a Growth Strategy Analyst to join our dynamic Growth Strategy & Go-to-Market team and play a pivotal role in fueling Bolt's rocket growth

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, color, religion, gender identity, sexual orientation, national origin, 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 Strategy Analyst, you will serve as a vital bridge between Growth Analysts, the Product Incentives team, and cross-functional stakeholders, balancing standardization with leveraging local opportunities. Your responsibilities will involve synthesizing insights to inform global playbook development while remaining adaptable to local market needs.

• Establish strong collaboration between Growth Analytics, Product Incentives, and Country teams to proactively identify opportunities for enhancing global campaign playbooks, processes, tooling.
• Conduct research, audits, and analysis, uncovering insights on customer lifetime value, user experience, and operational efficiency, and sharing these insights with relevant stakeholders.
• Collaborate with the Product team to build joint roadmaps, research business opportunities, ideate on solution design, estimate effort, and prioritize backlog based on impact.
• Own global experimentation roadmap, and consolidate learnings into playbooks to optimize the impact of day-to-day Growth Analytics operations.
• Own the rollout roadmap of new segmentation, features, reporting, and tooling across relevant markets for the Growth Analytics team. Ensure playbook adoption across relevant markets.
• Define requirements and own a set of relevant KPIs, dashboards, and tooling for the Growth Analytics and SGTM teams to track progress and make decisions effectively.

• Bachelor's degree in Mathematics, Economics, Computer Science, Statistics or similar
• At least 2 years of experience in an analytical role dealing with large volumes of data 
• Solid grasp of statistics and demonstrated experience with A/B testing
• Proficiency in SQL and Excel, with experience in Python or R
• Experience with BI tools and data visualization such as Looker, Tableau or Power BI
• Strong collaborator with excellent communication skills (both verbal and written)

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 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.

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!

We are looking for a Senior Business Analyst to play a critical role in performance analysis, dashboard development, and enabling strategic initiatives across both HQ and local teams.
Join us in shaping the future of online grocery shopping across our markets 🚀

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 Stores team at Bolt Food drives data-driven decision-making to improve performance and accelerate growth across our Grocery Delivery business. We work at the intersection of strategy, commercial execution, and analytics to scale a strong and sustainable grocery offering across our markets.

As a Senior Business Analyst, you will enable data-driven decision-making to support and grow Bolt Food’s Grocery Delivery business. Reporting to the Head of Strategy & Operations, you will own key performance analyses, build and maintain dashboards, and partner closely with global and local stakeholders to drive measurable business impact.
You will work across pricing, promotions, assortment, partner performance, and customer behaviour, ensuring insights translate into clear actions that improve operational efficiency, value propositions, and long-term growth.

• Analyse Customer Value Proposition, customer behaviours, and advertising strategies to optimise Bolt Food’s grocery offering.  
• Partner with HQ and local teams to identify regional nuances, drive change, and scale global solutions.  
• Use data to answer critical business questions and support strategic initiatives..  
• Build and maintain dashboards and automated reporting to track performance and support decision-making.  
• Work closely with commercial teams to drive initiatives that attract new partners and grow existing ones.
• Act as an owner of your analytical backlog, prioritising work for maximum business impact.

• You have 5+ years of experience in analytics, business intelligence, or product analytics roles.
• You have advanced Excel or Google Sheets skills (experience using Python for automation is a plus).  
• You have experience with data visualisation tools (Looker preferred) and the ability to communicate insights clearly through data.
• You possess solid SQL skills (no need to be a data modelling wizard, but being able to read complex queries is a must).
• You have strong stakeholder management skills; you act like an owner and are comfortable operating in ambiguity. 

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 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.

We are looking for a Senior Business Analyst to play a critical role in performance analysis, dashboard development, and enabling strategic initiatives across both HQ and local teams.
Join us in shaping the future of online grocery shopping across our markets 🚀

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 Stores team at Bolt Food drives data-driven decision-making to improve performance and accelerate growth across our Grocery Delivery business. We work at the intersection of strategy, commercial execution, and analytics to scale a strong and sustainable grocery offering across our markets.

As a Senior Business Analyst, you will enable data-driven decision-making to support and grow Bolt Food’s Grocery Delivery business. Reporting to the Head of Strategy & Operations, you will own key performance analyses, build and maintain dashboards, and partner closely with global and local stakeholders to drive measurable business impact.
You will work across pricing, promotions, assortment, partner performance, and customer behaviour, ensuring insights translate into clear actions that improve operational efficiency, value propositions, and long-term growth.

• Analyse Customer Value Proposition, customer behaviours, and advertising strategies to optimise Bolt Food’s grocery offering.  
• Partner with HQ and local teams to identify regional nuances, drive change, and scale global solutions.  
• Use data to answer critical business questions and support strategic initiatives..  
• Build and maintain dashboards and automated reporting to track performance and support decision-making.  
• Work closely with commercial teams to drive initiatives that attract new partners and grow existing ones.
• Act as an owner of your analytical backlog, prioritising work for maximum business impact.

• You have 5+ years of experience in analytics, business intelligence, or product analytics roles.
• You have advanced Excel or Google Sheets skills (experience using Python for automation is a plus).  
• You have experience with data visualisation tools (Looker preferred) and the ability to communicate insights clearly through data.
• You possess solid SQL skills (no need to be a data modelling wizard, but being able to read complex queries is a must).
• You have strong stakeholder management skills; you act like an owner and are comfortable operating in ambiguity. 

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 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.

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’re looking for an experienced Data Scientist to join our Rides Safety team and help build our predictive and automated safety and risk systems - from user screening tooling and telemetry anomaly detection to behaviour factors predictions.

If you're excited about applying machine learning and automated decision-making tools to real-world mobility challenges, you’ll find plenty of impactful work here.

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!

You'll own Bolt's Safety automation and prediction systems end-to-end and directly influence users from our marketplace with millions of trips daily, working in an independent and self-sufficient full stack product team - from mobile applications through the server infrastructure. Your daily tasks will range from modelling risk to designing and experimenting with automated intervention strategies. This includes managing the load on automation endpoints and real-time data streams. You’ll identify new safety opportunities, run large-scale experiments, and take predictive and automation models from research to production. This is a highly impactful role where your work will directly shape the experience of over 200 million customers worldwide.

• Identify, research, and prioritise hypotheses to improve automated and predictive safety algorithms (e.g., risk scoring, verification, and progressive interruption systems).
• Develop, deploy, and monitor automated safety systems, ranging from classical supervised learning to real-time risk models and advanced control system designs.
• Design and run large-scale experiments to validate safety approaches and estimate their impact on core safety metrics (e.g., incident rates, verification success, and driver/rider experience).
• Lead the data science and ML-first approach to safety and risk management in the company.
• Partner with analysts, engineers, product managers, and operations specialists to identify safety problems and develop the most efficient, data-informed solutions.

• Strong ownership mindset and comfort working autonomously from problem research to model deployment.
• 3+ years of experience in machine learning for automated decision making.
• Exceptional knowledge of machine learning algorithms, statistical inference, and autonomous decision-making systems.
• Mastery in Python and SQL.
• Skilled at communication with cross-functional stakeholders.

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!

We’re looking for an experienced Data Scientist to join our Rides Safety team and help build our predictive and automated safety and risk systems - from user screening tooling and telemetry anomaly detection to behaviour factors predictions.

If you're excited about applying machine learning and automated decision-making tools to real-world mobility challenges, you’ll find plenty of impactful work here.

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!

You'll own Bolt's Safety automation and prediction systems end-to-end and directly influence users from our marketplace with millions of trips daily, working in an independent and self-sufficient full stack product team - from mobile applications through the server infrastructure. Your daily tasks will range from modelling risk to designing and experimenting with automated intervention strategies. This includes managing the load on automation endpoints and real-time data streams. You’ll identify new safety opportunities, run large-scale experiments, and take predictive and automation models from research to production. This is a highly impactful role where your work will directly shape the experience of over 200 million customers worldwide.

• Identify, research, and prioritise hypotheses to improve automated and predictive safety algorithms (e.g., risk scoring, verification, and progressive interruption systems).
• Develop, deploy, and monitor automated safety systems, ranging from classical supervised learning to real-time risk models and advanced control system designs.
• Design and run large-scale experiments to validate safety approaches and estimate their impact on core safety metrics (e.g., incident rates, verification success, and driver/rider experience).
• Lead the data science and ML-first approach to safety and risk management in the company.
• Partner with analysts, engineers, product managers, and operations specialists to identify safety problems and develop the most efficient, data-informed solutions.

• Strong ownership mindset and comfort working autonomously from problem research to model deployment.
• 3+ years of experience in machine learning for automated decision making.
• Exceptional knowledge of machine learning algorithms, statistical inference, and autonomous decision-making systems.
• Mastery in Python and SQL.
• Skilled at communication with cross-functional stakeholders.

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!

We are looking for an experienced Senior Growth Analyst to be a central part of the operational side of the Growth team, as we embark on an amazing journey to take Bolt to new heights!

Bolt is one of the fastest-growing tech companies in Europe and Africa, with over 200+ million customers in 50+ countries. We’re a global team of more than 100 nationalities joined on a common mission – to make cities for people, not cars. And we need you to make it happen!

As a Senior Growth Analyst, You will be taking the ownership of our campaigns spending decision and contributing to the marketplace's success by meticulously analyzing the return on investment (ROI). With your expertise, we'll be able to accurately determine the most strategic allocation of resources, including the exact location, timing, method, and amount spent on campaigns.

You will be working closely with other team members of Growth domain, as well as Expansion Managers, Marketing and Operation teams. A Senior Data Analyst will need to have good attention to detail and communication skills to succeed. Solid business sense and analytical mindset? You might be the campaign magician we’ve been waiting for.

• Own campaign spending decisions for your assigned markets and optimising such decisions to help the country team reach their growth targets
• Wrangle complex data-sets to come up with testing hypotheses, setting up A/B tests (and other experiments) and analysing results using statistical techniques in order to guide your decision making
• Proactively working together with Expansion Managers, Marketing, Operations and local teams to drive collaboration and get the most out of our investments
• Identify valuable opportunities in the team and contribute to global campaigns team playbook, processes and product requests

• BS in Mathematics, Economics, Computer Science, Information Management or Statistics
• At least 4 years experience in an analytical role dealing with large volumes of data, Experience in consulting, pricing/discount strategy and/or on-demand is a plus
• Solid grasp of statistics and demonstrated experience with A/B testing
• Amazing SQL, Excel, and Python skills, experience with R is a plus
• Experience with some BI tools and data visualization like Tableau, Power BI or Looker
• Fluent in English

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 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 500+ cities across 45 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.
• Take care of your physical and mental health with our wellness perks.

*Some perks may differ depending on your location.

 
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.

What is this role about?

As the Lead Machine Learning Engineer at Bondora, you will be the backbone of our Data Science delivery. Your mission is to build the robust infrastructure that powers automated model pipelines, ensures deployment reliability, and governs the full ML lifecycle from experimentation to production.

This is a strategic and hands on engineering role. You will collaborate closely with Data Science, Data Engineering, and Development teams to remove friction, improve scalability, and bring stable, high quality ML solutions into everyday decision making.

You will guide the evolution of our ML engineering stack, lead high impact initiatives, and mentor engineers while shaping a culture of technical excellence 🌿

Your main responsibilities 🎯

• Guide the technical direction of Bondora’s ML engineering stack by selecting, evaluating, and implementing technologies, tools, and processes that improve scalability and reliability.
• Lead complex, high risk, or cross departmental projects that directly influence Data Science delivery, risk model performance, and production stability.
• Act as the bridge between Data Science, Data Engineering, and Development to identify and solve systemic technical challenges.
• Design and build advanced, production grade ML infrastructure and set the engineering standard for the team.
• Ensure all ML solutions are secure, observable, resilient, and scalable, following governance, compliance, and operational best practices.
• Mentor ML Engineers through code reviews, design sessions, and hands on technical leadership.
• Identify weaknesses or inefficiencies in model or data infrastructure and drive company wide improvements.
• Represent the ML Engineering team in technical discussions and communicate architectural decisions clearly to stakeholders.

What would ensure success in this role?💪

• Strong Python engineering background and experience with MLflow, Unity Catalog, Databricks, or equivalent platforms used for model lifecycle management.
• Proven experience designing ML infrastructure, including CI/CD, containerization with Docker or Kubernetes, and orchestration with Airflow or Prefect.
• Deep understanding of monitoring and observability frameworks such as Prometheus, Grafana, or Datadog, and a track record of improving pipeline reliability.
• Expertise in model governance, versioning, auditability, and operationalization from research to production.
• Solid knowledge of cloud infrastructure on AWS, GCP, or Azure, including cost effectiveness and security best practices.
• Experience leading cross functional initiatives and mentoring engineers.
• Ability to balance innovation and stability through structured experimentation, pilot phases, and safe adoption of new technologies.

What can you expect at Bondora? 

• Contribute to Bondora’s ambitious goal of reaching 1BN in revenue. Your skills and efforts will directly impact our growth trajectory and shape the future of our company.
• Our employees deserve the best. We recognize our people with a competitive salary and a generous benefits package (5 weeks of vacation, private healthcare compensation, hobby grant, mental healthcare support, share options and much more!)
• We provide an environment that encourages your personal and professional growth. As we constantly evolve and innovate, you’ll have endless opportunities (and budget) to expand your skills and skyrocket your career.

The next steps

If you have the guts, ideas, and a team vision, apply now! 

Our hiring process: 

1️⃣ Meet Kerli H., our recruiter, for an initial conversation about your background and ambitions.
2️⃣ Complete our personality and logic assessments via Alva Labs.
3️⃣ Meet Rafael, our Head of Data Science.
4️⃣ Complete case study.
5️⃣ Chat with Juris, our Chief Credit Officer.
6️⃣ If everything aligns, welcome to Bondora 🎉