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

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

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

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

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

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

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

Experience is great, but what we really look for is drive, intelligence, and integrity. So even if you don't tick every box, please consider applying!

• Accelerate your professional growth with unique career opportunities.
• Enjoy a rewarding salary and stock options, knowing that as Bolt succeeds, so do you.
• Take care of your physical and mental health with our wellness perks.
• Celebrate 5 years at Bolt with a 1-month paid sabbatical to recharge.
• Connect with colleagues at annual company events and smaller team gatherings.
• Balance flexibility and in-person collaboration with our hybrid model, including at least 12 monthly in-office days.

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

We'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.

 
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 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 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 🎉