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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.

The Director of Data Engineering will lead and scale the Data Engineering and Analytics Engineering functions, owning the post-application data platform and its architecture, governance, and operating model. This foundational leadership role ensures best in class engineering standards, helps drive the organization toward a durable, auditable, data-product operating model, and modernizes and expands a Snowflake-centered data stack to include building and operating scalable distributed data processing and real-time streaming systems that support event-driven data products for operational use cases.

The role partners closely with Product, Software Engineering, Data Product Managers, Marketing, Compliance, Finance and Data Science to ensure our data ecosystem is production-grade, scalable, and compliant in a regulated gaming environment.

What You'll Do:

Team Leadership & Organizational Growth

• Lead and grow Data Engineering and Analytics Engineering teams; recruit, mentor, and elevate technical capabilities around distributed data processing, stream processing, and event-driven architectures
• Define ownership models for platform components and data products; set performance and hiring plans.
• Advance engineering standards for deployment: development, testing, documentation, release management, and SLAs.
• Partner with Data Product Managers to define data assets as versioned, documented data products with clear ownership and SLAs.

Platform, Architecture & Engineering Excellence

• Own the administration, reliability, governance, and strategic expansion of the Snowflake-based post-application data platform to operate scalable distributed data processing pipelines capable of handling high-volume event data across both batch and streaming workloads.
• Manage platform governance, access control, security, cost, and capacity planning.
• Standardize DBT deployment methods, promotion workflows, and environment management.
• Implement Infrastructure-as-Code (Terraform or similar) for reproducible, auditable infrastructure.
• Deliver monitoring, observability, lineage, and data quality frameworks; enforce traceability and auditability for regulated reporting.
• Own and evolve ingestion and warehouse architecture and transformation frameworks .
• Improve performance, cost efficiency, reliability, and scalability of data transformation and storage layers.
• Define and enforce engineering standards across the data lifecycle and establish SLAs and reliability metrics for critical assets - ensuring all pipelines, transformations, and reporting are auditable and documented for internal and external review

Event-Driven Architecture & Player 360

• Partner with Software Engineering on event messaging, streaming architecture, and ingestion patterns (built on technologies such as Kafka, Kinesis, Spark Structured Streaming, Flink, or equivalent platforms).
• Lead technical design and development of a unified Player 360 data foundation that integrates transactional, behavioral, and event-level data.
• Align application schema design with downstream analytical, product, and regulatory requirements.
• Balance real-time and batch processing strategies according to business needs and cost/complexity tradeoffs.

What You'll Bring:

• Bachelor’s degree in Computer Science, Engineering, Data Science, or related STEM field preferred. Equivalent practical experience will be considered.
• 8+ years of experience in data engineering, with 3+ years of experience in leadership roles. 
• Experience transitioning an organization from private/startup to public company.
• Experience in regulated industries (gaming, fintech, payments, healthcare).
• Prior experience building Player 360 / Customer 360 platforms.
• Deep hands-on experience with Terraform / IaC and production-grade streaming systems (Kafka, Kinesis, etc.).
• Familiarity with GenAI governance frameworks and scalable AI integration patterns such as Harness Engineering.
• Able to travel occasionally both domestically and internationally. #LI-REMOTE #LI-PROMOTE

We're looking for a Product Analyst to join our team and partner directly with Product and Engineering squads to turn data into actionable product insight. You'll sit within the Product Analytics team (Data Division), reporting to the Product Analytics Lead.

You’ll help us protect honest people online by:

• Partner with Product Managers and Engineering leads as an analytics partner, owning the data narrative for your product area(s)
• Design and deliver dashboards from product portfolio metrics to customer-level performance views
• Design, run, and analyse A/B tests and experiments providing rigorous statistical guidance on sample sizing, significance, and causal inference
• Conduct deep-dive investigations, e.g. product funnel diagnostics, or customer behaviour patterns
• Proactively identify patterns, anomalies, and opportunities in data and communicate findings clearly to stakeholders
• Support data governance initiatives

You are the right future Veriffian for the job if you:

•  Live in the data, and love simplifying complexity
• 3-5+ years of experience in a data analyst, product analytics, or data science role.
•  Extensive experience in SQL
• Solid understanding of A/B testing methodology, statistical significance, hypothesis testing, and causal inference
• Exposure to Python for data manipulation, ad-hoc analysis, and statistical modelling (pandas, scipy, etc.)
• Experience building dashboards
• Ability to translate complex analysis into clear, actionable recommendations for non-technical stakeholders

You’re an especially awesome match if you have:

• Advanced SQL
• Familiarity with dbt
• Experience with  a B2B SaaS or tech company
• Experience with identity verification, fraud detection, or fintech domains
• Exposure to predictive analytics or machine learning techniques
• Experience with data governance
• Experience with communicating to senior non-technical audiences

Location: Spain or Estonia Remote Only

The Analytics Engineering Technical Lead will define and own the modeling architecture, standards, and technical direction within RSI’s cloud-native Data Platform. This role is accountable for ensuring that analytics-ready data is reliable, scalable, and aligned to long-term business needs across growth, operations, and risk.

You will lead the design and governance of core data models in Snowflake and dbt, establishing best practices that enable high-quality, self-service analytics without sacrificing trust or performance. As a hands-on technical leader, you will set standards for modeling, testing, documentation, and deployment while mentoring other Analytics Engineers and raising the overall technical bar of the team.

This role partners closely with Data Engineering, Analytics, and business stakeholders to translate evolving requirements into durable data products. You will help balance speed and governance, prioritize platform investments, and ensure our data foundation scales with the business.

Our modern data stack includes Snowflake, AWS, Python, Airflow, and dbt.

What You'll Do:

• Lead the design, development, and lifecycle management of curated datasets, dbt models, and analytics data marts aligned to business domains and metrics.
• Establish and evolve standards and best practices for dbt modeling, testing, documentation, and code organization to support long-term scalability.
• Ensure analytical datasets are accurate, reliable, and trusted, serving as a single source of truth for business, product, and stakeholders.
• Embed data quality checks, documentation, and governance directly into analytics pipelines.
• Partner closely with Product, Data Engineering and Analytics teams to translate business requirements into well-modeled, performant data products.
• Mentor and support Analytics Engineers through technical guidance, design reviews, and knowledge sharing.
• Continuously improve and modernize analytics workflows by introducing automation, tooling enhancements, and AI-assisted development where appropriate.
• This role includes technical leadership and mentoring responsibilities for the team, including other Analytics Engineers.

What You'll Bring:

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related quantitative discipline.
• Technical Leadership: Proven experience defining technical direction, standards, and architectural decisions within analytics engineering or curation teams.
• Data Modeling Expertise: Deep understanding of dbt, data marts, dimensional modeling, and self-service BI enablement.
• Data Engineering Background: 7+ years of experience in data warehousing or development; 5+ years of experience in hands-on data engineering using SQL and Python.
• Cloud Infrastructure: Proficiency with cloud platforms (AWS, GCP, or Azure), including containerization (Docker/Kubernetes).
• Tooling & Orchestration: Experience with tools like dbt, Airflow, S3, REST APIs, and large-scale DWHs (Snowflake, Redshift, BigQuery, etc.).
• Change Management: Skilled at leading cross-functional data initiatives and driving adoption of new tools and standards.
• People Leadership: Experience mentoring and guiding distributed teams across time zones.
• Communication: Strong written and verbal English skills with the ability to collaborate across technical and business functions.
• Able to travel occasionally both domestically and internationally #LI-HYBRID

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 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 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 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.