Jobs Data & Analytics

The Role
Our standard delivery model splits work across a business analyst, a system analyst and team lead, developers, and testers. We are looking for a rare engineer who can own that entire cycle end to end — gathering requirements, shaping the technical solution and specification, building it across backend, frontend, and mobile, and testing it properly — using modern AI tooling as the force multiplier that makes this possible.

This is not a "prompt engineer" role and it is not a traditional full-stack role. It is a full-cycle builder who has genuinely internalized AI-assisted development: someone who uses coding agents, LLM APIs, and AI-driven testing daily to compress what used to take a team into what one strong, AI-fluent engineer can deliver — without sacrificing quality, security, or maintainability.

You will work directly with the CTO and product stakeholders, take an idea from a vague business need to a shipped, observable, production-grade feature, and set the standard for what AI-native engineering looks like at Billease.

WHAT YOU'LL DO:
Discovery & requirements
- Engage business stakeholders directly to elicit, clarify, and document business requirements.
- Turn ambiguous problems into clear, testable requirements — using AI to accelerate research, drafting, and gap analysis.

Solution design & specification
- Produce technical solutions and specifications: data models, API contracts (OpenAPI), service boundaries, sequence and architecture diagrams.
- Make sound architecture decisions aligned with our microservices, event-driven, and security-first principles, and document the trade-offs.

Build (backend / frontend / mobile)
- Implement backend services in Python and/or Golang on PostgreSQL, with appropriate messaging (Kafka) and caching.
- Build web frontends (Vue/Nuxt or React) and, where needed, mobile features (Android/Kotlin, iOS/Swift).
- Write reusable, testable, efficient code, using AI coding agents to move fast while keeping the codebase clean and reviewable.

Test & quality
- Design and execute meaningful test coverage — unit, integration, API, and end-to-end — leveraging AI-assisted test generation and review.
- Own quality end to end: you are the developer *and* the tester, and "done" means verified.

Ship & operate
- Deliver through our CI/CD pipelines and infrastructure as code.
- Build observability in at design time (metrics, logs, tracing) and support what you ship.

MUST-HAVE QUALIFICATIONS:
Mandatory: demonstrable, hands-on experience with a range of AI tools in real development work. This is the non-negotiable core of the role — we will ask you to show concrete examples of what you have built and how AI changed your workflow and output.

Real, current experience with AI development tooling, such as:
- AI coding agents / assistants (e.g. Claude Code, Cursor, Copilot, or similar) used to deliver production work, not just experiments.
- Working directly with LLM APIs (e.g. Anthropic, OpenAI) — prompt design, structured outputs, tool/function calling, and agentic workflows.
- AI-assisted testing, code review, documentation, and requirements/spec generation.

Full-cycle software engineering experience — you have personally taken features from requirement to production, not only implemented tickets handed to you.
- Backend proficiency in Python and/or Golang, with solid PostgreSQL and SQL skills.
- Frontend capability with a modern framework (Vue/Nuxt or React).
- Ability to write clear specifications and communicate effectively with both technical and non-technical stakeholders.
- Understanding of microservices, REST/API design, event-driven patterns, Git-based workflows, and CI/CD.
- Security- and quality-conscious mindset; comfortable owning testing and operability of your own work.
- Self-directed, high-ownership, and able to deliver under real deadlines.

NICE-TO-HAVE
- Fintech / financial services experience — lending, payments, digital banking, or regulatory-aware development (a strong plus).
- High-load / high-scale systems experience — performance tuning, partitioning, caching strategies, and designing for reliability under load.
- Mobile development experience (Android/Kotlin, iOS/Swift).
- Cloud-native and DevOps exposure: AWS, Kubernetes, Terraform/Ansible, Kafka, and observability tooling (Prometheus, Grafana).
- Experience integrating AI features into products (chatbots, voice, document/image processing, RAG, or automation).

HOW WE WORK
- Stack: AWS, Kubernetes, Python & Golang, PostgreSQL, Kafka, Vue/Nuxt & React, Android/iOS, Terraform/Ansible, GitLab CI/CD.
- Principles: clear and maintainable architecture, security-first, scalability and reliability, high observability and automation, cloud-native and microservices-oriented design, and a strong focus on performance, resilience, and operational excellence.
- AI-native by default: we expect AI to be part of how you think, design, build, and test — used deliberately and responsibly.

WHAT SUCCESS LOOKS LIKE:
Within your first few months, you independently take a real business need through the full cycle — requirements, spec, implementation across the relevant layers, tests, and a production release with observability — at a speed and quality that would traditionally have required a small team, and you help the rest of engineering raise its AI fluency along the way.

We are an ambitious iGaming R&D project building our product from scratch for a regulated Tier 1 market. We are looking for a BI Analyst who wants to act as a true data partner. You will turn player, financial, and marketing data into clear, actionable reporting that drives decisions across CRM, product, and finance. You will own our data models and dashboards end to end.
 

Key Responsibilities:

• Dashboard Ownership: Design, build, and maintain dashboards and reports in Power BI and/or Tableau.
• Data Modeling & SQL: Build and maintain data models that consolidate CRM, product, and finance data into a single source of truth. Write and optimize SQL queries.
• KPI Tracking: Track and report on core KPIs, including GGR, NGR, deposits/withdrawals, FTDs, retention, churn, ARPU, and player LTV.
• Cross-functional Collaboration: Partner with CRM, marketing, product, and finance teams to translate their needs into dashboards. Monitor data quality and support ad-hoc analysis for leadership.
   

Requirements:

• Experience: Proven experience as a BI Analyst or Data Analyst, ideally within iGaming, fintech, or another regulated, data-intensive industry.
• Tech Stack: Hands-on experience with Power BI and/or Tableau. Strong SQL skills and understanding of data modeling principles (star schema, DAX, etc.).
• Domain Knowledge: Familiarity with core iGaming metrics is a strong plus.
• Soft Skills: Ability to communicate insights clearly to non-technical stakeholders. Fluent English.
   

What We Offer:

• Ownership: Ownership of BI and reporting infrastructure in a fast-growing project with the autonomy to shape processes from the ground up.
• Flexibility: Fully remote work with flexible working hours.
• Compensation: 
  Competitive salary + KPI-based bonus after probation.
  20 working days of paid vacation, and 10 days of paid sick leave.

We are looking for an experienced Data Analyst to join a project in the Fintech domain. You will work with large-scale financial datasets, delivering actionable insights and building analytical solutions that support business decision-making.
 

Requirements

• 3+ years of experience as a Data Analyst.
• Strong hands-on experience with Snowflake.
• Commercial experience with Sigma Computing (Sigma BI).
• Advanced SQL skills with the ability to write and optimize complex queries.
• Experience working with data modeling, reporting, and dashboard development.
• Ability to analyze complex datasets and translate business requirements into data-driven solutions.
• Strong communication skills and the ability to collaborate with business stakeholders.
• Upper-Intermediate or higher English.
   

Nice to Have

• Experience with other BI tools (Tableau, Power BI, Looker).
• Knowledge of cloud data platforms and modern data warehousing concepts.
• Familiarity with financial reporting and investment analytics.
   

If you enjoy transforming complex financial data into meaningful business insights and have strong experience with Sigma and Snowflake, we'd love to hear from you.

We are expanding our delivery team and hiring an Oracle Database Developer for a large-scale energy transformation project. The system is live, complex, and business-critical, supporting millions of customer accounts, large volumes of transactional data, and core billing and customer management processes.The project operates in the energy domain and is part of a long-term enterprise implementation where database development is closely integrated with delivery, QA, product, and support teams. You will work with complex data models, business-critical processes, and high-performance database solutions that support real production environments.Responsibilities

• Design, develop, and maintain business logic using Oracle PL/SQL.
• Develop, optimize, and troubleshoot complex SQL queries, procedures, packages, functions, and triggers.
• Participate in database design and implementation activities.
• Analyze and improve SQL and PL/SQL performance for large-scale production workloads.
• Work with complex data models and enterprise business processes.
• Support data migration, integration, and data correction activities when required.
• Collaborate closely with developers, QA engineers, Business Analysts, Product Owners, and support teams.
• Investigate and resolve production issues related to database logic and data consistency.
• Contribute to technical documentation and knowledge sharing within the team.
• Ensure the quality, reliability, and maintainability of database deliverables.

Required Skills

• 3+ years of experience in Oracle database development.
• Strong knowledge of SQL and PL/SQL.
• Good understanding of Oracle RDBMS fundamentals.
• Experience developing and maintaining complex database objects.
• Experience working with large datasets and complex business logic.
• Understanding of relational database design principles and data modeling concepts.
• Experience troubleshooting and optimizing database performance.
• Intermediate English or higher.
• Strong analytical and problem-solving skills.

Preferred Background

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
• Experience with database design and data modeling.
• Experience with SQL performance tuning and PL/SQL optimization.
• Experience working on enterprise-scale, long-living systems in active delivery environments.
• Experience in the Energy, Utilities, Telecommunications, Billing, CRM, or other enterprise software domains.

Nice to Have

• Experience with Java development.
• Experience with JavaScript.
• Familiarity with BPM platforms such as Camunda.
• Experience with PostgreSQL or NoSQL databases.
• Understanding of CI/CD practices and automated testing.
• Basic database administration knowledge.
• Experience working in Agile development environments.

What You’ll Get

• Opportunity to work on a large-scale enterprise solution used in a real production environment.
• Exposure to complex business processes within the energy industry.
• Participation in long-term product evolution and strategic transformation initiatives.
• 20 working days of annual vacation plus paid public holidays.
• Paid professional development, including trainings, conferences, seminars, certification programs, and English language courses.
• Flexible working hours and the possibility of remote work.

If you enjoy solving complex data challenges, working with enterprise-scale systems, and developing reliable database solutions that support mission-critical business processes, you will be a strong fit for our team.

We are seeking a proactive Middle Big Data Engineer to join our team. In this role, you will be responsible for designing, developing, and maintaining scalable data pipelines and reporting-ready data assets within Palantir Foundry. The ideal candidate will possess a robust background in cloud technologies, data architecture, and a passion for solving complex data challenges.

You will collaborate with a cross-functional team and stakeholders to translate business requirements into scalable data solutions, enabling reporting, improving data quality, and driving data transformation initiatives.

About the Client:

Our client is a leading global healthcare organization, driving innovation in pharmaceuticals, biotechnology, and patient-centric solutions. They develop advanced data and analytics solutions that help global organizations turn complex data into intuitive digital tools, enabling teams to make informed decisions in their daily operations and long-term strategy. Their projects span modern operational applications, interactive dashboards, and advanced analytics platforms designed to deliver actionable insights across multiple business domains.

Key Responsibilities:

• Collaborate with cross-functional teams to gather business requirements and design, implement, and maintain scalable data pipelines in Palantir Foundry, ensuring end-to-end data integrity and optimized workflows
• Design and maintain data ingestion, transformation, and orchestration pipelines using Palantir Foundry, Python, and PySpark
• Develop reporting-ready datasets and data models to support downstream analytics and Power BI reporting
• Develop, optimize, and maintain efficient ETL/ELT processes to collect, process, and integrate data from multiple sources, ensuring timely and accurate data delivery
• Implement data quality validation, monitoring, and health checks to ensure reliability and consistency of data assets
• Monitor pipeline performance, identify bottlenecks, troubleshoot production issues, and continuously improve scalability and processing efficiency
• Plan and prioritize work independently, communicate progress transparently, and proactively manage changing priorities while proposing practical solutions when requirements evolve
• Maintain clear technical documentation and promote automation and continuous improvement across data engineering processes
• Stay current with emerging technologies and industry best practices, incorporating innovative approaches into data engineering solutions

Required Qualifications:

• 3+ years of experience in data engineering, preferably within the pharmaceutical or life sciences industry
• Strong proficiency in Python and PySpark
• Proficiency with big data technologies (e.g., Apache Hadoop, Spark, Kafka, BigQuery, etc.)
• Hands-on experience with cloud services (e.g., AWS Glue, Azure Data Factory, Google Cloud Dataflow)
• Expertise in data modeling, data warehousing, and ETL/ELT concepts
• Hands-on experience with database systems (e.g., PostgreSQL, MySQL, NoSQL, etc.)
• Proficiency in containerization technologies (e.g., Docker, Kubernetes)
• Effective problem-solving and analytical skills, coupled with excellent communication and collaboration abilities

Nice to have:

• Experience with market research data
• Familiarity with Veeva CRM, Reltio, SAP, and/or Palantir Foundry
• Background in pharma or healthcare
• Experience with automation / pipeline optimization

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

About us:
 

BetterMe — a global wellness ecosystem empowering millions to become better — physically, mentally, and emotionally. We build what makes people better and keep challenging ourselves to inspire others.

Your impact:
 

• Primarily work with Marketing team and help to make correct data-informed decisions;
• Automate the management and monitoring of marketing platforms (e.g., campaign status tracking, performance monitoring, budget control, anomaly detection);
• Build scripts and tools to interact with ad platform APIs, streamline routine tasks;
• Create AI-assisted workflows using LLM APIs;
• Develop and support dashboards and reports that provide transparency into campaign performance and business KPIs;
• Contribute to our internal BetterBI system, consolidating marketing, financial, and product data.
• Help design a scalable and maintainable analytics infrastructure and improve internal data workflows.

About you:
 

• 2+ years of experience as a Data Analyst in a product-oriented company;
• Experience working with digital marketing platforms (e.g., Meta Ads, Google Ads, TikTok Ads) via APIs;
• Full proficiency in SQL and Excel;
• Hands-on experience with BI tools and data visualization (e.g., Tableau);
• Confident Python skills for data manipulation and scripting;
• Strong English written/verbal communication skills;
• Analytical mindset; ability to structure information and dive deeper when it is needed;
• Practical experience using ChatGPT, Gemini, or other LLM APIs, with a good grasp of prompt engineering to solve business tasks.
   

Will be a plus:

• Experience working with product analytics platforms (Amplitude, Firebase, AppsFlyer, etc.);
• Understanding of A/B testing methodologies and experimentation frameworks.

What you get at BetterMe:
 

A mission that inspires. Every line of code, every design, every idea helps millions of people become healthier and more confident.
Trust without micromanagement. You manage your time and make decisions independently. We value outcomes, not online hours.
Growth opportunities. 90% of our leads have grown within the company. There’s space for initiative, new responsibilities, and real career upgrades.
Flexible work format. Choose what works best for you — office, remote, or hybrid.
Wellness in practice. Offline: workouts with professional trainers in our corporate gym, massage, corporate lunches, sports, and team activities — everything you need to recharge and reset together. Online: regular online workouts, partner discounts, and free access to our products.
Health insurance & corporate doctor.
Open communication. Transparency across teams, honest feedback, and support for initiatives are part of our everyday culture.
Support for sports events. We cover entry fees and encourage the team to compete and participate together.
Modern equipment. We provide new hardware and everything you need for productive work.
Legal & finance support. Experienced lawyers and financial specialists are always there to help — from documents to personal consultations.
An ambitious environment that gets recognized. Over the past two years, the BetterMe team has doubled in size, and we were named among Forbes’ Top 10 Best Places to Work in 2026.

Find more about us on social media platforms: Instagram, LinkedIn.

Requirements

• Experience: 4+ years as a Business Analyst, preferably in the iGaming or payments industry.
• Experience working with Atlassian stack tools (Jira, Confluence).
• Ability to present information clearly, logically, and consistently.
• Strong analytical and problem-solving skills, with a proven track record of delivering actionable insights and solutions.
• Understanding documentation standards.
• Proficiency in requirement gathering (in the form of user stories, use cases, and other relevant formats), process mapping(UML, BPMN), and documentation(including requirements specifications, user manuals, and maintenance guides).

Will be plus

• Experience with payment method integrations and understanding of the payment process.
• Understanding REST API, JSON;

Responsibilities

• Analysis of the gathered requirements and expectations and creation of requirements specifications (in the form of a user story).
• Supporting needs in requirements management during the whole project life cycle.
• Interaction with key stakeholders to gather and analyze business requirements, consulting them on opportunities and risks.
• Providing information and consulting about products’ features, relations and interactions to any stakeholder on demand.
• Monitoring and analysis of projects implementation, delivery and operation with feedback for improvements.
• Review and approve the user stories in collaboration with project managers and key technical specialists.
• Presentation of the user stories to the team, their clarification of incomprehensible and controversial points, and their updating and change as a result of discussion with the team.
• Ownership and detailed understanding of the features and functions of products and applications from the area of ​​responsibility. This knowledge usage to identify opportunities and threats for new requirements.

• Development and maintenance of documentation in accordance with standards and requirements.

   

Our stack
Confluence; Jira; Draw.io; Miro; Figma; UML, BPMN notation.

Benefits

• An exciting and challenging job in a fast-growing business groups, the opportunity to be part of a multicultural team of top professionals in Development, Architecture, Management, Operations, Marketing, Legal, Finance and more
• Great working atmosphere with passionate experts and leaders, sharing a friendly culture and a success-driven mindset is guaranteed
• Beautiful offices in Warsaw, Limassol, Kyiv, Almaty, Yerevan — work remotely or on-site with comfort and enjoy the opportunity to build a network of connections with professionals day by day
• Modern corporate equipment based on macOS or Windows and additional equipment are provided
• Paid vacations, sick leave, personal events days, days off
• ️Corporate health insurance program for your well-being
  Referral program — enjoy cooperation with your colleagues and get the bonus
• Educational programs: regular internal training sessions, compensation for external education, attendance of specialized global conferences
• Rewards program for mentoring and coaching colleagues
• Free internal English courses
• Yoga classes to help you stay active and energized
• In-house Travel Service
• Multiple internal activities: online platform for employees with quests, gamification, presents and news, RedCore clubs for movie / book / pets lovers, special office days dedicated to holidays
• Corporate events, team buildings

About us

DroneOps is a company creating innovative UAV-related products, focused on UAV autonomy and navigation, founded in 2023. We are a team of innovators and inventors who take on the duty to help the armed forces of Ukraine defend our country and democracy by providing reliable advanced systems that simplify their work, improve personnel safety, and enable more cost-effective and precise UAV mission execution.

Overview

We are looking for a Middle / Senior Computer Vision / Deep Learning Engineer to extend our onboard navigation capabilities with modern perception and learning-based methods.

This is a hands-on R&D role: you work from research and prototypes to production on edge hardware, collaborate with software, and flight teams, and help shape how new CV/DL features are built and shipped. The role suits someone who can follow state-of-the-art work, implement what fits our constraints, and care about real-world performance—not only offline benchmarks.

Responsibilities

Relocalization & navigation

• Design and develop satellite, map, and semantic navigation capabilities that improve the overall quality of our navigation
• Build and maintain pipelines for map and reference-data preparation before missions
• Extend the existing visual-inertial navigation stack with relocalization and map-based aiding features
• Develop training pipelines for these tasks (data preparation, training, evaluation, and iteration)
• Create utilities that make map preloading and mission setup convenient for operators and integrators
•  

Research & implementation

• Track relevant research and industry approaches; prototype and adopt methods where they clearly improve the product
• Reimplement or adapt algorithms when off-the-shelf solutions do not fit our data, hardware, or latency requirements
• Define evaluation metrics and acceptance criteria for new features before field and deployment rollouts
•  

Edge deployment & production

• Optimize models and inference for target onboard hardware
• Integrate new features into the production codebase with stable APIs, logging, and failure handling
• Take part in architecture decisions, code review, and team practices that keep production quality high as the stack grows
•  

Required skills & experience

• 3+ years of practical experience in computer vision and deep learning
• Strong Python; ability to write clear, maintainable code for experiments and production paths
• Experience with training and deploying deep learning models (PyTorch)
• Familiarity with model optimization for edge or embedded devices (pruning, quantization, ONNX/TensorRT-class tooling, or equivalent)
• Comfort working with geospatial or map-related data and preprocessing pipelines
• Practical production mindset: reproducible experiments, versioning, and validation on real data
• English B2+ for documentation and technical discussion; Ukrainian for day-to-day team communication
•  

Nice to have

• Experience with deep learning keypoint detection and matching approaches
• Comfortable with geometric computer vision (camera models, epipolar geometry, robust estimation)
• Multi-sensor fusion / SLAM / EKF background
• UAV, robotics, or aerospace field experience
• Experience with satellite or aerial imagery, semantic segmentation, or visual place recognition
•  

What we offer

• Competitive salary
• Reservation from mobilization
• Impact on improving our country's defense capabilities
• 21 days of vacation + public holidays, sick leaves

appflame – Ukrainian product IT company that creates world-class products: Hily, Taimi, AdConnect, Mailkeeper, and more.

We are today:

• 7 years, 500+ employees, offices in Kyiv, London, Limassol, and a coworking in Warsaw;
• in 2025, appflame ranked 5th among the 50 best employers in Ukraine according to Forbes and won in the 'Place for Growth' category.

Our apps Hily and Taimi are among the Top 5 dating apps in the U.S. with over 70 million users, while AdConnect and Mailkeeper specialize in developing and scaling our own B2B and B2C solutions.

Our mission:

• Flame up the world with Ukrainian products.

Our goals:

• Reach the top 5 list of product companies in the world.
• Become a unicorn.
• Turn Ukraine into a country where unicorns are born and thrive.

We are looking for daring, brave, and “crazy” people. Fans of creating real products and who dream about launching and developing cool startups. You have ambitions, we have comfortable conditions for their fulfillment.

You will:

• Analyze user behavior, funnels, and product metrics to identify growth opportunities and generate data-backed hypotheses.
• Design, launch, and analyze A/B tests end-to-end — from hypothesis formulation to documented decision.
• Translate analytical findings into clear recommendations for product managers and stakeholders.
• Build dashboards, reports, and analytical frameworks that help the product team track key metrics and move faster.

We’ll have a match if you have:

• 2+ years of experience as a Product Analyst.
• Strong SQL skills and experience working with large datasets.
• Hands-on experience with A/B testing.
• Solid understanding of statistics, product metrics.
• Experience with BI tools such as Tableau, Looker, Power BI, or similar.

Will be an advantage:

• Experience in fintech or personal finance products.

Your journey to the job offer: message from the recruiter > interview > test > final interview > job offer.

Why appflame?

• Involvement in the development of Ukrainian products that compete with the world's best market players.
• The opportunity to implement your ideas rather than being a cog in the system.
• Meaningful and useful products created to serve a specific purpose rather than make money for shareholders.
• Be around like-minded people who work on results.
• Work with the global market and a huge audience.
• Direct contact with Snapchat, Meta, Google, Apple, and access to their best practices.
• Well-established processes and great opportunities to growth within the company.
• Transparent evaluation of work based on personal performance indicators.
• Great benefits package and fair compensation.

We provide all you need for your talents to be fully revealed.

We are loyal to our people. Our loyalty doesn't fade at the end of the working day. We do not leave our people alone with their problems, neither professional nor personal.

Join us.

__________

We are against all types of discrimination, bullying, and stereotypes. We provide equal employment opportunities regardless of race, skin color, religion, gender, sexual orientation, gender identity, age, marital status, health status or any other characteristics.

We are looking for a Senior Business Analyst to join a large-scale business transformation and modernization initiative for a formal, structured financial institution. This is a deeply embedded, client-facing role: you will sit at the intersection of business stakeholders, the UX team, and multiple technical teams, translating stakeholder needs into feasible, well-scoped requirements.

Responsibilities

• Work directly with client stakeholders across many departments to elicit, understand, and document their needs.
• Define and map current state vs. future state processes as part of a major modernization effort.
• Plan and run workshops and working sessions with stakeholders, including on-site sessions.
• Liaise between business stakeholders and technical teams - including a third-party team responsible for maintaining and upgrading the back end and the in-house implementation team responsible for the front end - to validate that requested changes are feasible, within capability, and minimize changes to the back end.
• Assess, at a directional level, whether a requested change is likely to be a large or small technical lift, and communicate that to the technical teams for discussion.

Requirements

• Experience: 5+ years of Business Analyst experience on digital products or software delivery teams, with client-facing responsibilities - comfortable operating as an embedded resource on the client side.
• Corporate & financial background: Experience with formal, structured, corporate-style organizations - preferably a banking or financial institution - and at ease stepping into that kind of environment.
• Transformation experience: Hands-on work on modernization or business transformation initiatives involving complex enterprise software - including current-state/future-state definition and navigating multiple stakeholders and user archetypes.
• Technical fluency: Enough technical understanding to gauge whether a change is a large or small lift and to hold your own in conversations with engineering teams.
• Requirements mastery: You consistently produce requirements that reduce ambiguity and rework - clear stories, strong acceptance criteria, and well-documented rules and flows.
• Delivery fluency: Comfortable in Agile environments (Scrum/Kanban); experienced supporting refinement, sprint planning, demos, and iterative releases.
• Analytical mindset: Strong problem decomposition, structured thinking, and the ability to use data/metrics to clarify decisions and measure outcomes.
• English proficiency: Excellent written and spoken English - comfortable leading workshops, documenting decisions and requirements, and communicating delivery tradeoffs with senior stakeholders.
• Tooling familiarity: Jira and Confluence, AI and collaboration tools, comfort working alongside UX systems (e.g., Figma prototypes).
• Time zone alignment: Able to work with meaningful overlap in European & US hours.
• Travel: Willingness to travel to Jeddah, Saudi Arabia up to four times per year (roughly quarterly) for on-site workshops and sessions.

Strong Pluses / Nice to Have

• Experience with a multilateral development bank (MDB) or another financial institution.
• Prior consulting or professional services background (e.g., a formalized professional services firm).
• SAP exposure - experience on a project that was SAP-related or SAP-adjacent (the client environment involves SAP HANA and a Fiori front end, with a new front end being designed in React); direct hands-on SAP work is not required.
• Cultural familiarity with Saudi Arabia or the Middle East - through language, heritage, or past work experience in the region.
• Arabic language skills.

BETER is a rapidly growing product company. We create competitive content supplemented with analytics. For more than 5 years, we have been organizing sports tournaments, broadcasts, and developing our own sports community. We hold 45,000+ events per month in esports and traditional sports, and our products are represented in 150+ countries worldwide.

We are looking for a hands-on Data Science Tech Lead to join our team and drive the development of sports analytics and prediction products. This role combines deep technical expertise in machine learning and mathematical modeling with team orchestration and delivery ownership.

You will work closely with the Engineering Manager and lead a team of 4 Data Science Engineers, helping transform business needs and production challenges into scalable data science solutions.

Responsibilities:

• Collaborate with the Engineering Manager to coordinate and support a team of 4 Data Science Engineers
• Collect and analyze business requirements, production issues, and product needs, transforming them into actionable data science tasks and backlog
• Analyze large volumes of sports, esports, and trading data
• Develop and improve sports prediction models using statistics and machine learning techniques
• Conduct, automate, and evaluate data-driven experiments
• Integrate mathematical and ML models into production workflows
• Participate in hands-on development and coding activities
• Perform code reviews and maintain high engineering and data science quality standards
• Ensure efficient execution and delivery of data science initiatives within the team

Requirements:

• Previous experience in a Tech Lead or team leadership role
• Strong hands-on programming skills in Python
• Advanced knowledge of databases and data processing
• Strong expertise in machine learning, statistics, and probability theory
• Experience building and deploying mathematical or predictive models
• Upper-Intermediate+ level of English
• Ability to balance technical leadership with hands-on engineering work

What we’re looking for:

This is primarily a hands-on engineering role. The main focus is building mathematical models, writing production-level code, and delivering real business impact through data science solutions.

At the same time, the role requires strong coordination skills — the ability to distribute work effectively within the team, support engineers, and ensure successful delivery together with the Engineering Manager.

Successful probation expectations:

During the probation period, we expect the successful delivery of a sports analytics or modeling product through:

• effective team orchestration,
• hands-on contribution to development,
• and high-quality execution of data science workflows.

Ideal candidate profile:

We would love to meet someone who is:

• proactive in communication and information gathering,
• focused on data-driven decision making,
• detail-oriented and demanding when it comes to production quality and best practices.

Also relevant:

• High-load real-time data environments, such as fintech, gaming, marketing analytics, computer vision, or similar domains, working with large-scale data streams.

We offer:

• Ability to work remotely
• Competitive and timely payment for services
• Flexible work schedule
• Personal mentoring and coaching
• Team building and corporate events
• 100% paid sick leave
• 20 working days of paid vacation
• Paid child care leave

We are a high-growth Fintech company dedicated to expanding financial inclusion through mobile-first digital solutions. By leveraging alternative data streams and real-time processing, we provide fast, flexible, and accessible financial tools to underserved markets globally.
 

Our Mission for This Role: In high-frequency Fintech, every transactional data point tells a story. You will analyze borrower behavior, optimize our scoring data pipelines, and directly influence the algorithms that manage financial risk and fuel our growth.
 

Key Responsibilities

• Risk & Credit Analysis: Analyze transactional patterns, repayment behavior, and user demographics to help optimize credit risk models and minimize default rates.
• Funnel Optimization: Deep-dive into product analytics to identify friction points in the digital application and onboarding funnel, improving conversion rates.
• Dashboard Architecture: Build and automate real-time dashboards (using Tableau, Power BI, or Looker) to monitor daily disbursement volumes, collection rates, and portfolio health.
• SQL Querying & Pipeline Health: Write and optimize complex SQL queries to pull multi-million row datasets from cloud data warehouses (e.g., Snowflake, BigQuery) without slowing down production environments.
• Regulatory & Compliance Reporting: Partner with legal and compliance teams to extract accurate data for mandatory reporting and audit trails.
   

Skills & Qualifications

Required (Day-One Essentials)

• Experience: 2–4 years of experience analyzing data within a Fintech, digital banking, or fast-paced transactional consumer app environment.
• Advanced SQL: Absolute comfort with window functions, subqueries, and blending data from unstructured or semi-structured sources (JSON, nested arrays).
• BI Visualization: Proven track record of building production-grade dashboards that non-technical operations teams can use daily.
• Analytical Grounding: Strong understanding of cohort analysis, customer lifetime value (LTV), customer acquisition cost (CAC), and basic probability.
   

Preferred (The "Nice-to-Haves")

• Scripting: Basic Python (Pandas, NumPy) for automating repetitive data-cleaning tasks.
• Fintech Domain Knowledge: Prior exposure to fraud detection patterns, collection metrics, or alternative credit scoring methods.
• Agile Tooling: Experience with dbt, Git workflow, or handling event-driven streaming data (e.g., Mixpanel, Amplitude).

GlenFlow is an international Venture Studio that creates and scales technology companies across AI, enterprise software, automation, and emerging industries. We identify high-potential market opportunities, validate business ideas, and transform them into venture-backed companies.

We are looking for a proficient Venture Analyst to become one of the first members of our venture creation team. You will research industries, identify venture opportunities, validate business ideas, and help design new companies from concept to investment readiness.

Your Responsibilities

1. Market Research

Research global industries, technology trends, customer problems, and high-potential market opportunities.

2. Venture Analysis

Evaluate market size, competitive landscape, business models, commercial potential, technology readiness, and venture-scale opportunities.

3. Customer Validation

Conduct and analyze interviews with English-speaking B2B customers, validate assumptions, and refine venture concepts.

4. Investment Preparation

Prepare investment memos, market analyses, financial models, and present recommendations in English to the internal investment committee.

5. Venture Methodology

Build a repeatable research framework, standardize venture evaluation, and contribute to the firm’s venture creation methodology.

Core Competencies

 • You can identify attractive industries and discover venture-scale market opportunities.

 • You can evaluate market size, competition, customer demand, unit economics, and commercial viability.

 • You can conduct industry research, develop business cases, and prepare investment-grade investment memos in English.

 • You can validate business ideas through structured customer interviews and market analysis.

 • You can recommend whether to launch or reject a venture opportunity based on evidence, market potential, and commercial feasibility.

Preferred Background

Candidates may come from one or more of the following backgrounds:

 • Strategy Consulting (McKinsey, BCG, Bain, Big Four Strategy, or boutique consulting firms)

 • Venture Capital, Private Equity, Corporate Development, or Investment Analysis

 • Product Management or Product Strategy in B2B SaaS, AI, Enterprise Software, or Robotics

 • Founder, Founder Associate, Startup Operator, or Innovation Lead with experience launching new products or businesses

ZentixSoft is looking for a Senior AWS Cloud Data Engineer (Financial Ecosystems) ☁️📊

We are significantly expanding our data engineering and analytics direction for our strategic international partners and are looking for a highly mature Senior Data Engineer to drive cloud-native banking data products.
 

Note: This is an Outstaffing role where you will join a high-impact core data team. 

⚠️ A Quick Note for Applicants: To move forward swiftly, your CV must clearly highlight your hands-on architecture decisions, specific AWS technologies used, data volumes, and the precise banking data products you have delivered.

💡 Why ZentixSoft? 
💸 Salary Review: A structured system of compensation reviews aligned with your expertise and engineering growth. 
🦾 Trust and Transparency: Zero micromanagement and no invasive time-trackers—we fully trust your professional autonomy. 🎁 Gifts & Culture: Corporate gifts for holidays, birthdays, and a true team atmosphere where your voice always matters.
 

If you are ready to architect resilient data solutions for a massive financial ecosystem, here is what our perfect match looks like:

1️⃣ Engineering Seniority: A proven track record of designing, building, and operating large-scale data platforms specifically within the AWS cloud environment. 
2️⃣ FinTech & Banking Domain: Solid experience handling sensitive financial data products (focused on areas like Risk, Compliance, Fraud Prevention, Finance, or Regulatory Reporting). 
3️⃣ Governance Mastery: Deep understanding of banking infrastructure needs, including strict data lineage, quality validation, auditability, and data security. 
4️⃣ Independence: Ability to make standalone architectural and technical design choices, turning raw business requirements into robust, high-volume production pipelines. 
5️⃣ Communication: Fluent English combined with strong stakeholder management skills to align easily with business, tech, and compliance teams.
 

Project Details: 
📍 Location: Primarily remote, with a preference for candidates located in the Baltics (or other EU countries). 
✈️ Work Model: Occasional onsite visits to client offices in the Baltics (approx. once per month for 2–3 days). 
⏳ Duration: Long-term cooperation. 
🚀 Start: ASAP.

Our client is leading supplier of sports analytics to its clients. Using cutting edge Computer Vision and AI/ML technologies, the company provides outstanding real-time sports performance analysis. As an analyst you will be responsible for providing quality statistics for ice hockey games using client's proprietary tools.

Job Description

- Confident PC user (Windows)
- Basic English
- Extensive internet research skills
- Creative problem-solving and analysis skills
- Team player with good interpersonal and solution-oriented attitude
- Readiness to work in shifts (mandatory)
- Stress-resistance
- Ice Hockey knowledge is very beneficial, actual hockey playing skills are not required
- Video gaming experience also useful
 

Job Responsibilities

- Analyze ice-hockey games and record key events as they occur such as successful pass, penetration of offensive zone, faceoff win, etc. (40+ total event types)
- Check the quality of content and do an analysis of quality data
- Work on various data tools and generate information by doing online research
- Provide inputs/content with high quality
- Ability to identify and verify source authenticity
- Solve complex problems in time-bound and effective manner
- Ability to analyze data by doing secondary research