Jobs Data & Analytics

PaySpace Magazine is an expert digital media about innovative financial technologies. It covers fintech, retail, e-commerce, blockchain, cryptocurrency, banks, and startups. 

We are looking for an Middle IT Business Analyst to join our team.
 

Required Skills:

• 4+ years of successful experience in IT, covering the full BA lifecycle: from initial requirements gathering to UAT (User Acceptance Testing) support and maintenance.
• Proven practical experience in making decisions and effectively prioritizing requirements in projects, collaborating with the PM/PO (Project Manager/Product Owner).
• Experience in creating specifications, user stories / use case descriptions, UI prototypes, and UML diagrams.
• Practical experience in API analysis (JSON, XML, webhooks/callback mechanisms), generating technical requirements, and working with tools like Postman / Swagger.
• Proficiency in working with Jira, Confluence, and Postman.
• Basic knowledge of SQL for data validation and testing support.
• Skills in meeting facilitation, requirements clarification, and experience participating in UAT, Demos, and Refinement sessions.
• Ability to clearly articulate requirements in plain language for both business stakeholders and technical teams.
• English — Intermediate+ (for documentation & communication).
• Ability to work with a product that is actively scaling and changing.
   

Will be a plus:

• Experience in Fintech / E-commerce projects: understanding of payment processes, integrations, security, and merchant management.
   

Responsibilities:

• Gathering, analyzing, and structuring requirements for product development.
• Analyzing API documentation and setting up tasks for integration development.
• Communication with stakeholders, business representatives, and development teams.
• Detailed specification of requirements (business, functional, and non-functional).
• Developing user interface (UI) prototypes.
• Handling change requests and assessing their impact.
• Participation in backlog refinement, preparation of UAT scenarios, and supporting the delivery process.
• Maintaining effective interaction and a transparent process within the team.
   

We offer:
— Competitive compensation depending on experience and skills;
— Remote-first work environment with flexible working hours;
— 20 paid vacation days annually for rest and recharge;
— 20 days of sick leave, available as needed;
— Corporate English classes;
— Professional development support.

Join an exciting journey to create a cutting-edge Consumer Data Lake for a leading global organization based in Europe. This platform will unify, process, and leverage consumer data from various systems, unlocking advanced analytics, insights, and personalization opportunities. As a Senior Data Engineer, you will play a pivotal role in shaping and implementing the platform's architecture, focusing on hands-on technical execution and collaboration with cross-functional teams.

Your work will transform consumer data into actionable insights and personalization on a global scale. Using advanced tools to tackle complex challenges, you’ll innovate within a collaborative environment alongside skilled architects, engineers, and leaders.

Key Responsibilities:

• Hands-On Development: Build, maintain, and optimize data pipelines for ingestion, transformation, and activation.
• Create and implement scalable solutions to handle diverse data sources and high volumes of information
• Data Modeling & Warehousing: Design and maintain efficient data models and schemas for a cloud-based data platform.
• Develop pipelines to ensure data accuracy, integrity, and accessibility for downstream analytics.
• Collaboration: Partner with Solution Architects to translate high-level designs into detailed implementation plans.
• Work closely with Technical Product Owners to align data solutions with business needs.
• Collaborate with global teams to integrate data from diverse platforms, ensuring scalability, security, and accuracy.
• Platform Development: Enable data readiness for advanced analytics, reporting, and segmentation.
• Implement robust frameworks to monitor data quality, accuracy, and performance.
• Testing & Quality Assurance: Implement robust security measures to protect sensitive consumer data at every stage of the pipeline
• Ensure compliance with data privacy regulations (e.g., GDPR, CCPA ..) and internal policies.
• Monitor and address potential vulnerabilities, ensuring the platform adheres to security best practices.

Requirements:

• Over 4+ years of experience showcasing technical expertise and critical thinking in data engineering.
• Hands-on experience with DBT and strong Python programming skills.
• Proficiency in Snowflake and expertise in data modeling are essential.
• Demonstrated experience in building consumer data lakes and developing consumer analytics capabilities is required.
• In-depth understanding of privacy and security engineering within Snowflake, including concepts like RBAC, dynamic/tag-based data masking, row-level security/access policies, and secure views.
• Ability to design, implement, and promote advanced solution patterns and standards for solving complex challenges.
• Familiarity with multiple cloud platforms (Azure or GCP preferred, with a focus on Azure).
• Practical experience with Big Data batch and streaming tools.
• Competence in SQL, NoSQL, relational database design (SAP HANA experience is a bonus), and efficient methods for data retrieval and preparation at scale.
• Proven ability to collect and process raw data at scale, including scripting, web scraping, API integration, and SQL querying.
• Experience working in global environments and collaborating with virtual teams.
• A Bachelor’s or Master’s degree in Data Science, Computer Science, Economics, or a related discipline.

At c3 we're building a spatial intelligence data layer. We're a startup based in the UK, and are building an engineering team to focus on research and development of our proprietary models. 

Ideally we are looking for someone with: 

Multi-session SLAM / map merging / long-term localization / 3D registration experience

Ideal past experience:

Autonomous-driving mapping, warehouse/robot localization, AR persistent maps, LiDAR map differencing, construction progress monitoring, digital twins, or long-term robotics localization.

Requirements

* Strong background in 3D computer vision and geometric perception: point clouds, meshes, depth maps, coordinate transforms, registration, visibility/occlusion reasoning, and spatial change detection.

* Hands-on experience with real RGB-D / LiDAR / depth-sensor data. You should have dealt with noisy depth, incomplete scans, moving objects, partial overlap, and sensor/calibration errors.

* Strong understanding of 3D registration, including ICP variants, robust/global registration, geometric descriptors, RANSAC/TEASER++-style approaches, and failure detection.

* Experience solving multi-session or temporal mapping problems: comparing the same physical environment captured at different times.

* Familiarity with SLAM / visual-inertial odometry. You should understand accumulated drift, scale error, loop closure, and how errors in scan generation propagate downstream.

* Strong Python and PyTorch skills, with experience building production-quality evaluation and inference pipelines.

* Experience with learned feature matching such as LightGlue, SuperGlue, LoFTR, or equivalent is useful, particularly for cross-scan registration.

* Experience with synthetic data generation / simulation for augmentation and controlled failure-case generation.

* Robotics, autonomous systems, mapping, AR/VR, drones, or defence perception experience is highly relevant.

* Fluent English.

* Kyiv-based preferred; hybrid or remote considered.

What you will do

* Build a robust scan0 -> scan1 registration pipeline that aligns mostly-static structure while remaining insensitive to moved furniture and other transient objects.

* Handle partial overlap, occlusion, missing observations, drift, and scale differences between scans.

* Build temporal change detection that distinguishes:

    * object removed / added,

    * object moved,

    * surface or condition changed,

    * area unchanged,

    * area not observable / insufficient evidence.

* Develop visibility and free-space reasoning so that “not seen” is not incorrectly classified as “gone.”

* Build multi-stage registration using geometric and learned features, followed by robust local refinement.

* Define confidence / failure detection for registration and comparison results rather than forcing a result from bad scans.

* Develop condition/defect classification and severity scoring once geometric correspondence is sufficiently reliable.

* Create synthetic perturbations and generated training/evaluation data covering known failure modes.

* Own evaluation against ground truth, including registration success rate, false positive/negative change detection, localization accuracy, and uncertainty calibration.

* Evaluate alternative scene representations, including 3D Gaussian Splatting, NeRFs, TSDFs, occupancy/SDF representations, where they materially improve temporal comparison.

Performa is an international HR agency specializing in connecting top talent with leading companies across the iGaming, IT, and Marketing industries. We help businesses scale their teams and support professionals in finding opportunities where they can unlock their full potential.

Our client is a product-driven iGaming startup developing a new White Label product for a Tier-1 market. The team is currently being built around this new project, with a small core team already in place. The product is in the final stage of preparation for launch.

We are looking for a Head of Analytics who will build and develop the company’s analytics function and establish a strong data-driven approach to product and business decision-making.

Key Responsibilities

• Build and develop the company’s analytics function.
• Establish a system of metrics, reporting, and dashboards.
• Analyze product and business performance, identify growth opportunities, and provide actionable insights.
• Work with large volumes of data and help the business make informed, data-driven decisions.
• Collaborate closely with Product, Marketing, CRM, Finance, and other teams.
• Develop and improve analytics processes across the company.

• Manage and develop the analytics team as needed.

   

Requirements

• Mandatory experience in iGaming.
• Proven experience in a Senior, Lead, or Head of Analytics role.
• Strong understanding of product analytics and business metrics.
• Experience building and developing analytics processes.

• Strong leadership skills and a systematic approach to work.

   

What We Offer

• Office-based position in Limassol or fully remote.
• Competitive compensation paid in USDT.
• Paid vacation and sick leave.
• Opportunity to join an iGaming product at the pre-launch stage and directly contribute to its development.
• High level of ownership and strategic influence.

Title: AI Engineer
Reports to: Principal AI Architect
Department: AI & Advisory
Location: Ukraine – Remote
Term: Full-Time

About Atlas Technica

Atlas Technica’s mission is to shoulder IT management, user support, and cybersecurity for our clients, who are hedge funds and other investment firms. Founded in 2016, we have grown year over year through our uncompromising focus on service.

We value ownership, execution, growth, intelligence, and camaraderie. We are looking for people who share our Core Values, thrive, and contribute to this environment while putting the customer first. At Atlas Technica, we offer a competitive salary, comprehensive benefits, and great perks to our global Team. We strive to maintain a professional yet friendly environment while promoting professional and career development for our Team Members. Join Atlas Technica now!

Position Overview

We are seeking an AI Engineer to join our growing AI & Advisory team in Ukraine. This is a hands-on engineering role focused on building, integrating, testing, and deploying AI-enabled applications and enterprise solutions for sophisticated client environments.

Working under the technical direction of a Principal or Senior AI Architect, the AI Engineer will translate approved architecture and security decisions into working software, integrations, deployment patterns, tests, and technical evidence. This role will build rapid proofs of concept while also helping move successful solutions toward secure, maintainable, and supportable production use.

The successful candidate will combine strong software engineering fundamentals with practical AI, Azure, integration, and security experience. This is not a research-only or prompt-engineering role; we are looking for an engineer who enjoys writing production-quality code, solving complex integration challenges, testing assumptions, and delivering reliable technical solutions.

Position Responsibilities:

• Build rapid proofs of concept and production-ready components for AI-enabled research, data access, document analysis, workflow automation, reconciliation, and internal application use cases
• Develop, review, refactor, test, and maintain application code using Python and other supported development technologies
• Build and integrate REST APIs, MCP components, connectors, webhooks, databases, enterprise applications, and data-integration services
• Connect AI-enabled workflows with Microsoft 365, SharePoint, Microsoft Graph, enterprise data stores, third-party platforms, and approved AI services
• Implement retrieval and data-processing solutions using embeddings, vector or hybrid search, metadata filtering, indexing, and access-aware patterns
• Deploy and operate applications within Microsoft Azure using approved hosting, identity, storage, database, networking, security, and deployment patterns
• Build repeatable development and release processes using Git, CI/CD, Docker, automated testing, and infrastructure automation
• Implement appropriate authentication, authorization, role-based access, secrets management, logging, monitoring, environment separation, and other security controls
• Test AI solutions for reliability, security, model failure, prompt injection, inappropriate data access, unsafe tool use, dependency failure, and other production-readiness risks
• Participate in architecture reviews, code reviews, client technical sessions, troubleshooting, production-readiness assessments, and technical handoffs
• Maintain clear implementation documentation, diagrams, runbooks, testing evidence, and technical decisions while proactively communicating blockers, scope changes, and delivery risks
• Contribute reusable code, deployment templates, testing approaches, connector patterns, and engineering standards to Atlas Technica’s Ukraine-based AI capability

Requirements:

• 5+ years of professional software engineering experience, including recent hands-on work with AI-enabled applications, cloud applications, data systems, or enterprise integrations
• Strong Python development skills with experience building APIs, services, scripts, applications, or data workflows
• Experience with at least one additional production development stack such as C#/.NET, TypeScript/Node.js, Java, or a comparable technology
• Hands-on Microsoft Azure experience across application hosting, identity, storage, databases, secrets management, logging, monitoring, and deployment
• Practical experience with LLM APIs, agentic workflows, retrieval-augmented generation (RAG), embeddings, structured outputs, prompt design, and model limitations
• Experience building or integrating APIs, connectors, MCP components, databases, data platforms, or enterprise workflow systems
• Strong understanding of authentication, authorization, role-based access control, least privilege, environment separation, and secure secrets management
• Experience with Git, CI/CD, Docker, automated testing, production troubleshooting, and modern software-development practices
• Ability to write clean, maintainable, and testable code and clearly explain technical and implementation decisions
• Strong problem-solving, ownership, documentation, and follow-through skills with the ability to work effectively in a remote and collaborative delivery environment
• English proficiency at B2 level or higher, with the ability to participate effectively in technical client discussions and produce clear written documentation

Desirable Qualities:

• Experience with Azure AI Foundry, Azure OpenAI, Azure AI Search, Microsoft Agent Framework, or comparable AI orchestration technologies
• Experience with Microsoft Graph, SharePoint Online, Microsoft Entra ID, Microsoft 365, Copilot Studio, or Power Platform
• Experience with technologies such as Azure Functions, Azure Container Apps, App Service, Azure SQL, PostgreSQL, Cosmos DB, Snowflake, or similar data and application platforms
• Experience developing evaluation datasets, regression tests, or other approaches for testing non-deterministic AI components
• Experience moving prototypes, internally developed applications, vendor solutions, or citizen-developed applications toward controlled production use
• Experience supporting financial services, regulated industries, enterprise clients, or other environments with strong security and compliance requirements
• Relevant Microsoft Azure, AI, software engineering, or cloud certifications
• Experience creating reusable engineering patterns, mentoring junior engineers, or contributing to engineering standards and technical knowledge sharing

About the Company
Sales'Up is a leading Creatio implementation partner, helping enterprise clients across FMCG, Agro, Finance and Pharma transform their business processes. Over 8+ years, we've delivered 100+ successful CRM projects and built our own industry-specific products: Data Management, FMCG Management, and Agro Management — used by market leaders. We're a team of 50+ professionals, growing fast and building a culture where modern AI tools are part of everyday work. Join us to work on complex, real-world enterprise challenges and grow together!

Role
We are looking for a Middle/Senior Business Analyst to join our team and work at the intersection of business needs and technical solutions. You'll run discovery sessions directly with enterprise clients, translate their real business problems into clear, actionable requirements, and see your analysis shape solutions used by market leaders in FMCG, Agro and Finance.

Main Responsibilities

• Learning the company's products and their configuration
• Requirement gathering: identifying client needs and expectations, analyzing their business processes
• Analysis and documentation: developing documentation that describes functional and technical requirements for the system
• Defining technical solutions: collaborating with technical specialists to develop and choose optimal solutions
• Project coordination: ensuring communication between the development team and the client, tracking project progress
• Testing and validation: verifying CRM system compliance with requirements and validating the finished product with the client
• User training: organizing and conducting training for end users
• Support and improvement: post-implementation consulting support, results analysis, and improvement proposals
• Presenting developed solutions to the client

Requirements

Experience & Education

• 3+ years of experience as a Business Analyst in IT
• Experience on CRM projects (Creatio, Salesforce, Microsoft Dynamics, SAP CRM, etc.) — significant advantage

CRM & Business Process Knowledge

• Understanding of CRM system logic: sales funnel, sales pipeline, customer journey, case management
• Experience in business process analysis and modeling (BPMN — required)
• Understanding of industry specifics — a plus

Documentation & Artifacts

• Experience preparing FRD, User Stories, Use Case Specifications
• Experience conducting gap analysis (comparing requirements against existing functionality/estimates)
• Ability to prepare technical specifications clear to both the client and the development team

Communication & Soft Skills

• Experience conducting discovery sessions and client interviews
• Ability to structure and document discovery call outcomes (pain points, requirements)
• Fluent spoken and written Ukrainian, confident technical English (Upper-Intermediate or higher)
• Ability to present solutions and defend the analytical position in front of the client
• Experience conducting end-user training

Technical Skills

• Understanding of CRM integration principles with adjacent systems (ERP, accounting systems)
• Basic understanding of the no-code/low-code approach to business logic customization

AI Tools in Analyst Work

• Experience with or willingness to actively use Claude (and other AI tools) to accelerate analytical work: drafting FRD/User Stories, analyzing discovery call transcripts, gap analysis, preparing estimates
• Ability to write clear, effective prompts to get quality, structured output
• Critical thinking when working with AI-generated content — fact-checking and adapting it to the project's and industry's context

Domain Knowledge (will be a plus)

General CRM Domains (advantage)

• Understanding of the sales cycle: lead generation, qualification, sales funnel, opportunity management, sales forecasting
• Understanding of customer service/support processes: case management, SLA, omnichannel
• Basic understanding of marketing automation: segmentation, email/SMS campaigns, lead scoring
• Understanding of document flow and approval processes (workflow, approval processes)

Industry Expertise (advantage)

• Agri-trading: contracting specifics, pricing, supply logistics, working with elevators/counterparties
• Retail / Distribution: assortment matrix, distributor network management, discount and promo management, logistics and warehouse accounting
• Banking / financial services: compliance requirements, scoring processes, credit application handling (a plus, if applicable)

We Offer

• Competitive salary
• Professional development through internal and external training programs
• Transparent model of professional and career growth
• Option to work in the office or remotely
• 24 days of paid vacation
• English language courses

We are a product company building AI-powered mobile applications used by over 10 million people in 150 countries. We own the entire product lifecycle — from the initial idea to large-scale global implementation. We thrive in a fast-paced environment, making data-driven decisions without unnecessary bureaucracy. If you value autonomy, rapid releases, and seeing the direct impact of your work, you will fit right in.
 

The Role

We are looking for a Senior DevOps Engineer to take full ownership and leadership of the infrastructure for our ambitious project in the Cloud Gaming & Streaming space.

In this role, you will architect, scale, and maintain a high-performance, fault-tolerant system provisioning and streaming content across a server fleet growing from hundreds toward thousands of machines. You will lead infrastructure decisions, set technical standards, build key systems (like observability and bare-metal orchestration) from scratch, and mentor a Mid DevOps Engineer on the team.
 

Work Format & Relocation

• Location: Dubai, UAE (Office).
• Trial Period: First 2–3 months are fully remote for a smooth onboarding.
• Relocation Support: Full corporate visa sponsorship and relocation package provided after the trial period.
   

Key Responsibilities

• Fleet Architecture & Provisioning: Architect and automate end-to-end bare-metal and virtualized host provisioning — storage, GPU passthrough (vfio), and VM lifecycle across a large, heterogeneous server fleet.
• Orchestration & Scale: Design and maintain fleet-scale orchestration systems: parallel deployments, health checks, and self-healing routines ensuring consistency across thousands of machines.
• Infrastructure as Code & Configuration: Lead IaC practices using Terraform and Ansible to maintain reproducible host configurations, deterministic automation, and VM images.
• Advanced Virtualization & OS Administration: Deeply manage Linux/KVM virtualization (libvirt, QEMU) and Windows guest systems, including complex GPU passthrough and low-latency virtual networking.
• Greenfield Observability: Architect and implement the observability stack from scratch (Prometheus, Grafana, Loki/ELK) across the entire fleet for deep performance monitoring and alerting.
• Network & Traffic Management: Design and optimize network configurations at scale — NAT, port forwarding, routing, and traffic paths for thousands of concurrent, low-latency streaming clients.
• CI/CD & Deterministic Automation: Build robust CI/CD pipelines (GitLab CI / GitHub Actions) for infrastructure code, images, and deterministic scripting (Bash, Python, PowerShell).
• Security & Storage: Implement enterprise-grade secrets management (Vault / SOPS) and manage large-scale content distribution via S3-compatible object storage (e.g., Cloudflare R2).
• Leadership & Incident Response: Set reliability engineering standards, drive incident response/on-call processes, and collaborate closely with core C++/C# infrastructure engineers.
   

Requirements

• Experience: 4+ years in a DevOps / Infrastructure role with proven experience building and managing large-scale, high-load systems or large server fleets (dozens/hundreds+ of nodes).
• OS & Virtualization Expertise: Deep administration skills in both Linux and Windows; practical expertise with KVM/libvirt, QEMU, and GPU passthrough / vfio.
• IaC & Configuration Management: Strong hands-on experience with Terraform and Ansible for host consistency, image management, and fleet-wide automation.
• Scripting Mastery: High proficiency in Python, Bash, or PowerShell with the ability to write deterministic, idempotent, and restart-safe automation scripts across heterogeneous hardware.
• Networking & Observability: Strong grasp of Linux networking (NAT, iptables, routing, traffic shaping) and experience standing up monitoring/logging stacks (Prometheus, Grafana, Loki/ELK) from scratch.
• CI/CD & Security: Experience automating infrastructure via GitLab CI/GitHub Actions and managing secrets at scale (Vault, SOPS).
• Language: English (Upper-Intermediate / B2 or higher — required for technical collaboration).
   

Nice-to-have

• Direct experience in Cloud Gaming, real-time data streaming, or high-load gaming environments.
• Hands-on experience with GPU-heavy workloads and large-file distribution via object storage (S3 / Cloudflare R2).
• Basic knowledge of C++ or C# to collaborate effectively with core streaming infrastructure developers.
   

What We Offer

• Architectural Greenfield & Autonomy: Full ownership to design the fleet observability, orchestration, and automation architecture from zero.
• Leadership & Real Impact: Direct influence on the tech stack of a Cloud Gaming platform targeting a global, multi-million user audience.
• Relocation Package: Full financial and organizational support for your move to Dubai (corporate visa, flight tickets, initial housing) after the trial period.
• Modern Office: Work from a vibrant, tech-driven workspace in Dubai alongside a strong engineering team.
• Fast-Paced Culture: A product-driven environment with quick decision-making, high engineering freedom, and zero bureaucracy.
• Compensation: Highly competitive USD-pegged salary matching your senior technical background.

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.

We are looking for a Business Analyst to work in a cross-functional environment, involving iOS, Android, and Backend teams and collaborating closely with Product, Design, Engineering, Analytics, and other stakeholders.
 

Your impact:
 

• Translate business needs into clear, complete, and actionable requirements.
• Independently drive requirements gathering, analysis, and refinement end-to-end — proactively identifying gaps, exploring possible approaches, and helping shape the solution together with Product and Engineering teams.
• Gather and analyze requirements, proactively identifying ambiguities, gaps, dependencies, edge cases, and potential risks.
• Lead and facilitate grooming sessions to refine and de-risk product requirements before development starts.
• Develop and maintain documentation (PRD, User Stories, Acceptance Criteria) written with the end reader in mind — precise, non-contradictory, and genuinely usable by engineers, QA, and products.
• Work closely with cross-functional stakeholders to build a shared understanding of the problem and solution.
• Effectively manage multiple parallel tasks, maintain important context and commitments, and proactively communicate risks and blockers.
• Use AI tools to support research, analysis, requirements refinement, and documentation while critically validating AI-generated outputs and taking ownership of the final result.
   

About you:
 

• 3+ years of experience as a Business Analyst
• Experience working with B2C digital products and/or products with a large user base.
• Strong requirements analysis skills and attention to detail, with the ability to turn ambiguous needs into clear and actionable requirements.
• Demonstrated ownership mindset: comfortable taking a task from ambiguous input to a finished, reliable deliverable with minimal supervision.
• Strong attention to detail, especially when managing multiple parallel workstreams.
• Solid understanding of the Software Development Lifecycle, including how frontend/mobile and backend systems interact.
• Strong communication and documentation skills, with the ability to explain complex concepts clearly to both technical and non-technical stakeholders.
• Hands-on experience with AI tools and ability to effectively incorporate them into everyday BA activities while critically evaluating their output.
• English level — Upper Intermediate.
   

Nice to have:
 

• Experience working with mobile products.
• Experience in healthtech, wellness, or fitness products.
• Familiarity with UX/UI design principles and Figma.
   

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.
Time off & balance. 20 paid vacation days, paid sick leave, and additional days off around public holidays.
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.
 

PwC is a global network of more than 370,000 professionals in 149 countries that turns challenges into opportunities. We create innovative solutions in audit, consulting, tax and technology, combining knowledge from all over the world.

PwC SDC Lviv, opened in 2018, is part of this global space. It is a place where technology is combined with team spirit, and ambitious ideas find their embodiment in real projects for Central and Eastern Europe.

What do we guarantee?

• Work format: Remote or in a comfortable office in Lviv - you choose.
• Development: Personal development plan, mentoring, English and Polish language courses.
• Stability: Official employment from day one, annual review of salary and career prospects.
• Corporate culture: Events that unite the team and a space where everyone can be themselves.

PwC Cloud & Digital team supports global cloud projects across Cloud Strategy, Migrations, Data Analytics, and DevOps. We help clients adopt cloud infrastructure, modernize data platforms, and optimize operations.

Your future role:

• Building data platforms (data warehouses, lakes, lakehouses) using Azure Databricks, MS Fabric, Azure Data Factory.
• Designing data flows using medallion architecture and supporting data migrations from legacy systems.
• Conducting data assessments with Data Modelers/Analysts and addressing data quality issues.
• Working with senior stakeholders to gather requirements and support modern data architecture design.
• Supporting Data Governance activities, especially around MDM and Data Quality.
• Understanding Data Science/Analytics use cases in industries like Consumer Goods, Retail, Manufacturing, or Financial Services.

Apply if you have:

• 4+ years of experience in Data Engineering or related fields (BI, Data Science).
• Hands‑on experience with Databricks, Snowflake, BigQuery, MS Fabric.
• Experience building data warehouses/lakehouses with Azure Data Factory / Synapse.
• Skills in PySpark/Python and SQL.
• Some exposure to CI/CD (Azure DevOps, Jira).
• B2+ English and ability to prepare technical documentation.
• Experience using modern tech and AI tools in daily work.

Nice to have:

• Cloud certifications (Azure/AWS/GCP) and Data Governance certifications.
• Training via platforms like Coursera/Udemy/Datacamp.
• Knowledge of data modelling (e.g., Kimball), Data Strategy, Data Quality, and MDM.
• Experience with Agile (Scrum), ML/GenAI use cases, or Agentic AI for data automation.
• Work with senior stakeholders (e.g., CDOs) in Manufacturing, Consumer Goods, or Financial Services.
   

Policy statements:
https://www.pwc.com/ua/uk/about/privacy.html

🏢 About The Company
Physician's Choice started with the simple idea that better health starts with the gut. In just 8 years, we have become the #1 Probiotic Brand in the US. Our products are available in Walmart, Target, CVS, Sam's Club, Amazon, TikTok Shop, and many other retailers across the United States.
Our mission is to empower everybody to make confident wellness choices, guided by physician expertise and validated by real results. Join our passionate team and help shape the future of one of America's fastest-growing wellness brands.

💼 About The Role
Physician's Choice is looking for a passionate, analytical, and results-driven Retail Planning Manager to join us on our mission of becoming the #1 Gut Health Brand in the US.
As our Retail Planning Manager, you will own inventory planning and retail demand execution across our rapidly expanding omnichannel business. You will ensure the right inventory is available at the right place, at the right time, while balancing customer service, inventory investment, production capacity, and business priorities.

This role partners closely with Sales, Amazon, Supply Planning, Logistics, Operations, Finance, and our contract manufacturing partners. You'll translate customer demand into executable inventory plans supporting both retail partners and ecommerce channels.

Requirements
🎓 Bachelor's degree in Supply Chain, Business, Operations, Economics, Finance, Engineering, or a related field.
📈 5+ years of experience in Retail Planning, Demand Planning, Inventory Planning, Supply Planning, or within the CPG industry.
🛒 Experience supporting large national retailers such as Walmart, Target, Sam's Club, Costco, CVS, Walgreens, Kroger, or similar accounts.
📦 Strong understanding of retail replenishment, demand forecasting, inventory management, and S&OP (Sales & Operations Planning).
💼 Experience working in omnichannel businesses supporting both Retail and Ecommerce operations is preferred.
📊 Advanced Microsoft Excel skills, including data analysis and reporting.
⚙️ Experience with ERP systems, planning software, and BI tools is preferred.
🤝 Excellent analytical, communication, and cross-functional collaboration skills.
🌍 Ukrainian or Russian language skills are a plus, but not required.

What You'll Do
📦 Retail Demand & Inventory Planning
• Own inventory planning and forecasting across key retail partners (Walmart, Sam's Club, Target, CVS, HEB, Rite Aid, iHerb, Vitacost, etc.).
• Maintain healthy inventory levels while minimizing stockouts and excess inventory.
• Align production plans with customer demand and inventory needs.

🛒 Omnichannel Inventory Strategy
• Manage inventory allocation across Retail, Amazon, Walmart Marketplace, TikTok Shop, DTC, and Wholesale.
• Optimize inventory distribution to maximize sales and profitability.
• Recommend allocation strategies during supply constraints.

🎯 Retail Execution & Customer Readiness
• Ensure inventory readiness for launches, promotions, and seasonal programs.
• Monitor retailer service metrics, scorecards, and inventory performance.
• Identify supply risks and implement mitigation plans.

📊 Sales & Operations Planning (S&OP)
• Lead demand planning inputs for the monthly S&OP process.
• Present forecasts, risks, and recommendations to leadership.
• Drive alignment across Sales, Supply Chain, Operations, and Finance.

📈 Forecasting & Analytics
• Track key KPIs including forecast accuracy, inventory turns, service levels, and OTIF.
• Analyze sales trends, demand drivers, and forecast performance.
• Build reports, dashboards, and planning models to support decision-making.

🤝 Cross-Functional Collaboration
• Partner with Sales, Marketing, Finance, Operations, Logistics, and Supply Planning teams.
• Coordinate with manufacturers, warehouses, and logistics partners.
• Communicate inventory risks and recovery plans across stakeholders.

⚡ Continuous Improvement
• Enhance forecasting processes and planning methodologies.
• Develop SOPs, reporting tools, and dashboards.
• Support ERP and planning system improvements.

Benefits:
🌍 Work for an international company focused on the US market
⏰ Timely salary payments
💰 Bonuses
🎓 Courses and training at the company’s expense
🏖 Paid vacations, sick days, holidays off days
📈 Possibility of developing your career and mastering adjust professional fields
🧾 Official employment
🛒 Free access to company products
🧠 Corporate psychologist services
🚀 Interesting project and continuous growth every day


🚀 Ready to Make an Impact?
If you're a data-driven Retail Planning professional who thrives in a fast-paced consumer products environment and enjoys turning complex inventory challenges into scalable solutions, we'd love to hear from you.

This is a fantastic opportunity to join a fast-growing company at the heart of the digital revolution. Our software product is revolutionising manufacturing through automation. We are trusted by global brands and work across sectors (mobility, consumer goods, machinery etc).

We have a talented and ambitious team. We value integrity and are passionate about our mission to revolutionise advanced manufacturing.

This is your opportunity to:

• Be part of an AI product company in advanced manufacturing.
• Be part of a research focused team.

Responsibilities: 

• Research, test and develop generative AI based solutions.
• Collaborate with mechanical engineers to enhance your research.
• Design and implement end-to-end AI solutions that integrate with existing systems.
• Collaborate with software engineers and product teams to understand business needs and translate them into technical solutions. 
• Research emerging AI trends and techniques to continually improve the AI solution offerings. 
• Prepare and maintain documentation on design, code, and processes to ensure organizational knowledge retention. 
• Monitor and evaluate the performance of AI systems in production, identifying areas for improvement or further development.

You will be joining a well-versed team if you have:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field. 
• Proven experience in developing generative AI or machine learning models.
• Commercial experience in using large language models.
• Programming skills in languages such as Python or JavaScript.
• Familiarity with databases (SQL, NoSQL). 
• Solid understanding of deep learning, NLP, computer vision, or other specialized areas within AI is a plus. 
• Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.
• Good communication skills and the ability to translate complex technical concepts to non-technical stakeholders. 
• Commitment to continuous learning and development in the field of AI and emerging technologies.

Benefits:

• 4 days per week from our office in Kyiv.
• military exemption (in the process of implementation).
• quarterly performance bonus.
• 20 days paid holiday.
• 8 paid sickdays.
• quarterly social.
• $500/year training budget.
• IT secured laptop (tracking/anti-fraud system).

Reporting and Analytics BI team covers company-wide corporate reporting needs. Interacting with internal clients (Luxoft Executive, Engineering and Corporate functions management teams) we build Tableau reporting and data analysis covering different internal Luxoft processes and practices.
Our work is not just to produce dashboards and code, but, together with the business, dive into the essence of key processes and create an advantage for the company in the global market using data-driven decision making. The results energize us to set the bar higher and build best-in-class BI Project.
Our team is around 20 people and looking to expand. We use Tableau / Power BI as the main dashboarding tools and connect MS SQL database where we store most of the data

• Responsibilities:

  BI Reports Development
  • Exploring the data from corporate systems and development the layer of reliable data sources together with the DWH team
  • Design & development of outstanding dashboards and performing UAT with a customer
  • Taking care of technical documentation that really helps customers to understand reports and allows the team to manage the content in efficient way
  • Release preparation and presenting results to end-users
  Project management
  • Take part in regular syncs with customers on backlog prioritization, blockers, and fast-tracks resolving
  • Take part in collecting and merging requirements from different customer groups
  Development of data & analytics services
  • Drive companywide projects like data catalog, self-service BI, glossary etc.
  • Work on BI efficiency initiatives like access management and design excellence
  • BI Governance - monitoring of background tasks (extracts, subscriptions, etc.), reports adoption & user's behavior

• Mandatory Skills Description:

  Analyst-engineer-dashboardologist-designer - all qualities are presented and one is pronounced
  2+ year hands on experience with one of BI tools such as Tableau, Qlik, Power BI, etc.
  Strong skills in SQL
  Bachelor's Degree or higher education level
  Strong data analysis skills
  Good presentation and data visualization skills
  Great attention to details, structured and analytical approach, critical and logical thinking

We are looking for a Trainee Big Data Engineer who is interested in starting a career in Data Engineering.

You will join an experienced data engineering team and have the opportunity to learn how data is collected, processed, transformed, and prepared for analytics. You will work with Python, SQL, and modern Big Data technologies while receiving guidance and support from experienced engineers.

Commercial experience is not required - we are happy to consider candidates with knowledge gained through university studies, courses, internships, or personal projects. This is a great opportunity to gain practical experience with real-world data and learn how modern data engineering solutions are built.

Responsibilities:

• Assist with building and maintaining data pipelines.
• Work with data from different sources.
• Help clean and transform data.
• Write basic SQL queries.
• Use Python for data processing.
• Participate in data quality checks and troubleshooting.
• Learn and work with Big Data technologies such as PySpark / Apache Spark.
• Collaborate with experienced Data Engineers and Data Analysts.
• Learn and apply best practices in data engineering.

Requirements:

• Basic knowledge of Python.
• Basic knowledge of SQL.
• Basic understanding of relational databases.
• Understanding of basic data processing and ETL/ELT concepts.
• Familiarity with data structures and algorithms.
• Basic understanding of cloud computing.
• Strong interest in Data Engineering and Big Data.
• English — Upper-Intermediate (B2) or higher.

Would Be a Plus:

• Basic knowledge of PySpark / Apache Spark.
• Familiarity with Palantir Foundry or Databricks.
• Understanding of data warehouses or data lakes.
• Basic knowledge of data modeling.
• Experience with Git.
• University degree or ongoing studies in Computer Science, Data Engineering, Mathematics, or a related field.
• Academic, personal, internship, or course projects related to Python or Data Engineering.

Senior Data Engineer
 

We’re a London-based fintech on a mission to help banks and small businesses thrive in a digital-first economy. Founded in 2017, we bring together the energy and flexibility of a high-growth scale-up with the backing of global financial institutions. Our cloud-based platform powers end-to-end merchant services for banks, combining payments and business banking into one seamless experience. We partner with trusted names like NatWest (Tyl by NatWest), NAB (NAB Hive) and Truist (Truist Merchant Engage) in the United States to help their small business customers grow and succeed.
 

We’re a close-knit team of designers, engineers, and financial services experts who care deeply about what we build and how we work together. We value curiosity, collaboration, and making things better every day. Whether you’re technical, creative, or commercial, you’ll find space here to do your best work, develop your skills, and be part of something meaningful. We’re headquartered in London and expanding our team in South Africa – and we’d love for you to be part of the journey.
 

The role
 

As a Senior Backend Engineer in Data, you will own one or more components of our backend microservice applications. You will join the team that builds and maintains the data ingestion pipelines that turn raw banking and transactional data into actionable insights.
 

This is a great opportunity to get full exposure to the entire tech stack involved in building data pipelines for ingestion, data persistence and data APIs powering our micro-frontends at scale. We have a fun environment with a high level of responsibility, autonomy, trust and transparency and work very closely with the product development and business teams.
 

Responsibilities
 

• Design and implement scalable ingestion pipelines that work in both streaming and batch modes.
 

• Integrate with third-party APIs, banks and payment processors to ingest transactional data.
 

• Write production-quality code in Java 21 (Spring Boot) to develop microservices and data integration endpoints.
 

• Use reactive frameworks (Spring WebFlux) where needed for asynchronous processing.
 

• Operate and optimise Kafka-based streaming workflows and event-driven architectures.
 

• Implement large-scale data processing jobs on Azure Databricks with Spark (Scala/Python) to transform and aggregate data. Optimise Spark jobs for performance and cost efficiency on Azure.
 

• Design and maintain schemas in MS SQL Server and ensure data models are efficient for queries and analytics.
 

• Ensure data quality and governance: validation, schema evolution, lineage and monitoring.
 

• Expose data via APIs and data products consumed by micro-frontends and reporting tools.
 

• Embed pre-built data science solutions into the data estate.
 

• Provide Level 3 support for production issues.
 

• Collaborate closely with product, engineering and business teams to translate requirements into production-ready pipelines.
 

What we are looking for
 

• Expert in Java 21+ with Spring and Spring Boot.
 

• Hands-on experience with messaging and streaming platforms. Apache Kafka (or equivalent) experience is required – our pipelines ingest high-volume events in real time. Knowledge of Azure Event Hubs (Kafka-compatible) is also acceptable.
 

• Proficient in T-SQL with experience on MS SQL Server.
 

• Good software design and coding practices. Familiar with unit/integration testing (JUnit, Cucumber), version control (Git), and agile methodologies.
 

• Strong problem-solving, communication, and teamwork. Able to translate complex data requirements into reliable technical solutions.
 

• Eager to learn new big data and cloud technologies and keep your skills up to date.
 

• Enthusiastic about finding creative ways to solve problems and curios to explore new areas.
 

Nice-to-Have Skills
 

• Experience with big data on Microsoft Azure. Comfortable using Azure Databricks/Spark, and Azure storage (Blob/SQL/Cosmos).
 

• Exposure to Scala or Python is a plus for Spark jobs.
 

• Experience with Spring WebFlux (reactive programming) is highly desirable.
 

• Ability to containerize applications (Docker) and deploy/manage them in Kubernetes clusters.
 

• Familiar with NoSQL/database technologies; we use Cosmos DB for scalable, multi-region data.
 

• Experience with Terraform or similar tools to provision cloud resources. Familiar with CI/CD practices (we use GitOps/ArgoCD pipelines).
 

• Exposure to logging/monitoring stacks (ELK/Elastic, Prometheus/Grafana) and performance testing tools (K6, JMeter).
 

• Interest or experience in emerging AI/ML tools and LLMs (e.g. Ollama LLM) as the company explores intelligent analytics.
 

Who we are looking for
 

• Ideally someone who has worked for a Fintech start-up.
 

• Starter-finisher attitude to manage work.
 

• Strong verbal and written English communication skills.
 

• Comfortable working outside of rigid structures and frameworks.
 

• Effective working in ambiguous environments.
 

• You are a team player and can work cross-team - for instance with business-minded staff, designers, product owners, and everything in between.
 

• Actively mentors and supports others, sharing knowledge, guiding junior engineers, and contributing to a strong engineering culture.
 

• Builds alignment and influence, fostering trusted relationships and helping teams make better technical and product decisions.
 

What we stand for
 

• We believe we are better together when we listen, engage and support each other, we want you to bring your expertise and experience to work every day.
 

• We are passionate about what we are doing and want you to share this with us, enjoy your time with us, stay calm under pressure and bring positive energy to the team.
 

• We are all on a journey together, we want your ambition and flexible mind set to embrace the twists and turns as we grow as a business.
 

Your wellbeing and professional growth is important to us. If you join Pollinate, you can expect:
 

• Access to career coaching, life coaching and therapy from our employee experience partners Plumm.
 

• Access to Pluralsight for Engineering roles or a Growth Budget to develop your learning.
 

• Flexible hybrid working where our hub is used for team or collaboration meetings and company get togethers.
 

As part of Pollinate, you’ll be working with experts across payments, technology, customer experience, and financial services, supported by a world-class network of partners. Join us to be a key part of a team that’s changing the future of payments, with the freedom to make your mark. Together, we’ll push the boundaries of what’s possible with payment enabled merchant services for SMB’s around the world.
 

This Job Description covers the main areas of your responsibilities - it is not an exhaustive list.
 

About the project
We’re working with a US-based (New York) proptech/govtech startup building the system of record for NYC affordable-housing compliance — a platform that takes a housing project from approval, through the lottery, to staying compliant year after year. Their AI review pipeline is already in production, processing real applications for real buildings. Lots of messy real-world documents, deterministic regulatory logic, and an AI layer that does the volume while experts handle exceptions.

It’s a long-term, stable cooperation with a small, high-ownership, high-collaboration team.

Cooperation

• GIG or B2B contract
• Full-time, long-term

• Remote, US-market focus

   

What you’ll do

• Own features end-to-end: spec, data model, migrations, backend services, pipelines, and UI
• Build LLM-powered document intelligence (extraction, classification, gap detection) over messy real documents — scans, spreadsheets, handwriting
• Design and run eval loops that make AI shippable: golden datasets from expert feedback, regression guards in CI
• Draw the line between AI and deterministic code — LLMs classify/extract/suggest; anything filed with a regulator runs through pure, unit-tested policy logic

• Ship Python services (FastAPI, Postgres, event-driven) and React/TypeScript frontends

   

Requirements

• 5+ years building and operating production software (senior product engineer)
• Strong Python (FastAPI, Pydantic, SQLAlchemy, Postgres)
• Real, hands-on LLM/GenAI experience: prompt pipelines with structured outputs, evals, OCR/document processing, agents — features that survived real users
• Frontend with React + TypeScript
• AI-native workflow: you use AI/coding agents to write most of your code and know how to verify their output
• Comfortable with ambiguity and defining fuzzy problems yourself
• Rigorous engineering: TDD, audit trails, verification

• English B2+ (comfortable communicating with the team)

   

Nice to have

• Proptech, fintech, govtech, or legaltech (regulated, document-heavy domains)
• Event-driven architecture (outbox pattern, streams, idempotent consumers)
• Experience migrating a business off a legacy system while it stayed live (e.g. Salesforce)

• Built eval infrastructure or human-in-the-loop review systems

   

Interview process

1. Hiring manager screen (background, ownership, how you work with AI)
2. Coding screen — a realistic task from the domain (bring your AI tools)
3. AI system design — a loosely defined real problem
4. CEO conversation