Jobs Data & Analytics

About us:
Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with the organization of the first Data Science UA conference, setting the foundation for our growth. Over the past 9 years, we have diligently fostered the largest Data Science Community in Eastern Europe, boasting a network of over 30,000 AI top engineers.

About the client:
We are working with a new generation of data service provider, specializing in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organizations. The company’s data-driven services are built upon the deep AI expertise the company’s acquired with a 1000+ client base around the globe. The company has 1000 employees across 20 offices who are focused on accelerating digital transformation.

About the role:
We are seeking a Senior Data Engineer (Azure) to design and maintain data pipelines and systems for analytics and AI-driven applications. You will work on building reliable ETL/ELT workflows and ensuring data integrity across the organization.

Required skills:
- 6+ years of experience as a Data Engineer, preferably in Azure environments.
- Proficiency in Python, SQL, NoSQL, and Cypher for data manipulation and querying.
- Hands-on experience with Airflow and Azure Data Services for pipeline orchestration.
- Strong understanding of data modeling, ETL/ELT workflows, and data warehousing concepts.
- Experience in implementing DataOps practices for pipeline automation and monitoring.
- Knowledge of data governance, data security, and metadata management principles.
- Ability to work collaboratively with data science and analytics teams.
- Excellent problem-solving and communication skills.

Responsibilities:
- Transform data into formats suitable for analysis by developing and maintaining processes for data transformation;
- Structuring, metadata management, and workload management.
- Design, implement, and maintain scalable data pipelines on Azure.
- Develop and optimize ETL/ELT processes for various data sources.
- Collaborate with data scientists and analysts to ensure data readiness.
- Monitor and improve data quality, performance, and governance.

Transcenda is a global provider of design and engineering services. We put people first and strive to be agents of change by building a better future through technology. We are dedicated to empowering organizations to rapidly scale, digitally transform, and bring new products to market.

Recognized by Newsweek as one of America’s greatest workplaces of 2025, Transcenda is home to 200+ engineers, designers, analysts, and advisors solving complex business challenges through technology. By approaching our work through a variety of cultures and perspectives, we take calculated risks to design and develop innovative solutions that will have a positive impact tomorrow.

Interesting Facts:

• Over 200 team members
• Fully remote — we let people work where they work best.
• We work with clients who value our opinion and thought leadership, and where we can make a meaningful contribution to architectural decisions, engineering decisions, and product decisions.
• We have a strong social agenda and promote diversity and inclusion, and participate in a variety of charity initiatives throughout the year.
• We have fun team-building activities.
• Since we are rapidly growing, the ability to grow and advance your career is available and at a fairly quick rate.

Must Haves:

• Strong experience with Python, Java, or other programming languages
• Advanced knowledge of SQL, including complex queries, query modularization, and optimization for performance and readability
• Familiarity with the modern data stack and cloud-native data platforms, such as Snowflake, BigQuery, or Amazon Redshift
• Hands-on experience with dbt (data build tool) for data modeling and transformations
• Experience with data orchestration tools, such as Airflow or Dagster

‍

Nice to Have:

• Experience with GitOps, continuous delivery for data pipelines
• Experience with Infrastructure-as-Code tooling (Terraform)

‍

Key Responsibilities:

• Design and build a data platform that standardizes data practices across multiple internal teams
• Support the entire data lifecycle
• Build and maintain integrations across data processing layers, including ingestion, orchestration, transformation, and consumption
• Collaborate closely with cross-functional teams to understand data needs and ensure the platform delivers value
• Document architectures, solutions, and integrations to promote best practices, maintainability, and usability

You’ll take ownership of a large-scale AWS data platform powering analytics for thousands of hotels and restaurants worldwide. This is a hands-on role where your work directly impacts business decisions across the hospitality industry — not internal dashboards nobody uses.

We’re looking for someone who doesn’t just build pipelines — but runs them, fixes them, and makes them bulletproof.

About the Product

A hospitality technology company operating a data analytics platform serving:

• 2,500+ hotels
• 500+ restaurants

The system processes operational and performance data, delivering insights to product and analytics teams who rely on it daily.

Your Mission

Own and operate the AWS data infrastructure:

• Build scalable, production-grade data pipelines
• Ensure reliability, performance, and cost-efficiency
• Keep everything running smoothly in real production environments

This is not a “design slides and disappear” role — it’s real ownership of real data systems.

What You’ll Be Doing

Data Engineering & Pipelines

• Build and operate Spark / PySpark workloads on EMR and Glue
• Design end-to-end pipelines:
  API / DB / file ingestion → transformation → delivery to analytics consumers
• Implement data validation, monitoring, and quality checks
• Optimize pipelines for performance, cost, and scalability

Infrastructure & Operations

• Manage AWS infrastructure using Terraform
• Monitor via CloudWatch
• Debug production failures and implement preventive solutions
• Maintain IAM and security best practices

Collaboration

• Work closely with product and analytics teams
• Define clear data contracts
• Deliver reliable datasets for BI and analytics use cases

Must-Have Experience

• 5+ years of hands-on data engineering in production
  (actual pipelines running in production, not only architecture work)
• Strong Spark / PySpark
• Advanced Python
• Advanced SQL
• AWS data stack: EMR, Glue, S3, Redshift (or similar), IAM, CloudWatch
• Infrastructure as Code with Terraform
• Experience debugging and stabilizing production data systems

Nice to Have

• Kafka or Kinesis (streaming)
• Airflow or similar orchestration tools
• Experience supporting BI tools and analytics teams

What We Care About

• You’ve handled pipeline failures in production — and learned from them
• You prioritize data correctness, not just speed
• You write maintainable, readable code
• You understand AWS cost and scaling trade-offs
• You avoid over-engineering — and ship what delivers value

We are looking for a Data Scientist eager to grow in the field of autonomous systems, with a focus on computer vision, control theory, and data-driven modeling. This role is ideal for someone with strong analytical skills and a passion for applying data science to real-world autonomy challenges.

Key Responsibilities

• Assist in developing vision-based algorithms for perception and navigation.
• Support data analysis and sensor fusion for multi-sensor systems.
• Contribute to modeling and simulation tasks under guidance from senior engineers.
• Work with datasets from cameras, IMUs, and other sensors to extract insights.
• Stay up-to-date with recent research in computer vision, autonomy, and data science.

Required Qualifications

• 2+ years of experience in computer vision or data analysis.
• Understanding of geometric computer vision principles.
• Basic knowledge of control theory, PID controllers, signal processing, and data-driven modeling.
• Programming skills in Python and C++.
• Familiarity with Linux and single-board computers.
• Strong willingness to learn and adapt quickly.
• Relevant work experience or education in STEM field

Nice to Have

• Exposure to SLAM or Visual-Inertial Odometry (VIO).
• Familiarity with OpenCV, NumPy, and basic ML frameworks (PyTorch, TensorFlow).
• Knowledge of ROS2, Gazebo, or AirSim.
• Experience with PX4, Betaflight, or ArduPilot.
• Basic understanding of neural networks and CV frameworks.
• Interest in reinforcement learning or predictive modeling.

We are seeking a Data Scientist with a strong foundation in physics, control theory, and mathematical modeling to join our team working on cutting-edge autonomous systems. The ideal candidate combines analytical rigor with practical experience in modeling, simulation, and algorithm development for autonomous platforms.

Levels: Middle and Senior (responsibilities and scope will be adjusted accordingly).

Key Responsibilities

• Develop and validate mathematical models for autonomous systems and dynamic environments.
• Apply data-driven approaches for system identification, optimization, and predictive control.
• Analyze large datasets from sensors and simulations to extract insights and improve system performance.
• Design and implement algorithms for control, navigation, and decision-making.
• Collaborate with cross-functional teams to integrate models into real-world autonomous platforms.

Required Qualifications

• 3+ years in R&D or applied data science/software development.
• Strong background in mathematical modeling, system identification, and control theory.
• Proficiency in Matlab/Simulink for modeling and simulation.
• Experience in signal processing and data analysis.
• Programming skills in Python and C++.
• Ability to quickly research and apply recent trends in control theory, autonomous systems, and data-driven modeling.
• Relevant work experience or education in STEM field

Nice to Have

• Knowledge of aerodynamics fundamentals.
• Experience with Machine Learning (e.g., reinforcement learning, predictive modeling).
• Familiarity with simulation tools such as Gazebo, AirSim.
• Hands-on experience with SITL/HITL testing.
• Exposure to flight control stacks like PX4, Betaflight, ArduPilot.

We're looking for a Game Analyst to join a product-focused iGaming company.

Our client develops slot games for the international market. The team brings together engineers, analysts, and creative specialists who build gaming solutions for different regions worldwide.

Company Culture:

We move fast, work transparently, and avoid unnecessary bureaucracy. We value people who take ownership, show initiative, and propose solutions rather than wait for instructions. Results and comfortable collaboration matter most.

Key Responsibilities:

• Analyze casino operators and aggregator platforms across different GEOs
• Create detailed reports on top-performing and high-demand games to identify which games (themes/math models) resonate in specific markets and their revenue potential
• Research market trends and player preferences
• Analyze gaming products: slots, live casino, crash games, instant games
• Monitor industry developments and best practices in iGaming

Required Qualifications:

• 3+ years of experience as a Data Analyst or Product Analyst, specifically in iGaming
• Strong understanding of iGaming mechanics: RTP, volatility, freespins, jackpots, bonus features
• Knowledge of key product metrics (LTV, ARPU, retention, DAU/WAU/MAU)
• Ability to analyze A/B test results and apply statistical analysis
• Attention to detail, structured thinking, and the ability to work independently

What We Offer:

• Compensation paid in cryptocurrency
• 100% remote work
• Flexible working hours
• 5-day work week with paid weekends and public holidays
• Minimal bureaucracy – quick decision-making without excessive formalities
• 15 working days of paid vacation + 7 paid sick days
• Growth opportunities based on performance, ambitions, and goals

Selection Process:

• Pre-screening chat – a quick introduction to assess mutual fit
• 30-minute interview with Talent Acquisition – we'll discuss your background, career goals, and expectations
• Interview with the hiring manager – we dive into specifics: your future responsibilities, challenges ahead, and the actual work you'll be doing

About the Product:
 

They build one of the most trusted AI order-taking systems for drive-thrus, designed specifically for high-volume QSR environments and built to scale. Their AI consistently delivers over 93% order completion and 96% accuracy, enabling faster, error-free service across thousands of locations.

Their platform gives brands full control over scripts, upsells, and voice, while allowing franchisees to easily adapt menus, limited-time offers, and regional variations. Built-in labor optimization reduces employee stress and turnover, saves hours of labor every day, and significantly improves the guest experience.

They are growing rapidly and operate the largest number of voice-AI drive-thru deployments in the market, competing directly with both big tech and restaurant technology leaders.

They are now looking for a Staff Engineer to join their Infrastructure team and help shape the backbone of a highly complex, real-time system at scale.

 

About the Role:
 

As a Staff Engineer, you will operate at a high level of ownership and impact, working on systems that are already live in production and used at massive scale.

You will:

• Own and evolve critical parts of the core backend infrastructure -a real-time, distributed system written in Python and Rust
• Lead large technical initiatives end-to-end with minimal guidance
• Troubleshoot and resolve high-severity, complex production issues
• Continuously improve development velocity while maintaining exceptionally high reliability standards

Why You Should Apply

This role is ideal for engineers who want real technical ownership, not just influence on paper.

By joining them, you will:

• Work on mission-critical, real-time systems deployed at massive scale
• Tackle hard infrastructure problems involving networking, performance, concurrency, and reliability
• Have genuine autonomy to design, build, and ship impactful solutions
• Compete technically with top-tier big tech systems while retaining startup-level speed
• Influence architecture decisions that directly affect thousands of real-world locations
• Be part of a team that values deep technical excellence, resilience, and ownership

If you’re looking for a role where your experience truly matters - and where the problems are genuinely difficult - this is it.

Qualifications

• BSc in Software Development or equivalent industry experience
• Previous experience as a Staff or Principal Engineer in a startup environment
• 10+ years of Python development experience
• Strong experience with Python Asyncio
• Excellent software design and architecture skills
• Strong written and verbal communication skills
• Significant experience with at least one strongly typed language (Rust, C++, Go, Swift, Java, etc.)
• Deep understanding of networking protocols and operating systems
• Deep expertise in Python profiling and performance optimization
• Proven experience delivering and troubleshooting production-grade, cloud-based distributed systems
• Experience building and debugging real-time, low-level systems (e.g., kernel, drivers, RTOS)
• Hands-on experience with Kubernetes and Helm
• Experience working with multiple observability stacks
• Strong LLM prompting skills, while also being effective without them
• Experience with gRPC and gRPC troubleshooting
• Contributor or maintainer of an open-source project

Bonus Experience

• Knowledge of WebRTC, STUN/TURN, SIP, RTP, HLS, or RTMP
• Experience with Rust and PyO3
• Audio or voice-related programming experience

Qualities They’re Looking For

• Fast - you aim to be a true 10x engineer, not just another senior profile
• Resilient - comfortable balancing planned work with urgent, real-time issues
• Clear communicator - able to write concise documentation and explain complex ideas
• Strong problem solver with a systems-level mindset
• Extreme ownership and independence
• Ability to turn incomplete or ambiguous requirements into real products
• A collaborative team player who raises the technical bar around them
  
  If you’re passionate about AI, real-time systems, and backend development at scale, we’d love to hear from you!

We are seeking a skilled Data Engineer to join our team and contribute to the development of large- scale analytics platforms. The ideal candidate will have strong experience in cloud ecosystems such as Azure and AWS, as well as expertise in AI and machine learning applications. Knowledge of the healthcare industry and life sciences is a plus.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines for large-scale analytics platforms.
• Implement cloud-based solutions using Azure and AWS, ensuring reliability and performance.
• Work closely with data scientists and AI/ML teams to optimize data workflows.
• Ensure data quality, governance, and security across platforms.
• Collaborate with cross-functional teams to integrate data solutions into business processes.

Required Qualifications

• Bachelor's degree (or higher) in Computer Science, Engineering, or a related field.
• 3+ years of experience in data engineering, big data processing, and cloud-based architecture.
• Strong proficiency in cloud services (Azure, AWS) and distributed computing frameworks.
• Mandatory hands-on experience with Databricks (UC, DLTs, Delta Sharing, etc.)
• Expertise in SQL and database management systems (SQL Server, MySQL, etc.).
• Experience with data modeling, ETL processes, and data warehousing solutions.
• Knowledge of AI and machine learning concepts and their data requirements.
• Proficiency in Python, Scala, or similar programming languages.
• Basic knowledge of C# and/or Java programming.
• Familiarity with DevOps, CI/CD pipelines.
• High-level proficiency in English (written and spoken).

Preferred Qualifications

• Experience in the healthcare or life sciences industry.
• Understanding of regulatory compliance related to healthcare data (HIPAA, GDPR, etc.).
• Familiarity with interoperability standards such as HL7, FHIR, and EDI.

About the Role

We are looking for an Energy Trading Business Analyst to work on new and existing software projects in the energy trading domain. The role focuses on requirements analysis, close collaboration with development teams, and supporting stable production operations.

Responsibilities

• Gather and analyze business and functional requirements
• Prepare BRDs, functional specifications, and use cases
• Translate business needs into clear requirements for development teams
• Collaborate with traders, business stakeholders, and engineers
• Support testing activities and UAT
• Analyze production incidents and support resolution
• Identify and suggest process improvements

Requirements

• Experience as a Business Analyst in Energy Trading / ETRM
• Strong understanding of trading and risk management processes
• Allegro ETRM experience — strong plus
• Experience working in Agile / SDLC environments
• Hands-on experience with JIRA and Confluence
• Fluent English

Tech Stack

• Microsoft Azure
• JIRA, Confluence
• Agile, SDLC
• Execution Management / Trading Systems

Phenomenon Studio is a full-cycle design and development company founded in 2019.
We help startups and small to medium-sized businesses build and scale products across Healthcare, EdTech, SaaS, FinTech, and Web3 industries. 
Recognized with 30+ industry awards, we deliver high-quality solutions that combine creativity, technology, and business impact.

We’re looking for a Business Analyst to join a healthcare project building insurance and employee wellness platforms.

We’re working on an ecosystem consisting of several independent platforms, which are planned to be merged in the future to streamline employer and employee enrollment, data submission to insurance carriers, access to Medical ID cards and insurance benefits, claims submission, etc.

We’re looking for a Business Analyst to work on an Enrollment Portal, a web application that allows employers and employees to fill out and submit digital versions of the Employer Application and Employee Enrollment Application to the insurance provider.

The MVP0 will include the Employer Enrollment Application and an Admin Panel, where admins will review, approve, or deny applications.

Post-MVP0 releases will introduce the Employee Portal, where employees will fill out their own applications, choose insurance plans and benefits for themselves and their families, access useful documents, and track their benefits

Team: 2x Backend Developers, 2x Frontend Developers, Solution Architect, PM, BA, QA, DevOps

Requirements:

• Experience in a similar position of at least 3 years
• English proficiency of at least Upper-Intermediate level 
• Able to dive into a subject field quickly
• Converting ideas into requirements, explaining them in an accessible way to the team, and knowledge base enrichment
• Experience demonstrating/presenting implemented solutions to customers
• Have experience working with task managers (ClickUp/Jira/Asana/Confluence)
   

Nice to have:

• Ability to model and describe business processes using notations (UML, BPMN, eEPC, IDEF)
• Knowledge of teamwork principles and agile development practices
• Understanding of general DevOps principles and the software development life cycle
• Basic code reading/understanding
• Ability to work independently, build business analysis processes on the project from scratch
   

Responsibilities:

• Write user stories, scripts (User Stories, Use Cases)
• Writing documentation, presentations (if necessary). Preparing user documentation according to customer requirements
• Elaborate low-formalized user requirements, capable of decomposing, evaluating, and ranking them (generating MVPs, using USM, Impact mapping)
• Create solution prototypes and test hypotheses as needed; consult and help the UX team to make the interface of applications and web solutions not only the most usable, but also consistent with stakeholder requirements
• Participate in integration, interaction and API design
• Building user-friendly UIs, the ability to prototype UIs at a basic level (in Figma, Bolsamiq Mockups, etc.)

What we offer: 

• Remote work format and flexible schedule
• Autonomy in work, opportunity to build processes, and grow within the company
• Individual development plan and annual performance review
• Workshops and playgrounds for continuous learning
• Compensation for subject-matter training
• Corporate English classes
• Access to IT Loyalty Club
• Accounting support
• 18 working days of annual leave
• 7 working days of sick leave and 7 working days of unpaid leave
• All national public holidays off

Recruitment process: Recruitment interview - Technical interview - Final interview

About the Role:

As a Computer Vision Engineer, you will play a key role in our AI team, designing and building solutions that make legal collaboration seamless and accessible. You will work on a cutting-edge product that leverages computer vision and other advanced AI techniques to support the automotive industry. Our platform, SelfInspection, enables automated vehicle inspections. Users capture photos of a vehicle's exterior, interior, and tires, which are then analyzed by our AI and experts to generate detailed condition reports. The first version of the product is live, and we are actively developing its second iteration.

Responsibilities:
 

• Train, evaluate, and deploy computer vision models for tasks such as instance segmentation, object detection, classification, and tracking
• Improve and optimize existing computer vision models
• Prepare high-quality training datasets using annotated data provided by the annotation team
• Stay current with advancements in the computer vision field to ensure the use of efficient and modern approaches
• Collaborate with C-level stakeholders to define technical requirements and specifications for new features
   

Qualifications:
 

• Minimum of 5 years of hands-on experience in machine learning, computer vision, or a closely related field
• Proven experience in training, evaluating, and optimizing deep learning models for production environments
• Strong background in data collection, preprocessing, augmentation, and annotation workflows
• Bachelor's, Master’s, or Ph.D. degree in Computer Science, Electrical Engineering, Mathematics, or a related discipline (preferred but not required)
   

Skills:
 

• Hands-on experience with deep learning frameworks, particularly PyTorch and/or TensorFlow
• Deep understanding of convolutional neural networks (CNNs), transformers, and core computer vision tasks such as image classification, object detection, segmentation, and tracking
• Proficiency with scientific and image processing libraries such as NumPy, OpenCV, and scikit-learn
• Familiarity with model deployment techniques (e.g., ONNX, TensorRT, TorchScript, TensorFlow Lite) and performance optimization strategies
• Strong problem-solving skills and the ability to decompose complex vision tasks into modular components
• Excellent communication and collaboration skills across both technical and non-technical teams
   

Will be a Plus:
 

• Interest in prototyping and experimenting with new computer vision techniques
• Experience designing AI products from the ground up, with a solid understanding of AI system architecture
   

Required languages
EnglishA2 - Elementary

About Sprinterra
Sprinterra is a friendly and collaborative technology consulting company delivering software solutions for clients across finance, real estate, retail, and other industries. We work on diverse projects - from business process automation to complex enterprise platforms - giving our teams the opportunity to solve different challenges, learn new domains, and grow professionally. Our environment is open, supportive, and flexible: we value clear communication, personal ownership, and teamwork, and we encourage everyone to contribute ideas and help shape how we deliver projects.

Position Overview
We are seeking a strong Business Analyst with Project Management experience (or ambition to move into PM) who can also participate in pre-sales activities and support early-stage client engagements. At Sprinterra, BAs play a key part in shaping our projects from requirements discovery and scope clarification to coordinating the team and supporting delivery.

You will work on small-to-mid-sized projects, ensuring that client needs are fully understood, clearly documented, and translated into actionable tasks for the development team. This role acts as the bridge between business goals and technical execution, helping the team stay aligned, organized, and focused on delivering high-quality results on time and within scope.

Key Responsibilities

• Gather, analyze, and document business and technical requirements through workshops, interviews, and stakeholder discussions.
• Translate business needs into clear, structured artifacts (user stories, acceptance criteria, process flows, functional specs).
• Work closely with designers, developers, and QA to ensure requirements are understood and implemented correctly.
• Validate final deliverables to ensure they meet client expectations and align with defined requirements.
• Manage scope, priorities, and delivery schedules for small-to-mid-size projects.
• Facilitate sprint planning, daily syncs, backlog grooming, and release planning.
• Track project risks, blockers, dependencies, and communicate them proactively to stakeholders.
• Ensure documentation, tracking, and processes are maintained according to Sprinterra best practices.
• Participate in early-stage discussions with potential clients to understand high-level needs and define the problem space.
• Assist Sales in preparing proposals, estimates, project approaches, high-level scopes, and solution descriptions.
• Occasionally support internal initiatives (AI adoption, documentation improvements, operational enhancements).

Qualifications

• 3+ years of experience as a Business Analyst.
• Experience on Team Lead or Project Manager position.
• Solid understanding of Agile methodologies, especially SCRUM (sprint ceremonies, backlog management, estimation practices, team collaboration).
• Strong analytical thinking with the ability to break down complex problems, structure information, and propose practical solutions.
• Excellent communication skills.
• High level of documentation competence: user stories, acceptance criteria, functional specs, diagrams, workflows, and client-facing materials.
• Strong theoretical foundation in SDLC, requirements management, and product development principles with a genuine passion for continuous learning, reading, researching, and staying updated on industry best practices.
• Ability to multitask and manage priorities across several teams or workstreams.
• Experience coordinating with developers, QA, UX, and external stakeholders.
• Self-organized, detail-oriented, proactive, and comfortable working independently.
• Fluent English (spoken and written) or higher - able to manage client communication confidently.

Preferred Skills

• Experience working on projects in the financial or fintech industry - familiarity with regulatory environments, workflows, and financial terminology.
• Technical background (understanding of APIs, data structures, basic system architecture) that supports effective communication with engineering teams.
• Familiarity with enterprise systems such as CRM, ERP, or large-scale business applications.
• Understanding of QA processes and ability to collaborate closely with QA engineers on test planning, acceptance criteria, and release readiness.
• Experience working with UI/UX teams - ability to review wireframes, validate user flows, and ensure alignment between requirements and design.

Requirements

Must-have

• 3+ years of Business Analyst experience on ERP / accounting / operations projects (implementation, optimization, or major enhancements)
• Strong understanding of business process mapping (Order-to-Cash, Procure-to-Pay, Record-to-Report; inventory/manufacturing a plus)
• Working knowledge of accounting fundamentals (GL, AP, AR, cash management, revenue recognition basics)
• Proven ability to write clear requirements artifacts:
• – user stories / acceptance criteria
• – functional specs
• – process flows (BPMN or similar)
• – test cases / UAT scripts
• Experience collaborating with developers and solution architects (translate business needs into functional + data requirements)
• Comfortable with data analysis:
• – Excel (advanced)
• – ability to interpret datasets, reconcile transactions, validate outcomes
• Strong stakeholder skills: run workshops, manage scope, prioritize backlog, communicate tradeoffs
• Excellent written and verbal English

Strongly preferred

• Prior work with any ERP: NetSuite, Dynamics 365, SAP, Oracle, Sage, Odoo, etc.
• Familiarity with reporting concepts: dashboards, financial reporting, management reporting
• Understanding of integrations: REST/SOAP APIs, file imports/exports, middleware concepts
• Experience with implementation partners/VARs and client-facing delivery

Nice-to-have (Acumatica-specific but not required)

• Acumatica experience (Financials, Distribution, Project Accounting, Construction, etc.)
• Knowledge of Acumatica concepts: Screens, GIs (Generic Inquiries), Workflows, Role-based access, Import Scenarios
• Exposure to Acumatica customization model (high level) and release testing

Key Responsibilities

• Become an expert in Acumatica OOTB functionality and recommend best-fit solutions before custom development
• Lead discovery to document as-is processes, define to-be processes, and identify gaps
• Translate business needs into efficient customization designs, focusing on simplicity, maintainability, and upgrade-safe patterns
• Produce developer-ready specs and validate delivered functionality through UAT and regression checks
• Maintain a structured backlog in Jira and ensure clarity of scope, priorities, and acceptance criteria

Learning Expectation

• Willingness to complete structured onboarding and become proficient in Acumatica within 60–90 days (navigation, core modules, workflows, reporting, common configuration patterns)

Description

Our client is a leading innovator in healthcare solutions, focused on delivering advanced products and services to enhance patient care.

Requirements

• Experience Expectations: – 5+ Years
• Must-Have: – Performed Sr. BA/ Proxy PO roles for multiple years, experience in Medical Domain
• Qualification: Engineering Graduate
• Take the lead and client facing role.
• Ensure that the team always has an adequate amount of prior prepared tasks to work on.
• Plan and prioritize product feature backlog and development for the product
• Define product vision, road-map and growth opportunities
• Assess value, develop cases, and prioritize stories, epics and themes to ensure work focuses on those with maximum value that are aligned with product strategy
• Efficiently conducts agile ceremonies involving client stakeholders.
• Provide backlog management, iteration planning, and elaboration of the user stories
• Work closely with Customer Product Management to create and maintain a product backlog according to business value or ROI
• Lead the planning product release plans and set expectation for delivery of new functionalities
• Provide an active role in mitigating impediments impacting successful team completion of Release/Sprint Goals
• Research and analyze market, the users, and the roadmap for the product

• Follow our competitors and the industry

   

Job responsibilities

• Responsible for developing and owning all documentation capturing business and functional requirements
• Collaborate with cross-functional teams to design and propose business solutions
• Engage with the client to understand/develop/articulate business requirements
• Develop business and functional product knowledge and expertise for engaged clients to complement product engineering and design
• Engage with the client to influence and steer decision-related to Product Strategy/Design based on market and customer requirements
• Collaborate with internal teams to develop product based on industry trends and customer needs

🔥 We’re looking for a highly skilled Data Expert!🔥

Product | Remote

​​We’re looking for a data expert who bridges technical depth with curiosity. You’ll help Redocly turn data into insight — driving smarter product, growth, and business decisions.

This role combines data governance and development. You’ll build reliable data pipelines, improve observability, and uncover meaningful patterns that guide how we grow and evolve.

You’ll work closely with product and technical teams to support data collection, processing, and consistency across systems.

What you’ll do 

• Analyze product and user behavior to uncover trends, bottlenecks, and opportunities.
• Build and maintain data pipelines and ETL processes.
• Design and optimize data models for new features and analytics (e.g., using dbt).
• Work with event-driven architectures and standards like AsyncAPI and CloudEvents.
• Collaborate with engineers to improve data quality, consistency, and governance across systems.
• Use observability and tracing tools (e.g., OpenTelemetry) to monitor and improve performance.
• Support existing frontend and backend systems related to analytics and data processing.
• Build and maintain datasets for analytics and reporting.

You’re a great fit if you have 

• 5+ years of software engineering experience, with 3+ years focused on data engineering.
• Strong SQL skills and experience with data modeling (dbt preferred).
• Strong proficiency with Node.js, React, JavaScript, and TypeScript.
• Proven experience in data governance and backend systems.
• Familiarity with columnar databases or analytics engines (ClickHouse, Postgres, etc.).
• Strong analytical mindset, attention to detail, and clear communication.
• Passionate about clarity, simplicity, and quality in both data and code.
• English proficiency: Upper-Intermediate or higher.

How you’ll know you’re doing a great job

• Data pipelines are trusted, observable, and performant.
• Metrics and dashboards are used across teams — not just built once.
• Teams make better product decisions, faster, because of your insights.
• Data pipelines are trusted, observable, and performant.
• You’re the go-to person for clarity when questions arise about “what the data says.”

About Redocly

Redocly builds tools that accelerate API ubiquity. Our platform helps teams create world-class developer experiences — from API documentation and catalogs to internal developer hubs and public showcases. We're a globally distributed team that values clarity, autonomy, and craftsmanship. You'll work alongside people who love developer experience, storytelling, and building tools that make technical work simpler and more joyful.

Headquarter – Austin, Texas, US. There is also an office in Lviv, Ukraine.

Redocly is trusted by leading tech, fintech, telecom, and enterprise teams to power API documentation and developer portals. Redocly’s clients range from startups to Fortune 500 enterprises.

https://redocly.com/

Working with Redocly

• Team: 4-6 people (middle-seniors)
• Team’s location: Ukraine&Europe
• There are functional, product, and platform teams and each has its own ownership, and line structure, and teams themselves decide when to have weekly meetings.
• Cross-functional teams are formed for each two-month cycle, giving team members the opportunity to work across all parts of the product.
• Methodology: Shape Up

Perks

• Competitive salary based on your expertise 
• Full remote, though you’re welcome to come to the office occasionally if you wish.
• Cooperation on a B2B basis with a US-based company (for EU citizens) or under a gig contract (for Ukraine).
• After a year of working with the company, you can buy a certain number of company’s shares
• Around 30 days of vacation (unlimited,  but let’s keep it reasonable)
• 10 working days of sick leave per year
• Public holidays according to the standards
• No trackers and screen recorders
• Working hours – EU/UA timezone. Working day – 8 hours. Mostly they start working from 10-11 am
• Equipment provided – MacBooks (M1 – M4)
• Regular performance reviews

Hiring Stages

• Prescreening (30-45 min)
• HR Call (45 min)
• Initial Interview (30 min)
• Trial Day (paid)
• Offer

If you are an experienced Data Scientist, and you want to work on impactful data-driven projects, we’d love to hear from you! 

Apply now to join our team!