Jobs Data & Analytics

We are currently looking for a Middle+ / Senior Data Engineer to join our Analytics Department and contribute to the development of the company’s analytical platform.

The main focus of the role is developing and optimizing our ClickHouse-based Data Warehouse, designing reliable ETL/ELT processes, and improving the overall data architecture.

Your main goal: build and maintain a scalable, reliable, and high-performance data infrastructure that supports the company’s analytics and business needs.

What experience is important to us:

• At least 3 years of experience in Data Engineering, Analytics Engineering, DWH development, or a similar role.
• Expert-level ClickHouse: DWH schema design, engines, partitioning, indexing, Materialized Views, optimization of complex JOINs and aggregations, system log analysis.
• Advanced SQL skills.
• Strong Python skills for pipeline development and automation.
• Hands-on experience with Apache Airflow, including DAG development, maintenance, and monitoring.
• Experience with REST APIs, Webhooks, and S3-compatible storage (MinIO / AWS S3).
• Confident knowledge of Linux, Git/GitHub, and Docker.
• Experience with Prometheus & Grafana.
• English at B1–B2 level.
• Strong systems thinking, independence, and ownership.

Will be a plus:

• Experience in iGaming, FinTech, or E-commerce.
• Experience designing and building a DWH from scratch.
• Experience with high-load ClickHouse environments.
• Basic understanding of Apache Kafka.

What you will do:

• Develop and maintain the company’s ClickHouse-based DWH, including architecture, data layers, and data marts.
• Design and optimize storage schemas and high-load analytical processes.
• Develop and maintain ETL/ELT pipelines in Apache Airflow and ensure their reliability.
• Optimize resource-intensive processes and analytical queries.
• Build and maintain integrations with internal and external data sources.
• Work closely with business, analytics, and engineering teams to formalize requirements and implement solutions.
• Handle ad hoc data requests and research datasets.
• Improve data engineering standards, maintain technical documentation, and reduce technical debt.

The position is full-time and fully remote. Due to security requirements, daily work is performed within a protected environment via remote desktop (WDS/RDS).

Interested?

If you have strong expertise in ClickHouse, SQL, Python, and Airflow, enjoy solving complex data infrastructure challenges, and want to influence how a growing analytical platform is built and scaled — we’d love to talk.

Apply for the role or reach out directly to learn more about the team, infrastructure, and challenges.

Project description

We are looking for a Regular DevOps / Cloud Infrastructure Engineer to support infrastructure automation, environment deployment, and GitOps-based delivery.

Responsibilities

Own the Terraform infrastructure

API Gateway routes, Lambda functions, IAM roles, EC2, DynamoDB tables, SQS queues, AWS Workspaces .etc

Design and maintain Python Lambda handlers that integrate with Active Directory/LDAP, GitLab, JFrog Artifactory, and the AWS SDK, handling KMS-encrypted secrets and SSM parameters.

Run and troubleshoot the Jenkins deployment pipeline across environments (plan / create / destroy / test).

Keep integration tests healthy and add coverage for new endpoints.

Manage secrets and access control

Jenkins credentials, KMS key permissions, API keys stored in SSM.

Solid Ansible skills for authoring and maintaining idempotent playbooks, roles, and inventories across Linux and Windows hosts.

Strong Linux administration skills, including shell scripting, package and service management, systemd, networking, and troubleshooting.

Skills

Must have

Hands-on experience with AWS or Azure.

Experience with Terraform and infrastructure-as-code.

Knowledge of networking: VPC, subnets, routing, security groups, NAT, private endpoints.

Experience with IAM roles and policies.

Experience with Jenkins, GitLab CI/CD or Azure DevOps Pipelines.

Ability to troubleshoot complex cloud deployments.

Good communication and documentation skills.

Nice to have

PowerShell for Windows / AD / Workspaces helper scripts.

JFrog Artifactory REST API

permissions, replication, tokens, storage.

Windows Server administration, RSAT, and SSM Run Command.

Bedrock and SageMaker service familiarity.

About the Client

Our client is a leading global healthcare organization, driving innovation in pharmaceuticals, biotechnology, and patient-centric solutions.

We develop advanced data and analytics solutions that help global organizations turn complex data into intuitive digital tools, enabling teams to make informed decisions in their daily operations and long-term strategy. Our projects span modern operational applications, interactive dashboards, and advanced analytics platforms designed to deliver actionable insights across multiple business domains.

About the Role

We are looking for a proactive and analytical Market Research Analyst to support strategic decision-making in the aesthetics medicine industry, with a focus on the Facial Injectables market.

The role involves conducting market, industry, competitor, financial, digital, and brand research, identifying relevant trends and opportunities, and translating research findings into clear, actionable insights for senior and executive leadership.

The successful candidate will work with both quantitative and qualitative information, research companies and markets using multiple sources, identify meaningful patterns and business implications, and communicate findings through structured analyses and executive-level presentations. The scope of the role may evolve depending on business priorities and emerging research needs.

Key Responsibilities

• Conduct market, industry, competitor, and company research to support strategic decision-making.
• Monitor competitor activities, product developments, strategic initiatives, geographic expansion, investments, and other relevant market developments.
• Analyze company financial performance, including revenue dynamics, business segments, margins, cost structure, and profitability drivers.
• Research competitor digital presence, brand positioning, messaging, PR strategies, product focus, and audience engagement across relevant channels.
• Monitor industry trends, emerging players, high-growth segments, industry events, and other market signals to identify risks and opportunities.
• Synthesize information from multiple sources into clear, actionable business and strategic insights.
• Prepare PowerPoint presentations and executive-level reports communicating key findings, trends, implications, and recommendations.
• Use existing Power BI dashboards and other analytical tools to support research and analysis.
• Maintain structured research materials, trackers, datasets, and research libraries.
• Conduct ad hoc research and analysis and support other market research initiatives as business priorities evolve.
• Organize all collected intelligence into a document library for future AI ingestion.
• Proactively suggest improvements to research methodologies, data sources, and analytical processes.

Required Skills & Experience

• 4+ years of experience in market research ( competitive intelligence, business analysis, strategy, consulting, or a related analytical role).
• Relevant experience in pharmaceuticals, medical devices, aesthetics medicine, healthcare, or a closely related industry is required.
• Proven experience conducting market, industry, company, or competitor research and analyzing both quantitative and qualitative information.
• Experience analyzing financial performance, business models, market dynamics, or similar business metrics.
• Strong PowerPoint and Excel skills.
• Ability to independently structure research, identify relevant and reliable sources, and synthesize findings into clear business insights.
• Excellent written and spoken English.
• Strong attention to detail, organization, and accuracy.
• Proactive and self-motivated, with the ability to work independently and communicate findings clearly to senior stakeholders.

Nice to have

• Experience with Power BI or other data visualization tools
• Experience analyzing digital and social media presence, brand positioning, or PR strategies.
• Experience preparing presentations and reports for senior or executive leadershi

We are the creators of a new fintech era!
Our mission is to change this world by making blockchain accessible to everyone in everyday life. WhiteBIT is a global team of over 1,200 professionals united by one mission — to shape the new world order in the Web3 era. Each of our employees is fully engaged in this transformative journey.
We work on our blockchain platform, providing maximum transparency and security for more than 8 million users worldwide. Our breakthrough solutions, incredible speed of adaptation to market challenges, and technological superiority are the strengths that take us beyond ordinary companies. Our official partners include the National Football Team of Ukraine, FC Barcelona, Lifecell, FACEIT, and VISA.

The future of Web3 starts with you: join us as a Business Analyst.

Requirements:

— 3+ years of experience as a Business Analyst, Product Manager, or Product Owner in a crypto or fintech product company.
— Hands-on experience with user onboarding flows.
— Experience working with third-party integrations and external service providers.
— Experience with analytics, user funnels, funnel optimization, and conversion-related metrics.
— Ability to work with complex and high-risk tasks, identifying the best acceptable solution considering business, technical, regulatory, and risk-related constraints.
— Strong ability to decompose high-impact solutions into clear, manageable delivery steps.
— Experience in delivery planning, prioritization, and coordination of product or operational changes.
— Ability to manage several contexts and initiatives simultaneously without losing focus on priorities.
— Strong communication skills, with the ability to clearly align expectations, explain solutions, and manage stakeholder communication.
— Experience participating in product discovery, including analysis of new scenarios, flows, and business needs.
— Experience communicating with involved stakeholders, conducting demos, presenting solutions, and setting up operational flows.
— Upper-intermediate written and verbal English communication skills (B2+ level).

Responsibilities:
— Be deeply involved in the Onboarding direction, covering the user journey from Visit to First Deposit.
— Analyze and optimize user funnels, including registration, email and phone verification, KYC/KYB, onboarding, activation, and deposit scenarios.
— Prepare functional requirements, user stories, acceptance criteria, and other product documentation required for development.
— Describe business logic for Web, Mobile, and Admin Panel solutions.
— Document API interactions and integration logic together with technical teams.
— Work on integrations with external services and third-party providers.
— Conduct requirement walkthroughs with development teams to ensure a clear understanding of scope, logic, dependencies, and expected outcomes.
— Participate in the discovery of new product initiatives, including analysis of user needs, business goals, risks, and possible implementation approaches.
— Prepare solution proposals for stakeholders, taking into account regulatory requirements, risks, technical feasibility, and business impact.
— Decompose solutions according to product strategy, risk level, regulatory requirements, and delivery priorities.
— Maintain and update the roadmap of onboarding improvements and related product changes.
— Synchronize solutions between two or more services, ensuring consistency of logic, user experience, and implementation approach.
— Identify impacted services and coordinate or delegate the necessary updates to the responsible teams.
— Conduct demos, presentations, kick-offs, and other alignment meetings with stakeholders and delivery teams.
— Define relevant stakeholders for each initiative and ensure clear, timely communication throughout the delivery process.
— Analyze scope, dependencies, and potential impact of proposed changes.
— Identify, highlight, and communicate risks related to product solutions, implementation, regulatory requirements, or operational processes.
— Act as an internal customer for updates in other projects when changes impact the onboarding direction.
— Conduct competitor analysis for new onboarding scenarios, product flows, and user journey improvements.

Would be a plus:
— Experience working with regulatory requirements, AML, Compliance, or Legal-related processes.

Work conditions:
Immerse yourself in Crypto & Web3:
— Master cutting-edge technologies and become an expert in the most innovative industry.
Work with the Fintech of the Future:
— Develop your skills in digital finance and shape the global market.
Take Your Professionalism to the Next Level:
— Gain unique experience and be part of global transformations.
Drive Innovations:
— Influence the industry and contribute to groundbreaking solutions.
Join a Strong Team:
— Collaborate with top experts worldwide and grow alongside the best.
Work-Life Balance & Well-being:
— Modern equipment.
— Comfortable working conditions and an inspiring environment to help you thrive.
— 24 calendar days of paid leave.
— Additional days off for national holidays.

Experience: 4+ years
Project Duration: September 14, 2026 – September 1, 2027
Format: Remote
Location: Poland

About the Project

We are looking for a Data Engineer to join a core data team supporting a strategic client engagement.

The role combines application maintenance and support (AMS) with new development, providing an opportunity to work across the full data lifecycle. The main focus will be on data transformation, data warehousing, and dimensional modeling within a modern cloud-based data platform.

You will work closely with business stakeholders to understand data requirements, translate them into technical solutions, and deliver high-quality, scalable data products.

Responsibilities

• Work across the full data lifecycle, combining AMS activities with new development
• Collaborate with business stakeholders to understand data requirements and translate them into technical solutions
• Develop scalable and high-quality data products within a cloud-based data platform
• Perform data transformation, data warehousing, and dimensional modeling
• Apply Data Vault 2.0 concepts and data warehouse design principles
• Contribute to data integration and ETL/ELT processes
• Analyze and optimize SQL queries and data processing performance

Requirements

• 4+ years of experience in Data Engineering or Data Warehousing projects
• Strong hands-on experience with Snowflake
• Advanced SQL skills, including complex query development and performance optimization
• Experience with data transformation and dimensional modeling
• Knowledge of Data Vault 2.0 methodology and data warehouse design principles
• Ability to gather business requirements and translate them into effective technical solutions
• Experience working directly with business stakeholders and non-technical users
• Familiarity with data integration and ETL/ELT processes
• Strong analytical and problem-solving skills
• Good English communication skills (minimum B2, preferably C1)

Tech Stack

• Data Engineering
• Data Warehousing
• Snowflake
• SQL
• Data Vault 2.0
• ETL / ELT

We’re looking for a Business Analyst to bridge the gap between complex insurance business needs and AI-driven solutions. In this role, you’ll translate business requirements into clear, actionable functional specifications, map critical workflows, and serve as the primary liaison between business stakeholders and technical delivery teams.

Responsibilities:

• Partner with insurance business units to identify, prioritize, and define high-impact AI use cases
• Translate complex business problems and legacy insurance rules into detailed functional requirements and user stories
• Map, analyze, and optimize end-to-end business workflows to uncover automation opportunities
• Facilitate design sessions and requirement-gathering workshops that bring together business stakeholders and technical squads
• Define objective User Acceptance Testing (UAT) criteria and validate that delivered AI models meet performance targets
• Conduct gap analyses to ensure new AI capabilities integrate seamlessly with existing customer-facing channels

Required Skills:

• Proven experience as a Business Analyst in the insurance domain, with strong knowledge of insurance products, workflows, and legacy business rules
• Demonstrated ability to translate ambiguous business problems into structured functional requirements and user stories
• Strong process mapping and workflow optimization skills (e.g., BPMN or equivalent methodologies)
• Experience facilitating cross-functional workshops between business and technical stakeholders
• Solid understanding of UAT design and validation, including defining acceptance criteria for AI/ML-driven solutions
• Analytical mindset with experience conducting gap analyses across business and technical systems
• Excellent stakeholder management and communication skills, with the ability to act as a key interface between business and engineering teams
• Familiarity with AI/ML solution delivery lifecycles is a strong plus

Recruitment process

1. Pre-screening Interview with Recruiter (up to 45 minutes)
2. Internal Tech Interview (1-1,5 hour)
3. Client Interview (1-1,5 hour)
4. Final Interview (1-1,5 hour)

Overview

FutureMedia is building a centralized data platform for a portfolio of subscription-based digital products. We are looking for a hands-on Senior Data Engineer who can combine data engineering, platform thinking and strong delivery ownership. The role will help build Databricks on AWS, design reliable ingestion from private PostgreSQL estates and SaaS/API sources, standardize fragmented product and payments data, and deliver governed Bronze/Silver/Gold datasets for analysts and business stakeholders.
 

Why this role is interesting
 

• Greenfield platform: the engineer will shape standards, patterns and technical decisions rather than inherit a mature warehouse.
• Real platform challenge: distributed PostgreSQL databases run across private AWS/EKS environments and were built by different product teams.
• High-leverage first domain: the payments service is standardized across products and will be the first portfolio-wide model.
• Direct business impact: revenue, subscriptions, churn, LTV, CAC, product funnels and attribution.
• Close partnership with DevOps, Product/Backend teams, Data Analysts and business stakeholders.
   

Target platform

Infrastructure is managed through Terraform/IaC and Git-based review; Data Engineering code remains in the Data Platform repository.

What the Senior Data Engineer will own
 

• Build and operate Databricks on AWS together with the Data and DevOps teams.
• Develop reusable ingestion patterns from PostgreSQL, S3, APIs, webhooks and SaaS platforms.
• Implement incremental loads, historical backfills, idempotent reprocessing and schema-change handling.
• Design and maintain Bronze, Silver and Gold layers in Delta Lake.
• Unify payments data across products: users, subscriptions, transactions, refunds, chargebacks and renewals.
• Normalize product-specific schemas into common analytical entities and source-of-truth models.
• Build Databricks Jobs/Workflows, monitoring, freshness checks, reconciliation and data-quality controls.
• Contribute to Unity Catalog, groups, permissions, service principals and governance.
• Contribute infrastructure changes through Terraform and pull-request workflows.
• Optimize Databricks compute, SQL workloads and storage for reliability and cost.
• Work with Product/Backend teams to understand tables, relationships and business logic.
• Support analysts and stakeholders with trusted data marts for Payments, Marketing, Product, Finance and C-level reporting.
   

Candidate profile
 

Must have
 

• Strong production Data Engineering experience
• Advanced Python and SQL
• Hands-on Databricks + Spark/PySpark
• AWS experience (especially S3/IAM basics)
• PostgreSQL / relational data ingestion
• Incremental pipelines, backfills, idempotency
• Data modelling / medallion architecture
• Data quality, monitoring and troubleshooting
• Git and CI/CD
• Comfortable in a greenfield, ambiguous environment
   

Strong advantage
 

• Terraform / Infrastructure as Code
• Unity Catalog
• Databricks Workflows / Lakeflow
• AWS networking / VPC / EKS understanding
• CDC, AWS DMS or Debezium
• Subscription / payments data
• Stripe, Adyen, SolidGate or other PSPs
• Marketing / attribution data
• dbt
• Experience defining platform standards
  
   

First outcomes

• Platform foundation live: AWS + Databricks + S3 + Unity Catalog + Terraform/IaC.
• First end-to-end ingestion pattern proven and productionized.
• Payments domain onboarded and unified across products.
• Core Gold models available for revenue, subscriptions, churn and LTV.
• Repeatable product onboarding pattern documented.
• Monitoring, reconciliation, CI/CD and cost controls operating in production.

Bulls Media is looking to hire a strong BI developer and data analyst.

The role involves both data analytic and technical skills : gathering data , developing tools and dashboards, evaluating data and sharing findings that affect business decisions. 

Responsibilities:

• Working with different company departments and setting business requirements for BI tools
• Translating business requirements into technical ones
• Suggesting technical options to meet the requirements and creating an BI architecture. Providing time estimation
• Leading and executing BI software development, deployment, and maintenance: 
• Creating Power BI reports based on client requirements 
• Taking data from different data sources : databases, internal and external API, google sheets and more
• Developing different visualization levels and dashboards
• Maintaining and optimizing existing reports
• Ensuring data correctness
• Testing reports of other BI developers
• Creating technical documentation for BI tools
• Evaluating data, collating findings relevant to the business, and sharing them in a manner that can bring about an effective change in a business:
• Breaking down key business data: gather, clean, and analyze data
• Interpreting the data: Find patterns or see areas in the data that signal a potential for improvement in business practices

• Sharing findings:visualizing data in graphs and charts, recommendations to improve or grow the business based on their findings

   

Requirements:

• At least 2 year experience in a BI developer & data Analyst role
• Experience with PowerBI including a good knowledge of DAX
• Deep knowledge of SQL Databases and SQL script optimisation
• Good knowledge of excel / Google sheet (formulas)
• Experience with Python
• Non relational database - advantage
• Advanced analysis and problem solving skills
• Attention to detail
• The ability to work both as a team player and independently
• Ability to multitask in a fast-paced environment
• Self learning abilities
• Excellent communication skills with ability to effectively interface with technical and nontechnical staff at all organizational levels
• Fluent in English

Location: Europe only
Employment type: Full-time, Remote
 

About the Role

We're looking for a Middle/Senior Generative AI / Machine Learning Engineer to help build production-grade AI systems from classical ML and deep learning models to modern LLM-powered applications. 
You'll work across the full lifecycle: designing and training models, building RAG and agentic pipelines, and deploying everything into scalable, well-architected production systems.

This role blends hands-on ML engineering with GenAI/LLM development, MLOps, and data engineering, ideal for someone who enjoys working across the stack rather than staying in one narrow lane.
 

What You'll Do

• Design, train, and deploy classical ML and deep learning models (PyTorch, TensorFlow/Keras, scikit-learn) for tasks such as time series analysis, anomaly detection, forecasting, and optimization.
• Build production LLM applications: RAG pipelines, embeddings, semantic search, document processing, and chunking strategies.
• Develop AI agents and multi-step workflows using LangChain, LangGraph, and MCP (Model Context Protocol).
• Apply prompt engineering best practices to improve reliability and output quality of LLM-based systems.
• Deploy and serve models using Docker, Kubernetes, and FastAPI/Flask.
• Build and maintain data pipelines (ETL/ELT) using Apache Airflow, Spark/Databricks, and BigQuery, with a focus on data quality.
• Contribute to system architecture decisions — applying principles like Domain-Driven Design, event-driven architecture, and microservices to build highly available, distributed systems.
• Work with cloud infrastructure, primarily Azure (AWS experience is a plus); experience with Azure OpenAI is a strong advantage.
   

What We're Looking For

Core:

• Strong Python skills with solid experience in classical ML and deep learning (PyTorch, TensorFlow/Keras, scikit-learn).

GenAI / LLM:

• Hands-on experience building production LLM applications: RAG, embeddings, chunking, semantic search, document processing.
• Experience with LangChain, LangGraph, AI agents, and MCP (Model Context Protocol).
• Solid understanding of prompt engineering.

Machine Learning / Data Science:

• Experience with deep learning and classical ML techniques applied to time series, anomaly detection, forecasting, and optimization problems.

MLOps / Deployment:

• Experience with Docker, Kubernetes, and model serving via FastAPI or Flask.

Data Engineering:

• Experience with ETL/ELT processes, Apache Airflow, Spark/Databricks, BigQuery, and building reliable data pipelines with strong data quality practices.

Cloud:

• Experience with Azure (preferred); AWS experience is a plus. Experience with Azure OpenAI is an advantage.

Architecture / System Design:

• Familiarity with architecture frameworks and practices such as TOGAF, C4, ArchiMate, Domain-Driven Design, event-driven architecture, high availability, distributed systems, and microservices.

We offer:

• Remote Work Environment. Work from anywhere and be part of a geographically diverse team;
• Stay Ahead of the Curve. Work with cutting-edge technologies;
• Possibility to influence on processes;
• Paid 16 vacations and 14 sick leaves per year;
• Flexible working hours;
• Possibility of payment by FOP, or Payoneer/Wise;
• Compensation program for purchasing new laptops;
• Paid professional certifications & educational courses;
• Paid English classes;
• Friendly atmosphere with quarterly team buildings;
• No bureaucracy.
   

We respect your time, so inform in advance that the hiring process includes a 2-step interview:

• General interview
• Technical interview

Please note that a background check (reference check) is a mandatory stage of our interview process for this role.
 

Ready to try your hand? Do not pull the cat’s tail and send your CV without a doubt!

For those candidates who don’t get any feedback after applying: We are so thankful for your time and attention to our vacancy! However, sometimes we get too many CVs at once, and it would take several days to answer them all. That’s why we reach out only to relevant candidates. We hope for your understanding.

Project Description:

We are seeking an RPA Developer for our client to join a multidisciplinary team that includes frontend and backend developers, data engineers, data scientists, QA engineers, cloud engineers, and project managers. The ideal candidate is a strong problem solver who can work independently in a fast-paced, evolving environment. Experience with Power Automate Desktop and the broader Power Platform is highly desirable, along with familiarity with Blue Prism. A working knowledge of Python and SQL is required—while deep expertise is not necessary, these technologies should be well understood and not new to the candidate.

Responsibilities:

• Design, develop, and deploy RPA solutions using Power Automate and Blue Prism

• Implement and configure RPA software robots to execute tasks and streamline processes

• Collaborate with cross-functional teams to integrate RPA solutions with existing systems and applications.

• Troubleshoot and resolve issues related to RPA processes and bots in a timely manner.

• Conduct unit testing and validation of RPA solutions to ensure accuracy and reliability.

• Stay updated on the latest RPA trends, tools, and best practices.

Mandatory Skills Description:

Core must-have for this position (tech stack):

- Power Automate: Cloud flows and desktop flows. 2y+ experience with Power Automate Desktop. Ability to build complex workflow orchestration, integrate with APIs, databases, and enterprise systems, and handle long-running or stateful processes.

- Microsoft Power Platform: End-to-end understanding of the broader ecosystem.

- Blue Prism: Proven experience, particularly in the context of migration or transition initiatives.

- Programming background: Optional, but beneficial; examples include C#, Python, or similar languages.

Skills:

- Overall experience in a related field of more than 7 years

- Bachelor's degree in Computer Science or a related field.

- Environment strategy: Familiarity with Dev, Test, and Prod environment practices.

- Python programming skills

- Proficient with SQL

- Proficient with Python or C#

- Excellent problem-solving and troubleshooting skills.

- Effective communication and collaboration skills.

- Proactive attitude and a willingness to learn and adapt in a fast-paced environment.

Nice-to-Have Skills Description:

• Experience with performance testing and profiling

• Experience integrating with cloud infrastructure platforms, in particular Microsoft Azure

• Understanding of Financial Mathematics

Languages:

English: B2 Upper Intermediate

Join.To.IT is a Ukrainian outsourcing IT company founded in 2012, delivering software solutions across various business domains.

We help our clients find the right product solutions even before development starts. Our Research Team conducts market and competitor research, validates product hypotheses, creates interactive prototypes, and helps clients make informed business decisions.

We are looking for a Business Analyst who thinks like a product consultant, actively uses AI tools, and focuses on creating real business value for clients.

Responsibilities

• Analyze client business needs and translate them into clear requirements
• Conduct Product Discovery, Benchmark Research, and Business Research
• Analyze competitors, markets, and successful digital products
• Prepare User Stories, Use Cases, Acceptance Criteria, and project documentation
• Collaborate with UX/UI Designers on clickable prototypes and product hypothesis validation
• Use AI tools for research, analysis, documentation, and prototyping
• Participate in presales, project estimation, and preparation of client proposals
• Collaborate with Developers and QA throughout product implementation
• Validate implemented functionality against business requirements
• Proactively suggest product improvements and new solutions that create business value

Requirements

• 2+ years of commercial experience as a Business Analyst
• English — Upper-Intermediate (B2+)
• Hands-on experience with Product Discovery, requirements gathering, and competitor/market research
• Ability to analyze business processes and propose solutions, not just document requirements
• Experience with User Stories, Use Cases, Acceptance Criteria
• Experience with Figma and understanding of clickable prototyping
• Confident use of AI tools such as ChatGPT, Claude, Gemini, Lovable, or similar
• Understanding of SDLC and Agile/Scrum
• Strong analytical and communication skills, proactivity, and ownership

Nice to Have

• Experience in an outsourcing company and/or presales
• Knowledge of BPMN and UML
• Experience with Customer Journey Maps, User Flows, or Product Vision
• Experience with AI prototyping tools such as Lovable, Bolt, v0, Figma AI, or similar

We Offer

• Office-based work in Kyiv, near Vasylkivska metro station
• Working hours: 10:00–19:00, Monday–Friday
• Comfortable office with a shelter, Starlink, and uninterrupted power supply
• Medical insurance
• Paid vacation and sick leave
• Free gym access near the office
• Compensation for professional courses and development
• Supportive team and opportunities for professional growth

EU Remote | Full-time | B2B / Ukrainian FOP | German Client

We’re looking for a Senior SAP S/4HANA Business Analyst (FI/CO) to join a full-time transformation project for an international client based in Germany.

The project is focused on the next stage of the company’s SAP S/4HANA transformation -  shaping how Finance teams, responsibilities, processes, and capacity should be organized within the new environment.

This is a transformation-focused role with direct involvement in defining the post-S/4HANA operating model, rather than day-to-day SAP support.

What you’ll work on

• Analyze FI/CO business processes within the S/4HANA environment
• Gather and structure requirements from business stakeholders
• Support AS-IS / TO-BE analysis and identify gaps and improvement opportunities
• Help define future Roles & Responsibilities (R&R) and ownership across teams
• Contribute to the Capacity Management strategy, including resource and workload planning
• Translate Finance and business needs into clear functional requirements and recommendations
• Facilitate discussions between business, Finance, and technical teams

• Prepare documentation supporting future operational and organizational decisions

   

What we’re looking for

• Strong hands-on experience with SAP S/4HANA
• Solid functional expertise in SAP FI/CO and Finance processes
• Experience as an SAP FI/CO Functional Consultant, SAP Business Analyst, or similar
• Experience with S/4HANA implementation, migration, or transformation projects
• Strong business process analysis and requirements-gathering skills
• Experience working directly with business stakeholders and cross-functional teams
• Ability to independently analyze complex requirements and turn them into practical solutions
• Good English communication skills

Nice to have

• Experience with R&R, RACI, or operating model design
• Experience with Capacity Management, resource planning, or workload planning
• German language skills

Why join this project?

You’ll work on a business-critical S/4HANA transformation where your expertise will influence how Finance processes, responsibilities, and resources are structured after the transition.

It’s an opportunity to work beyond standard SAP delivery and contribute to business processes and operating-model decisions alongside international stakeholders.

Project setup

• Client: Germany
• Location: EU-based candidates only
• Work format: 100% remote
• Engagement: Full-time
• Contract: B2B / Ukrainian FOP
• Language: English; German is a plus

If you have strong SAP S/4HANA FI/CO expertise and enjoy combining SAP knowledge with business analysis and transformation work, we’d be happy to hear from you.

About the role:
We’re looking for a GenAI Engineer to design and build production-grade AI capabilities, including intelligent agents, LLM-powered features, and workflow automation. In this role, you’ll collaborate closely with product, engineering, and design teams to integrate cutting-edge AI technologies into a large-scale, customer-facing product.

You’ll join a US-based team developing one of the world’s leading enterprise video platforms, used by thousands of organizations worldwide for live streaming, virtual events, online training, webinars, and other interactive experiences.
Requirements:

• Strong software engineering background (Python preferred)
• Proven track record of building production-grade GenAI applications
• Hands-on experience with LLMs, RAG, AI agents, vector databases, and AI orchestration frameworks
• Practical experience with OpenAI, Anthropic, Google Gemini, Amazon Bedrock, or similar AI platforms
• Strong system design and problem-solving skills
• Upper-Intermediate English (B2+) or higher 

Nice to Have

• Experience with AWS and cloud-native applications
• Exposure to MCP, AI automation, or multimodal AI 

Responsibilities

• Build AI-powered features using modern LLMs
• Develop AI agents, tool-calling workflows, and RAG systems
• Integrate AI capabilities with enterprise products through APIs and MCP
• Optimize prompts, model performance, and AI quality
• Collaborate with Product, Engineering, and Design teams to deliver production-ready AI solutions 

What We Offer

• Work on production AI features with real user impact in a flexible, Agile, multinational team where innovation and collaboration drive everything we do
• Continuous learning and professional growth alongside top talent in the global tech industry
• Hybrid work model, combining remote work with time in our Lviv office
• Daily collaboration with native English speakers, providing a natural opportunity to strengthen your English in a professional environment
• 18 working days of paid vacation, 10 working days of paid sick leave, and 11 paid Ukrainian public holidays

Шукаємо Senior / Lead Software Engineer (Data), який допоможе будувати й масштабувати production-grade data systems: пайплайни, сервіси та storage-рішення для збору, обробки, зберігання й доставки даних. Це роль для інженера з сильним software engineering mindset, який вміє працювати не лише на рівні реалізації, а й на рівні архітектури, data modeling, reliability, performance та technical leadership. Очікуємо, що людина зможе брати end-to-end ownership за критичні data workflows і впливати на стандарти команди.
 

Обовʼязки:

• Проєктувати, розробляти та підтримувати batch/streaming data pipelines і data services.
• Приймати технічні рішення щодо ingestion, orchestration, storage, трансформацій і delivery.
• Будувати ETL/ELT-рішення з використанням Python, Airflow, Cron.
• Інтегрувати дані з API, логів, NoSQL, IoT/embedded-джерел та внутрішніх сервісів.
• Проєктувати схеми зберігання, моделі даних і структури баз даних.
• Оптимізувати рішення з погляду performance, scalability, cost та maintainability.
• Забезпечувати data quality, observability, reliability і стабільність production-процесів.
• Планувати та реалізовувати міграції даних між платформами й форматами.
• Документувати схеми, трансформації, data lineage та ключові технічні рішення.
• Брати участь у code review, design discussions, incident resolution.
• Менторити інших інженерів і розвивати engineering standards у data-напрямку.
   

Вимоги:

• Значний досвід як Senior / Lead Software Engineer, Data Engineer або Backend Engineer у data-intensive середовищі.
• Сильний Python і досвід побудови production-ready рішень.
• Досвід роботи з Apache Airflow.
• Досвід роботи з MongoDB або іншими NoSQL-рішеннями.
• Сильне розуміння проєктування баз даних і data models: schema design, indexing, normalization/denormalization.
• Досвід роботи з великими обсягами даних, high-throughput або streaming workloads.
• Досвід із Azure Blob Storage або аналогічними object storage.
• Впевнене знання SQL та оптимізації запитів.
• Глибоке розуміння ETL/ELT, incremental processing, datalake/warehouse principles.
• Розуміння testing, observability, fault tolerance, idempotency, recovery для data systems.
• Досвід із Git, CI/CD, production deployment.
• Досвід технічного лідерства, mentoring, design review і роботи зі стейкхолдерами.
   

Буде плюсом:

• Snowflake, Elasticsearch
• Kafka або інші streaming-платформи
• Grafana / Prometheus
• Ansible або інші IaC / automation tools
• Power BI
• Досвід із cloud DWH, governance, lineage, internal data tools
  
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