Jobs Data & Analytics

This role is for an experienced Product Analyst with a strong background in product analytics, experimentation, and data-driven decision-making. You will be responsible for defining product success metrics, analyzing user behavior and A/B test results, uncovering actionable insights, and collaborating cross-functionally to optimize acquisition, retention, and trading experiences while supporting business growth.
Explore opportunities at JustMarkets and become a part of our team of professionals!

Responsibilities

• Partner with Product Leads (Acquisition, Retention, Trading) to define success metrics and KPIs for new features and product roadmaps
• Design, document, and oversee the implementation of tracking plans (event taxonomy)
• Analyze A/B test results, providing clear recommendations on whether to roll out, iterate, or kill a feature based on statistical evidence
• Create and maintain executive-level dashboards and granular product-level reports
• Conduct complex research (e.g., "How does using the CopyTrading feature in the first 7 days impact 90-day retention?")

Requirements

• 3+ years of experience as a Product Data Analyst, ideally within FinTech, Trading, GameDev, or high-transaction B2C digital products
• Advanced proficiency in SQL (complex joins, window functions, query optimization) and hands-on experience with Data Warehouses (BigQuery, Snowflake, Redshift)
• Strong experience with Product Analytics and event tracking platforms (such as Amplitude, Mixpanel, GA4, Firebase Analytics) as well as BI visualization tools (Tableau, Looker, PowerBI, Superset, or similar)
• Solid understanding of statistics specifically for A/B testing (hypothesis testing, p-values, statistical significance, minimum detectable effect)
• Experience using Python or R (Pandas, SciPy, Jupyter) for deeper statistical analysis, cohort modeling, or predictive analytics
• Proven ability to design and govern product event tracking architecture from scratch

Will be a plus

• Domain knowledge in CFD trading, Crypto exchanges, or traditional brokerage businesses
• Experience with Data Engineering concepts and tools (dbt, Airflow) to build your own data pipelines
• Familiarity with mobile attribution platforms (AppsFlyer, Adjust) and deep-linking analytics

We offer

• 20 paid vacation days per year
• 10 paid sick leave days per year
• Public holidays as per the company’s approved Public holiday list
• Medical insurance
• Opportunity to work remotely
• Professional education budget
• Language learning budget
• Wellness budget (gym membership, sports gear and related expenses)

Шукаємо Senior Data Engineer з досвідом BigQuery, Python, DBT та Data Modeling в дуже велику і стабільну продуктову компанію. Компанія розробляє софт для найбільших страхових компаній світу.

Проект – побудова нової Data Platform на базі BigQuery з використанням DBT, Python, GCP. Сінйорна команда, адекватний і професійний менеджмент.

Шукаємо виключно українських девелоперів закордоном. Нажаль, в Україні цього разу не розглядаємо, через обмеження по доступу до критичних даних. Пропонуємо дуже гнучкі умови: віддалена робота, цікаві задачі і хороше/спокійне керівництво.

Опис вакансії:

What You’ll Do: 

• Design & run pipelines – create, deploy, and monitor robust data flows on GCP. 
• Model data – design star/snowflake schemas for analytics and reporting. 
• Write BigQuery SQL – build procedures, views, and functions. ● Build ML pipelines – automate training, validation, deployment, and model monitoring. 
• Optimize ETL – speed up workflows and cut costs. 
• Use the GCP stack – BigQuery, DBT + Dataflow, Dataproc, Airflow/Composer, Celigo.
• Guard quality & uptime – add tests, validation, and alerting; fix issues fast. 
• Document everything – pipelines, models, and processes. 

• Keep learning – track new tools and best practices. 

   

What You’ll Need: 

• 6+ yrs building data/ETL solutions; 2+ yrs heavy GCP work. 
• Proven BigQuery warehouse design and scaling. 
• Deep SQL, Python, DBT, Git; Talend, Fivetran, or similar ETL tools. 
• Strong data‑modeling skills (star, snowflake, normalization).
• Solid grasp of Data Lake vs. Data Warehouse concepts. 
• Problem‑solver who works well solo or with a team. 
• Clear communicator with non‑technical partners. 
• Bachelor’s in CS, MIS, CIS, or equivalent experience. 

We are looking for a highly motivated and results-driven Head of Data & AI to join our team full-time. In this strategic role, you will shape the vision, architecture, and delivery frameworks for Data Engineering, Data Science, Quant and Data Analytics, unifying these teams into a single, high-impact function. This is a key leadership position, guiding both technical and managerial directions for our data organization.
We drive fintech innovation through deep analytical expertise and a data-first, engineering-driven approach.
 

Key Responsibilities
 

Data Engineering

• Design and evolve a scalable, reliable, and maintainable data platform architecture
• Oversee development of robust ETL/ELT pipelines and real-time data streaming systems
• Establish engineering best practices, including code reviews, CI/CD, data contracts, and observability
• Lead technology selection and resource planning across ClickHouse, Spark, and supporting infrastructure
• Ensure data quality through monitoring, alerting, SLA ownership, and remediation processes
• Manage infrastructure costs and drive optimization across storage, compute, and cloud resources
   

Artificial Intelligence & Large Language Models

• Define and develop the company's overall AI direction and roadmap, aligning initiatives with long-term business strategy
• Ensure operational stability and observability of ML services
• Define and drive LLM strategy, including identifying high-value use cases, evaluating model providers (OpenAI, Anthropic, open-source), and leading end-to-end implementation
• Architect and oversee LLM-powered products, including RAG pipelines, AI agents, and intelligent automation workflows integrated into core business processes
• Establish MLOps/LLMOps best practices, including model versioning, evaluation frameworks, prompt management, and drift/hallucination monitoring
• Drive responsible AI governance, including bias detection, explainability (SHAP, LIME), fairness auditing, and compliance with emerging AI regulations
• Evaluate and integrate vector databases (Pinecone, Weaviate, pgvector) and embedding strategies to power semantic search and knowledge retrieval
• Champion AI-assisted development practices (e.g., GitHub Copilot, Cursor) and foster an AI-augmented engineering culture across data teams
   

Data Analytics & Quant

• Drive advanced analytics, strategy, and Quant development
• Partner with stakeholders to translate complex business challenges into data-driven solutions
• Define and own key metrics, dashboards, and reporting frameworks to support executive and board-level decision-making
• Lead experimentation practices to validate business impact of models and initiatives
• Mentor teams, setting technical standards and career development paths
   

Requirements

• 7+ years of hands-on experience across Data Engineering, Data Science, Quant, Data Analytics, delivering end-to-end solutions
• 3+ years of managerial experience, leading data teams
• Bachelor’s or Master’s degree in Computer Science, Mathematics, Physics, Engineering, or a related field
• Strong programming skills in Python, with experience writing clean, production-grade code
• Solid understanding of software engineering best practices (CI/CD, testing, code reviews, clean architecture)
• Deep understanding of core ML algorithms: regression, gradient boosting, time series, etc.
• Practical experience with ML libraries and platforms (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch)
• Strong foundation in mathematical statistics, probability theory, and quantitative modeling
• Proficient in SQL and experience with analytical and OLAP databases
• English Upper-Intermediate
   

Nice to Have

• Background in trading or fintech
• Experience analyzing and modeling time series or high-frequency data
• Familiarity with anti-fraud systems, risk modeling, or portfolio analytics
• Practical experience with integration of LLM with corporate systems for internal users
   

We offer

• 20 paid vacation days per year
• 10 paid sick leave days per year
• Public holidays according to current legislation
• Medical insurance
• Opportunity to work remotely
• Professional education budget
• Language learning budget
• Wellness budget (gym membership, sports gear and related expenses)

Job Description

• Bachelor's degree in Computer Science or equivalent experience.
• 3+ years of experience in iOS testing.
• Experience in both manual and automation testing.
• Knowledge of XCTest/XCUITest is preferred.
• Strong understanding of mobile QA processes.
• Experience testing REST APIs.
• Familiarity with Agile methodologies.
• Strong communication and analytical skills.

Job Responsibilities

• Execute manual and automated testing.
• Create and maintain test documentation.
• Report and validate software defects.
• Work closely with development teams.
• Improve automation coverage where applicable.
• Participate in release verification.
• Support continuous quality improvement.

Department / Project Description

We are seeking a QA Engineer who enjoys both hands-on manual testing and automation development. You will contribute to delivering secure, high-quality iOS applications used by healthcare professionals worldwide.

About us

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

Overview

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

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

Responsibilities

Relocalization & navigation

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

Research & implementation

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

Edge deployment & production

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

Required skills & experience

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

Nice to have

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

What we offer

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

We are looking for a skilled Business Analyst to bridge the gap between business needs and technology solutions. You will work closely with stakeholders across the organization to gather requirements, analyze processes, identify opportunities for improvement, and help deliver solutions that drive business value.

Key Responsibilities

• Elicit, analyze, document, and validate business requirements through stakeholder interviews, workshops, and process mapping
• Translate business needs into clear functional and non-functional requirements, user stories, use cases, and process flows
• Collaborate with product owners, developers, designers, and QA to ensure requirements are well understood and properly implemented
• Analyze current business processes, identify inefficiencies, and recommend improvements or automation opportunities
• Support prioritization of the product backlog and help define acceptance criteria
• Create and maintain documentation (BRDs, process maps, data dictionaries, requirement traceability matrices)
• Facilitate communication between business and technical teams
• Support UAT planning, execution, and defect resolution
• Monitor project progress and flag risks or scope changes early
• Contribute to continuous improvement of BA practices and tools within the team

Requirements

Must-have

• 2+ years of experience as a Business Analyst (or similar role) in B2C products
• Strong experience gathering and documenting requirements using techniques such as interviews, workshops, user stories, and process modeling
• Proficiency with tools such as Jira, Confluence, Miro, Lucidchart, Visio, or similar
• Excellent analytical, problem-solving, and critical-thinking skills
• Strong written and verbal communication skills; ability to explain complex topics clearly to both technical and non-technical audiences
• Experience working in Agile/Scrum environments
• Ability to manage multiple stakeholders and prioritize competing demands

Nice-to-have

• Experience with data analysis (SQL, Excel, Power BI, Tableau)
• Familiarity with BPMN, UML, or other modeling standards
• Background in customer-facing platforms 
• Knowledge of software development lifecycle and basic technical concepts
• Certification such as CBAP, CCBA, PMI-PBA, or Scrum Master / Product Owner certification

What We Offer

• Competitive salary + bonus
• Flexible working arrangements
• Opportunity to work on impactful projects with cross-functional teams
• Professional development budget and learning opportunities

We are looking for a Marketing Data Analyst(part-time) who will build Dripify's marketing attribution and reporting. You will be the architect of how we understand marketing performance commercially: which channels drive revenue, which content converts to paid customers, and where our acquisition spend is actually working.Once the foundation is solid, the scope grows - this engagement starts fractional and is designed to evolve into a full-time role.

Requirements:

• 3+ years as a marketing or data analyst;
• Familiarity with the modern data stack:warehouse (BigQuery/Snowflake/Redshift), ELT (Fivetran / Airbyte), transformation layer (dbt);
• Proven ability to build a marketing attribution model from the ground up - you've connected multi-touch data to actual revenue outcomes before;
• Experience building a BI/visualization layer from raw data (Looker Studio, Tableau, or similar);
• Solid grasp of B2B SaaS funnel mechanics: trial-to-paid conversion, CAC, LTV, MRR attribution;
• You understand what the numbers mean commercially, not just technically.

Nice to have:

• Experience connecting content performance to revenue - article or page-level attribution, mapping organic content consumption to downstream paid conversions;
• Experience with affiliate tracking platforms (Impact, PartnerStack, etc.);
• Еxperience with GA4.

Responsibilities:

• Audit the current GA4 and BigQuery setup: identify tracking gaps, attribution gaps, and data quality issues;
• Design and document the event taxonomy, tracking plan, and naming conventions aligned to real business questions;
• Implement a cross-channel attribution model that connects marketing touchpoints (organic, paid, affiliate, content, email) to trial starts and paid conversions;
• Implement and document the full data model;
• Design and build dashboards that give a clear, consistent view of marketing performance;
• Build channel-level performance views for organic, PPC, affiliates, content, and email, each showing contribution to pipeline and paid revenue, not just traffic;
• Build a content performance dashboard with article-level data including visits, trial starts, and MRR contribution;
• Build a top-of-funnel to revenue waterfall: traffic → trial → paid conversion by source;
• Deliver regular reporting: weekly channel snapshots and monthly marketing performance reviews;
• Conduct campaign and experiment analysis to measure the impact of launches, tests, and budget changes;
• Generate proactive insights: flag anomalies, identify growth opportunities, and support quarterly OKR tracking.

Hiring process:

✅ Interview with Talent Acquisition Specialist — ✅ Final Interview with CMO & Engineering Manager — ✅ Reference Check — ✅ Offer 🎉

Dataforest is looking for a growth-oriented Data Engineer to join our friendly team. As a Data Engineer, you will solve engaging problems using cutting-edge technologies for data collection, processing, analysis, and monitoring.

If you aren't afraid of challenges, this position is just for you!

You'll be a great fit if you have:

- 1+ years of experience as a Data Engineer;
- Strong experience with Python;
- Proven experience with Databricks and Datafactory;
- Experience with AWS/Azure;
- Experience building ETL / ELT pipelines;
- Proficiency in SQL.

What you'll do:

- Developing ETL/ELT pipelines and data management solutions;
- Implementing data processing algorithms;
- Writing and optimizing SQL queries for data extraction and analysis;
- Analyzing data and applying processing algorithms to solve business problems.

We ensure your growth with:

- Working with a high-skilled engineering team on engaging and complex projects;
- Hands-on experience with the latest technologies;
- Direct communication with international clients and challenging tasks;
- Opportunities for personal and professional growth;
- Competitive salary pegged to USD;
- Paid vacation and sick leave;
- Flexible working hours;
- Friendly working atmosphere with zero bureaucracy;
- Plenty of team traditions — corporate parties, team buildings, themed events, and much more!

Cloudfresh ⛅️ is a Global Google Cloud Premier Partner, Zendesk Premier Partner, Asana Solutions Partner, GitLab Select Partner, Hubspot Platinum Partner, Okta Activate Partner, and Microsoft Partner.

Since 2017, we’ve been specializing in the implementation, migration, integration, audit, administration, support, and training for top-tier cloud solutions. Our products focus on cutting-edge cloud computing, advanced location and mapping, seamless collaboration from anywhere, unparalleled customer service, and innovative DevSecOps.

We’re currently looking for a Data Engineer/Analyst (GCP) to join our team. In this role, you’ll design, implement, and deliver robust data platforms and analytics solutions on Google Cloud - ensuring technical excellence and client success across the full project lifecycle, from pre-sales discovery to enterprise delivery and internal projects. We’re excited to meet someone who’s ready to make a real impact.

Requirements

- Fluency in Ukrainian
- At least B2 level in English
- GCP Native Data Stack: Deep practical knowledge of BigQuery, Cloud Storage, Cloud Functions, and BigQuery ML.
- 3+ years of experience in Data Engineering
- Strong experience with Dataflow, Dataproc, Pub/Sub, Cloud Composer, or Dataform for building and maintaining optimized ETL/ELT processes in GCP.
- Proficiency in Looker / Looker Studio.
- Advanced SQL (focus on optimization and performance tuning) and Python (for API integrations and pipeline scripting).
- Comfortable in client-facing and pre-sales scenarios (live demos, requirements gathering) with the ability to translate business needs into scalable technical designs.
- A proactive, self-driven approach with high responsibility for data platform reliability and accuracy.
- Familiarity with integrating data from APIs, relational databases, NoSQL systems, and SaaS platforms.
- Ability to work seamlessly with architects, DevOps, and ML engineers to deliver end-to-end cloud solutions.

Responsibilities

- Design and build modern data platforms for enterprise clients, working with both structured and unstructured datasets at scale.
- Lead the implementation of analytics solutions ensuring strict data quality, security, and rigorous performance optimization.
- Run workshops and deliver technical presentations to stakeholders to define and refine data architectures.
- Continuously monitor and tune BigQuery cost/scalability models and ETL performance.
- Collaborate with the team during discovery phases to provide technical expertise, live demos, and solution scoping.
- Identify and explore new GCP features and agentic AI tools to automate operations and improve process analytics.

Work conditions

- Flexible Work Format: Work remotely with flexible hours, allowing you to balance your professional and personal life efficiently.
- Training with Leading Cloud Products: Access in-depth training on cutting-edge cloud solutions, enhancing your expertise and equipping you with the tools to succeed in an ever-evolving industry.
- International Collaboration: Work alongside A-players and seasoned professionals in the cloud industry.
- Expand your expertise by engaging with international markets across the EMEA and CEE regions.
- Vibrant Team Environment: Be part of an innovative, dynamic team that fosters both personal and professional growth, creating opportunities for you to advance in your career.

When applying to this position, you consent to the processing of your personal data by CLOUDFRESH for the purposes necessary to conduct the recruitment process, in accordance with Regulation (EU) 2016/679 of the European Parliament and of the Council of April 27, 2016 (GDPR).
Additionally, you agree that CLOUDFRESH may process your personal data for future recruitment processes. You can withdraw this consent at any time.

Work setup:  Fully remote

Engagement:  Project-based, ~6 months, with likely extension depending on business needs

Role summary

We are looking for a senior data / analytics engineer specialising in Looker (LookML) to lead the modelling and presentation layer that turns raw Google Cloud data into governed, self-service insight for our clients.

The heart of the role is running a complex, multi-tenant Looker environment. You will maintain a LookML layer that uses dynamic properties and user attributes to route each user to their own BigQuery dataset — keeping this shared "single model, many tenants" architecture secure, scalable and fast.

Required skills & experience

• Looker / LookML — expert-level: building complex models and managing Looker instances.
• Version control — managing branches and repositories for models, dashboards and metrics.
• Advanced SQL — strong command of SQL for Google BigQuery, including window functions and nested / repeated fields.
• Multi-tenancy — managing data access and security filtering for multiple external clients within a single BI platform.
• Data governance — using Liquid variables and user attributes in Looker to drive dynamic, context-specific content.
• User administration — managing Looker groups, roles and users, including custom attributes per user.
• GCP — a general understanding of Google Cloud resource structures, enough to interpret the incoming data correctly.

Experience requirements

• 3+ years working with LookML.
• 5+ years working with SQL.
• 3+ years working with Google Cloud Platform (GCP).
• 4+ years working with Google BigQuery.

Work setup:  Remote

Engagement:  Long-term, client-facing implementation role

English:  Strong professional / fluent (stakeholder-facing)

Role summary

We are looking for an engineer to design, configure, integrate and support secure, production-grade generative-AI solutions built on Google Cloud. The core of the role is turning everyday business processes into scalable, AI-powered workflows — enterprise search, knowledge discovery, question-answering and agent-based automation — on top of Google's enterprise GenAI and search stack (for example Gemini Enterprise, Vertex AI Search and Agent Builder). You will work hand-in-hand with business stakeholders, cloud and platform engineers, security teams and application developers to take solutions from discovery through to live operation.

What you'll do

Solution build & AI agents

• Configure and deploy enterprise GenAI applications to match business and customer requirements — data stores, search experiences, actions and agents.
• Build AI-driven enterprise search, knowledge discovery, Q&A and workflow-automation capabilities.
• Create reusable agents that serve operations, customer service, sales, HR and knowledge-management use cases.

Data integration & retrieval quality

• Connect the platform to structured and unstructured company data — Google Workspace, Microsoft 365, databases, document repositories, cloud storage, APIs and third-party business apps.
• Design secure ingestion, indexing, synchronisation and retrieval flows, and make sure applications are wired to the right data stores for answers, actions and agents.
• Improve answer and search quality through metadata design, document preparation, access controls, grounding and retrieval tuning.

Security & governance

• Implement identity, access management and role-based access so retrieval respects each user's existing permissions.
• Keep solutions aligned with organisational security, privacy and governance policy, and work with security/compliance teams on data residency, auditability, retention and responsible-AI requirements.
• Identify and mitigate risks such as data leakage, prompt injection, unauthorised access, hallucinations and inappropriate responses; maintain documentation of architecture, data flows and access controls.

Deployment & operations

• Support solutions across development, testing, production rollout and ongoing operation.
• Monitor usage, search quality, agent performance, latency, errors and user feedback; set up logging, monitoring and alerting.
• Troubleshoot data connectors, indexing, authentication, API and permission issues, and recommend improvements from adoption metrics and evaluation results.

Stakeholder collaboration

• Run discovery sessions to understand requirements, workflows, data sources and desired outcomes, and translate them into technical architecture and delivery plans.
• Produce proofs of concept, demos, documentation and technical presentations; train administrators, developers, support teams and end users on capabilities and responsible use.

Must-have qualifications

• Bachelor's degree in Computer Science, IT, Engineering or a related field — or equivalent hands-on experience.
• 3+ years in cloud engineering, software development, data engineering, AI engineering or enterprise application implementation.
• Hands-on experience with Google Cloud Platform.
• Experience with generative AI, large language models, conversational AI or enterprise-search technologies.
• Experience integrating applications with APIs, databases, cloud storage and third-party systems.
• Proficiency in at least one programming language — Python preferred (Java, JavaScript/TypeScript or Go also welcome).
• Solid grasp of REST APIs, authentication, OAuth, service accounts and identity & access management.
• Working knowledge of prompt engineering, retrieval-augmented generation, grounding, embeddings and semantic search.
• Familiarity with structured and unstructured data ingestion, plus testing, troubleshooting, logging and monitoring.
• Strong analytical, documentation, communication and stakeholder-management skills.

Nice to have

• Hands-on delivery with Google's enterprise GenAI products (Gemini Enterprise / Vertex AI Search / Agent Builder) or comparable platforms.
• Experience with Vertex AI, the Gemini APIs or other conversational-AI platforms.
• Building enterprise AI agents and multi-step agentic workflows.
• Integrating Google Workspace or Microsoft 365 data.
• BigQuery, Cloud Storage, Cloud Run, Cloud Functions, Pub/Sub and API management.
• Document processing, vector search, embeddings and knowledge-management platforms.
• Infrastructure as code and CI/CD (Terraform, GitHub Actions, Cloud Build).
• Understanding of responsible AI, model evaluation, AI governance and enterprise data privacy.
• Prior client-facing consulting, professional-services or enterprise-implementation work.
• Relevant Google Cloud certifications (e.g. Professional ML Engineer, Professional Cloud Architect, Professional Data Engineer, Professional Cloud Developer, Generative AI Leader).

Core competencies

• Strong problem-solving and analytical thinking.
• Ability to translate business needs into practical AI solutions.
• Attention to data security, privacy and governance.
• Clear technical and business communication.
• Comfortable juggling several implementation priorities and working independently while coordinating across teams.

Чи захоплює вас перетворення даних на практичні інсайти? Ми шукаємо Senior BI Engineer, який приєднається до нашої команди Data & Analytics і допоможе формувати звітність, створювати дашборди та розвивати підхід до прийняття рішень на основі даних у різноманітних бізнес- та потенційно державних проєктах.

Це роль рівня Senior із можливістю гібридного або віддаленого формату роботи, що забезпечує гнучкість та можливість співпрацювати з талановитими професіоналами з усього світу. Ідеальний кандидат має значний практичний досвід роботи з BI-інструментами, поглиблені знання SQL, моделювання даних та досвід тісної взаємодії з бізнес-стейкхолдерами. Ця роль вимагає не лише технічної експертизи, але й здатності розуміти потреби бізнесу, трансформувати їх у зрозумілі рішення для звітності та забезпечувати точність і надійність даних.

У Sigma Software ми цінуємо інноваційність, точність і командну роботу та створюємо підтримуюче середовище, де ваші знання та досвід можуть мати реальний вплив.

Чому варто приєднатися до нас? Ви працюватимете над важливими проєктами, отримаєте досвід у різних доменах та матимете доступ до переваг, таких як можливості професійного розвитку, міжнародна командна культура та сучасні технології.

Обов’язки:

— Проєктувати, створювати та підтримувати BI-звіти та дашборди
— Аналізувати бізнес-вимоги та перетворювати їх на звітні рішення
— Працювати зі стейкхолдерами для визначення KPI, метрик та логіки даних
— Писати та оптимізувати SQL-запити
— Перевіряти точність даних та досліджувати невідповідності
— Підтримувати покращення моделювання даних та звітного шару
— Співпрацювати з Data Engineers, Business Analysts, PMs та стейкхолдерами з боку замовника
— Готувати документацію для звітів, метрик та джерел даних
— Вносити вклад у розвиток BI best practices у межах юніту

Вимоги:

— 5+ років досвіду у BI, data analytics або data engineering
— Досвід роботи з Power BI, Tableau, Looker чи подібними інструментами буде плюсом
— Просунуті навички роботи з SQL
— Досвід моделювання даних, роботи зі структурами даних та data warehousing
— Розуміння процесів ETL/ELT та data pipelines
— Досвід очищення, валідації та контролю якості даних
— Вміння працювати з великими наборами даних та складною бізнес-логікою
— Добре розуміння бізнес-звітності, KPI та дизайну дашбордів
— Досвід прямої роботи зі стейкхолдерами для збору вимог та уточнення звітних потреб
— Рівень англійської Upper-Intermediate+

Буде плюсом:

— Досвід роботи з урядовими, державними, медичними, фінансовими або іншими регульованими доменами
— Досвід роботи з Azure, AWS, Snowflake, BigQuery, Databricks або Redshift
— Python або R для аналізу даних
— Досвід роботи з dbt, Airflow, Dagster чи подібними інструментами
— Знання data governance, access control та звітності, пов’язаної з комплаєнсом
— Досвід роботи за Agile

Are you passionate about turning data into actionable insights? We are looking for a Senior BI Engineer to join our Data & Analytics team and help shape reporting, dashboarding, and data-driven decision-making across diverse business and potentially government-related projects.

This is a Senior-level role with hybrid or remote work options, offering flexibility and opportunities to collaborate with talented professionals worldwide. The ideal candidate has strong hands-on experience with BI tools, advanced SQL, data modeling, and close collaboration with business stakeholders. This role requires not only technical expertise but also the ability to understand business needs, translate them into clear reporting solutions, and ensure data accuracy and reliability.

At Sigma Software, we value innovation, precision, and teamwork, and we provide a supportive environment where your expertise can make a real impact.

Why join us? You’ll work on meaningful projects, gain exposure to different domains, and enjoy benefits such as professional growth opportunities, a global team culture, and access to cutting-edge technologies.

Responsibilities:

— Design, build, and maintain BI reports and dashboards
— Analyze business requirements and translate them into reporting solutions
— Work with stakeholders to define KPIs, metrics, and data logic
— Write and optimize SQL queries
— Validate data accuracy and investigate inconsistencies
— Support data modeling and reporting layer improvements
— Collaborate with Data Engineers, Business Analysts, PMs, and customer-side stakeholders
— Prepare documentation for reports, metrics, and data sources
— Contribute to BI best practices within the unit

Requirements:

— 5+ years of experience in BI, data analytics, or data engineering-related roles
— Strong experience with Power BI, Tableau, Looker, or similar tools
— Advanced SQL skills
— Experience with data modeling, data structures, and data warehousing
— Understanding of ETL/ELT processes and data pipelines
— Experience with data cleaning, validation, and data quality control
— Ability to work with large datasets and complex business logic
— Good understanding of business reporting, KPIs, and dashboard design
— Experience working directly with stakeholders to gather requirements and clarify reporting needs
— Upper-Intermediate+ English level

Will be a plus:

— Experience with government, public sector, healthcare, finance, or other regulated domains
— Experience with Azure, AWS, Snowflake, BigQuery, Databricks, or Redshift
— Python or R for data analysis
— Experience with dbt, Airflow, Dagster, or similar tools
— Knowledge of data governance, access control, and compliance-related reporting
— Experience with Agile delivery

Чи захоплює вас перетворення даних на практичні інсайти? Ми шукаємо Senior BI Engineer, який приєднається до нашої команди Data & Analytics і допоможе формувати звітність, створювати дашборди та розвивати підхід до прийняття рішень на основі даних у різноманітних бізнес- та потенційно державних проєктах.

Looking for a Data Engineer to join the Dataforest team. If you are looking for a friendly team, a healthy working environment, and a flexible schedule ‒ you have found the right place to send your CV.

You'll be a great fit if you have:

- 2+ years of experience with Python;
- 2+ years of experience as a Data Engineer;
- Experience with Pandas;
- Experience with SQL DB / NoSQL (Redis, Mongo, Elasticsearch) / BigQuery;
- Familiarity with Amazon Web Services;
- Experience with Kafka;
- Knowledge of data algorithms and data structures is a MUST;
- Working with high volume tables 10m+.

What you'll do:

- Create ETL pipelines and data management solutions (API, Integration logic);
- Different data processing algorithms;
- Involvement in creation of forecasting, recommendation, and classification models.

Would be a plus:

- Experience with Spark (pyspark);
- Experience with Airflow;
- Experience in statistics;
- Knowledge of DS and Machine learning algorithms.

We ensure your growth with:

- Great networking opportunities with international clients, challenging tasks;
- Building interesting projects from scratch using new technologies;
- Personal and professional development opportunities;
- Competitive salary fixed in USD;
- Paid vacation and sick leaves;
- Flexible work schedule;
- Friendly working environment with minimal hierarchy;
- Team building activities, corporate events.

About N5Deal

N5Deal is the first and largest M&A platform built specifically for the financial sector, connecting verified buyers, sellers, and brokers to trade licensed financial institutions — banks, EMIs, PSPs, MSOs, and crypto/stablecoin providers — across dozens of countries. We replace slow, consultant-driven M&A processes with a transparent digital marketplace, backed by AI-powered matching, KYF (Know-Your-Fintech) intelligence, and a growing network of broker and referral partners who source and close deals alongside our team.

The Role

We're hiring a Partnership Analytics Analyst to own the data behind our broker and partner network. You'll track how partners source and close deals, measure the health of our AI-driven deal-matching pipeline, and turn raw marketplace data into reporting the Partnerships and leadership teams can act on. A core part of this role is using Claude and Claude Code to build automations, scripts, and lightweight internal tools — we want someone who treats AI-assisted coding as a standard part of the analytics toolkit, not a novelty.

What You'll Do

• Build and maintain dashboards and recurring reports tracking partner/broker performance: referrals, deal flow, conversion rates, and closed deal value.
• Analyze marketplace data across listed assets (banks, EMIs, PSPs, MSOs, crypto licenses) to surface trends in demand, pricing, and conversion by jurisdiction and license type.
• Monitor the performance of the AI Matching engine that connects buyers and sellers, and partner with Product/Engineering on improving match quality.
• Use Claude Code to build internal automation scripts, data pipelines, and self-serve reporting tools that cut down manual analysis work.
• Work with the Partnerships team to score and evaluate broker/partner performance, informing decisions on which relationships to expand, renegotiate, or wind down.
• Track and reconcile partner referral and commission data across CRM, deal-pipeline, and finance systems.
• Produce recurring (weekly/monthly) reporting on deal flow, partner contribution, and overall marketplace KPIs for leadership.
• Field ad hoc data requests from Partnerships, Sales, and Leadership, translating raw platform data into clear, actionable insight.
• Identify data-quality issues in the CRM/deal pipeline and work with Engineering to resolve them at the source.
• Document and productionize analytics workflows so Partnerships and Finance can increasingly self-serve.

What We're Looking For

• 2-4+ years of experience in a data, business, or partnerships analytics role — ideally within fintech, marketplaces, or M&A/deal-flow environments.
• Hands-on experience using Claude Code (or a comparable AI coding agent) to build scripts, automate reporting, or ship small internal tools. This is a core, not optional, part of the role.
• Strong SQL skills and fluency in spreadsheet-based analysis (Excel/Google Sheets).
• Experience building dashboards/reports with tools such as Looker, Metabase, or Google Data Studio.
• Comfortable working with CRM and deal-pipeline data (e.g., HubSpot, Salesforce, Pipedrive, or similar).
• Sharp attention to detail and comfort reconciling data across multiple systems.
• Excellent written English and the ability to translate data into clear narratives for non-technical stakeholders.
• Comfortable operating in a fast-paced, remote-first startup environment with evolving processes.

Nice to Have

• Familiarity with fintech licensing and M&A concepts (EMI, PSP, MSO, banking licenses).
• Python scripting experience for data automation beyond Claude Code-assisted workflows.
• Prior experience working with broker, affiliate, or partner referral networks.

We are looking for a Integration Manager to join a project focused on AI-powered pricing solutions for enterprise retail businesses. In this role, you will drive customer integrations, support data quality processes, and help build scalable onboarding and integration workflows.

You will work closely with Customer IT and business stakeholders, external integration partners, and internal teams to ensure seamless platform adoption and reliable integration performance. This position is a great fit for specialists who enjoy solving data challenges while balancing technical and business communication.

We at Sigma Software offer the opportunity to work on impactful international projects, collaborate with experienced professionals, and contribute to modern data-driven solutions used by global retailers.

CUSTOMER

Our Customer is a leading retail technology company specializing in AI-driven pricing optimization solutions for enterprise retailers. The company helps businesses improve profitability and competitiveness through advanced analytics, automation, and data-informed pricing strategies. Their platform combines business intelligence with sophisticated algorithms to support smarter pricing decisions at scale.

PROJECT

The project focuses on implementing and optimizing a modern pricing platform for large-scale retail organizations. As an Integration Engineer, you will support Customer onboarding, ensure reliable and scalable integrations, and contribute to seamless platform adoption. The role involves close collaboration with Customer IT and business teams, external partners, and internal stakeholders in an international environment.

Job Description

• Lead end-to-end technical integrations between the platform and Customer systems
• Coordinate onboarding activities and support successful Customer adoption
• Support, maintain, and optimize integrations for existing enterprise Customers
• Ensure reliability, consistency, and quality of integrated data flows
• Translate business requirements into technical integration solutions
• Collaborate directly with Customer IT and business stakeholders
• Coordinate external integration vendors and contractors during implementation activities
• Identify and resolve integration and data-related issues
• Contribute to scalable and repeatable integration processes and best practices
• Participate in Customer workshops, technical discussions, and solution presentations

Qualifications

• 3+ years of commercial experience in integration, data engineering, or related roles
• Strong SQL skills
• Upper-Intermediate or higher English level
• Experience translating business requirements into technical solutions
• Understanding of data integration concepts and enterprise system integrations
• Strong analytical thinking and problem-solving skills
• Excellent communication and presentation abilities
• Experience working directly with Customers and stakeholders
• Ability to work independently with minimal supervision
• Strong attention to detail and fast-learning mindset

WILL BE A PLUS:

• Basic Python knowledge
• Experience with Apache Airflow
• Understanding of ETL processes and data integration best practices
• Experience working on retail industry projects
• Experience supporting enterprise-level Customer