Jobs Data & Analytics

Fozzy Group is one of the largest trade industrial groups in Ukraine and one of the leading Ukrainian retailers, with over 700 outlets all around the country. It is also engaged in e-commerce, food processing & production, agricultural business, parcel delivery, logistics, and banking.   
 

At Fozzy Group, we are developing a next-generation Decision Support System that connects operational, commercial, and investment data to optimize financial effectiveness and drive guest experience. As a Data Scientist you will own the measurement layer to derive Initiative & Investment Performance Insights. The role 

is organized around three streams: 

• Effect Measurement & Causal Inference: quantify the true incremental impact of initiatives using A/B testing and quasi-experimental methods. Measure uplift in purchase frequency, guest spend, average check, and retention against properly designed control groups, and form clear conclusions on whether an initiative works and is worth its cost. 

• Driver & Heterogeneity Analysis: identify the most significant factors of project performance using ML: guest profile structure and dynamics, technology presence, assortment, distance to competitors – so the business can assess project potential per store, forecast effects, and scale more effectively. 

• Self-Service Validation & Monitoring: build reusable, automated frameworks for effect validation and monitoring that let Finance and business owners get verified answers on demand, with full source transparency and reproducibility.
You will join a cross-functional team to design and implement data-driven decision module that directly influence financial outcomes. 

Job Responsibilities 

• Design and run experiments (A/B tests) and quasi-experiments (difference-in-differences, synthetic control, propensity score matching), and apply causal ML to estimate the incremental and heterogeneous effects of operational, commercial, and investment initiatives. 

• Build uplift / heterogeneous-treatment-effect models to learn which guests, segments, and stores respond most, and quantify effects on key metrics – purchase frequency, share-of-wallet / guest spend, average check, CLV, and retention (via survival models) – for pilot versus control groups. 

• Develop interpretable driver models (gradient boosting with SHAP, causal forests) that explain project performance, and rank the factors with the highest impact on results. 

• Build store-level potential-scoring and effect-forecasting models – probabilistic and hierarchical forecasting, transfer learning and store embeddings to borrow signal across the network – to guide and prioritize scaling decisions. 

• Design adaptive early-stop logic using Bayesian sequential testing, multi-armed bandits, and change point detection, to reallocate or halt rollouts as soon as the economic signal turns marginal. 

• Translate financial and commercial questions into statistically rigorous measurement designs, and connect statistical results to economic value (incrementality, ROI, payback). 

• Build SQL and Python pipelines, reusable feature sets / a feature store, and a self-service experimentation framework. 

• Productionize and monitor models (MLOps) – drift detection, automated validation, reproducibility, and source transparency. 

• Partner with Finance, Investment, Commercial, and Operations teams to deliver verified, decision ready insights. 
 

Requirements 

• Bachelor’s Degree in Mathematics / Quantitative Economics / Econometrics / Statistics / Computer Sciences / Finance; 

• At least 2 years working experience on Data Science; 

• Strong foundation in Statistics, Causal Inference, and Experimental Design – A/B testing, Hypothesis Testing, Power Analysis; 

• Proven experience with SQL (Window functions, CTEs, joins) and Python; 

• Expertise in Machine Learning, Time Series Analysis; 

• Ability to work independently and decompose complex problems. 
 

Preferred 

• Experience with Airflow, Docker, or Kubernetes for Data Orchestration; 

• Practical experience with Amazon SageMaker: training, deploying, and monitoring ML models in a production environment; 

• Knowledge of Reporting and Business Intelligence Software (Power BI, Tableau, Looker); 

• Ability to design and deliver packaged analytical/ML solutions. 
 

What We Offer 

• Competitive salary; 

• Professional & personal development opportunities; 

• Being part of dynamic team of young & ambitious professionals; 

• Corporate discounts for sport clubs and language courses; 

• Medical insurance package.

We are looking for a full-time AI Deepfake & Back Office Specialist.

Responsibilities:
• Create deepfake content using AI tools.
• Generate and edit AI videos, face swaps, lip-sync, and voice cloning.
• Handle daily back-office and administrative tasks.
• Maintain documentation and support operational processes.
• Work closely with the team on ongoing projects.

Requirements:
• Experience creating deepfakes with AI tools.
• Previous back-office or operations experience.
• Strong attention to detail.
• Good organizational skills.
• English: Upper-Intermediate or higher.

We offer:
• Full-time remote position.
• Long-term opportunity.
• Stable salary.
• Work with modern AI technologies.

Fozzy Group is one of the largest trade industrial groups in Ukraine and one of the leading Ukrainian retailers, with over 700 outlets all around the country. It is also engaged in e-commerce, food processing & production, agricultural business, parcel delivery, logistics and banking.
 

The Foodtech team is looking for a Data Scientist to develop the Operational Analytics function for a fast growing food delivery business. In this role, you will focus on time series forecasting, regression modeling, simulation modeling, and end-to-end machine learning pipelines to support resource planning and operational decision-making.

You will be responsible for developing simulation-based models that serve as a foundation for a digital twin of operational processes, enabling scenario analysis, stress testing, and what-if simulations for capacity planning and operational optimization.

You will work closely with product, engineering, and operations teams to transform data into measurable business impact through production-ready ML and simulation solutions.
 

Job Responsibilities:

• Develop and implement time series forecasting models for resource planning (demand, capacity, couriers, delivery slots, operational load);
• Build regression and machine learning models to explain key drivers and support operational decisions;
• Apply a wide range of time series approaches from classical models (SARIMA, ETS, Prophet) and ML models (GB) to modern Deep Learning models (LSTM, Temporal CNNs, Transformers for TS);
• Design, build, and maintain end-to-end automated ML pipelines, deploy and operate models in production using AWS SageMaker;
• Orchestrate training and inference workflows with Apache Airflow;
• Analyze large-scale operational datasets and convert results into insights, forecasts, and actionable recommendations;
• Collaborate with product managers, engineers, and operations teams to define business problems and validate analytical solutions;
• Monitor model performance, forecast stability, and business impact over time.
   

Requirements:

• Bachelor’s Degree in Mathematics / Engineering / Computer Sciences / Quantitative Economics / Econometrics;
• Strong mathematical background in Linear algebra, Probability, Statistics & Optimization Techniques;
• At least 2 years working experience on Data Science;
• Experience of the full cycle of model implementation (data collection, model training and evaluation, model deployment and monitoring);
• Ability to work independently, proactively, and to decompose complex problems into actionable tasks.
   

Skills:

• Strong proficiency in Python with solid application of object-oriented programming (OOP) principles (modular design, reusable components, maintainable code);
• Solid experience in time series forecasting and regression modeling;
• Practical knowledge of:o Classical and ML forecasting techniques;
  o Statistical methods (hypothesis testing, confidence intervals, A/B testing);
• Advanced SQL skills (window functions, complex queries);
• Experience building automated ML pipelines;
• Understanding of MLOps principles (model versioning, monitoring, CI/CD for ML).
   

Nice to have:

• Hands-on experience with AWS SageMaker (training jobs, endpoints, model registry);
• Experience with Apache Airflow for data and ML workflow orchestration;
• Knowledge of Reporting and Business Intelligence Software (Power BI, Tableau);
• Experience working with large-scale production data systems.
   

What We Offer:

• Competitive salary;
• Professional & personal development opportunities;
• Being part of dynamic team of young & ambitious professionals;
• Corporate discounts for sport clubs and language courses;
• Medical insurance package.

Location: Remote
Employment Type: Full-time / Long-term
Domain: Logistics
About the Project
We are looking for a Senior AWS Data Engineer to design and build a centralized data platform from scratch for a logistics product running on AWS.
The platform uses a microservices architecture with Amazon RDS MySQL (~136 GB production database). Currently, BI dashboards are spread across multiple subsystems. The goal is to centralize data and enable management to make informed decisions based on crew compliance, certifications, and operational performance.

Responsibilities
Design and build a scalable AWS data platform and data lake from scratch.
Develop ETL/ELT pipelines from MySQL (Amazon RDS).
Design data models optimized for analytics and reporting.
Integrate BI tools such as AWS QuickSight, Metabase, or Apache Superset.
Ensure data quality, security, and strict customer data segregation.
Collaborate with engineering and business teams to deliver reliable reporting solutions.

Requirements
5+ years of experience as a Data Engineer.
Strong hands-on experience with AWS.
Experience building data lakes using Amazon S3.
Experience with AWS Glue and Amazon Athena.
Strong SQL and MySQL skills.
Experience designing ETL/ELT pipelines.
Knowledge of data warehousing and data modeling principles.
Experience working with cloud-based microservices architectures.
Upper-Intermediate English (B2+) or higher.

Nice to Have
Experience with AWS QuickSight, Metabase, or Apache Superset.
Python for data engineering.
Experience in Logistics or Supply Chain projects.

N-iX is a global software development service company that helps businesses across the globe create next-generation software products. Founded in 2002, we unite 2,400+ tech-savvy professionals across 40+ countries, working on impactful projects for industry leaders and Fortune 500 companies. Our expertise spans cloud, data, AI/ML, embedded software, IoT, and more, driving digital transformation across finance, manufacturing, telecom, healthcare, and other industries. Join N-iX and become part of a team where your ideas make a real impact.

We're looking for a hands-on Senior Data Engineer who can independently design and deliver end-to-end data solutions. You'll work directly with business stakeholders to understand requirements and transform them into scalable data platforms, analytics solutions, and AI-enabled applications. The ideal candidate is comfortable owning initiatives from discovery through implementation while collaborating closely with the engineering team.

This role requires deep expertise in Snowflake and modern cloud data platforms, along with strong SQL, Python, and data modeling skills.

Working hours: Europe and Ukraine (with the ability to work till around 2:00-3:00 PM CST/ 09:00-10:00 PM CET/ 10:00-11:00 PM EET).

Key Responsibilities:

• Design, build, and maintain scalable end-to-end data pipelines from ingestion through transformation and reporting.
• Develop robust data warehouse solutions using modern data modeling techniques (Kimball, Data Vault, or normalized models).
• Build and optimize Snowflake-native solutions using Dynamic Tables, Streams, Tasks, Stored Procedures, and Snowpark.
• Design high-performance SQL queries and optimize warehouse performance, clustering, and search optimization.
• Develop Python-based data processing and API ingestion workflows.
• Build and maintain data movement and orchestration pipelines using Azure Data Factory and Azure cloud services.
• Design and optimize Power BI semantic models, reports, and dashboards for business stakeholders.
• Collaborate directly with business users to gather requirements, define technical solutions, and deliver business value.
• Implement CI/CD practices, governance, RBAC, and data security within Snowflake environments.
• Contribute to AI-enabled data solutions using modern AI platforms and machine learning workflows.
• Mentor other engineers through code reviews, technical guidance, and engineering best practices.

Requirements:

• 5+ years of hands-on experience as a Data Engineer building and delivering end-to-end data solutions.
• 3+ years of hands-on experience with Snowflake, including building production-grade data pipelines using Dynamic Tables, Streams, Tasks, Stored Procedures, and Snowpark.
• Expert-level SQL skills with extensive experience optimizing complex queries and designing high-performance data warehouses.
• Strong experience designing and implementing enterprise data models using dimensional modeling (Kimball), Data Vault, or normalized approaches.
• Advanced Python programming skills for data processing, API integrations, workflow automation, and ETL/ELT development.
• Experience building and maintaining cloud-based data platforms on Microsoft Azure, including Azure Data Factory, Azure Functions, and Azure Data Lake Storage (ADLS Gen2).
• Strong experience developing business intelligence solutions using Power BI, including data modeling, DAX, and report performance optimization.
• Experience implementing CI/CD pipelines, version control, RBAC, and data governance practices for modern data platforms.
• Experience building AI-enabled data solutions using technologies such as Snowflake Cortex, Azure AI Foundry, Azure Copilot Studio and Python-based machine learning frameworks.
• Experience working directly with business stakeholders to understand requirements, translate them into technical solutions, and independently deliver projects from concept through implementation.
• Excellent communication skills and the ability to collaborate effectively across cross-functional teams.
• English Upper Intermediate+

Nice to Have

• Snowflake certification.
• Microsoft Azure certification.

🚀 We’re on the hunt for a talented AI/ML Engineer to design, implement, and optimize cutting-edge AI/ML solutions. If you thrive on solving complex problems and creating production-ready models, we’d love to hear from you!

🎯 What You’ll Do:

• Develop and fine-tune AI/ML models for performance and scalability.
• Enhance production models, debug issues, and ensure reliability.
• Work with cross-functional teams to shape future AI/ML innovations.
• Explore emerging AI/ML technologies and recommend tools/frameworks.
• Build robust pipelines using Python, SQL, Docker, and more.

🧩 What We’re Looking For:

• Strong experience in AI/ML, data science, or data engineering.
• Expertise in Python, TensorFlow, Keras, Scikit-learn, and Generative AI.
• Familiarity with Docker, Streamlit, and data tools like Pandas and SQL.
• Strong communication skills and the ability to work independently.
• English: Upper-intermediate or higher.

🎯 We offer:

• Paid vacation and sick leave
• We provide the equipment you need to work comfortably (if required)
• We cover 50% of courses if you want to grow professionally
• Regular salary reviews based on your performance
• Competitive salary, depending on your experience
• Always on-time payments — no delays

• A normal, supportive team without unnecessary bureaucracy

   

Ready to shape the future of AI/ML with us? 🚀 Apply now and be part of something extraordinary!

🚀We are looking for an experienced Data Scientist for a full-time job to join our team.


🎯 Requirements:
-2+ years of experience as a data scientist
-BSc in Mathematics, Statistics, Computer Science, Economics, or another related field.
-Experience in using Python & SQL
-Experience with Airflow and GCP
-Experience with Git & CI/CD
-Upper Intermediate English — written and spoken
-Ability to design creative solutions for complex requirements
-Ability to learn and lead projects independently, and to work with minimal supervision with customers (tech & business)

🧩 Responsibilities:
-Conduct independent research, including defining research problems, creating research plans, designing experiments, developing algorithms, implementing code, and performing comprehensive comparisons against existing benchmarks;
-Clearly communicate your research findings to both technical and non-technical audiences
-Work on various data sources and apply sophisticated feature engineering capabilities
-Bring and use business knowledge
-Build and manage technical relationships with customers and partners.

🎯 We offer:

• Paid vacation and sick leave
• We provide the equipment you need to work comfortably (if required)
• We cover 50% of courses if you want to grow professionally
• Regular salary reviews based on your performance
• Competitive salary, depending on your experience
• Always on-time payments — no delays
• A normal, supportive team without unnecessary bureaucracy

About the Role

Our client is a global fintech company and one of the world's leading platforms for financial analytics and investment insights. They are looking for a Senior Data Analyst to help drive product decisions through data and uncover actionable insights from user behavior across web and mobile platforms.

Responsibilities

• Analyze user behavior and product performance using raw data.
• Define, track, and optimize key product KPIs.
• Build dashboards and perform deep-dive analyses to support business decisions.
• Design, monitor, and evaluate A/B tests.
• Analyze and improve key metrics, including Conversion, Retention, Churn, Engagement, and Revenue.
• Partner with Product, Engineering, and Business teams to deliver data-driven recommendations.

Requirements

• 5+ years of experience as a Data Analyst in a B2C product environment.
• Advanced SQL skills with experience writing complex analytical queries.
• Hands-on experience with BI tools such as Looker, Tableau, or Power BI.
• Strong understanding of product analytics, web/mobile user behavior, and A/B testing.
• Excellent analytical and problem-solving skills.
• Upper-Intermediate (B2+) or higher level of English.

About the Role:

We are looking for an experienced AI Transformation Lead to drive the adoption of Generative AI across our global organization. This is a strategic, cross-functional role focused on helping business and technology teams integrate AI into their daily workflows, improve productivity, and establish AI best practices.

This is not a Machine Learning or AI Engineering role. Instead, you will be responsible for identifying opportunities where AI can create business value, introducing modern AI tools and workflows, enabling teams through training and best practices, and embedding AI into everyday operations.

Key Responsibilities:

• Drive company-wide AI adoption initiatives across business and technology teams.
• Identify opportunities to improve business processes through AI-powered solutions.
• Evaluate, recommend, and implement modern AI tools and workflows.
• Develop AI best practices, prompting standards, governance, and usage guidelines.
• Deliver AI training sessions, workshops, and enablement programs.
• Partner with Functional Architects, Software Engineers, QA, DevOps, Project Managers, and Customer Support teams to maximize AI adoption.
• Continuously monitor emerging AI technologies and recommend innovative solutions.

• Measure AI adoption, business impact, and continuously optimize AI-enabled processes.

   

How You Will Make an Impact:

You will help different teams leverage AI to improve efficiency and quality, including:

Functional Architecture

• User Stories
• Functional Specifications
• Business Documentation
• User Manuals

Software Engineering

• AI-assisted code generation
• Code reviews
• Refactoring
• Documentation
• Architectural guidance

Quality Assurance

• Test case generation
• Regression test suites
• Test data generation
• Test automation improvements

DevOps

• Infrastructure scripting
• Deployment automation
• Monitoring and troubleshooting
• Operational runbooks

Project Management

• Meeting summaries
• Project planning
• Status reporting
• Action tracking

Customer Support

• Knowledge base creation
• Troubleshooting guides

• Customer communications

   

What We’re Looking For:

• Proven experience leading AI adoption, digital transformation, or process improvement initiatives.
• Strong understanding of Generative AI technologies and their practical business applications.
• Hands-on experience with AI productivity tools such as ChatGPT, Microsoft Copilot, GitHub Copilot, Claude, Gemini, Cursor, Perplexity, or similar platforms.
• Ability to identify automation opportunities and translate AI capabilities into practical business solutions.
• Experience designing AI-enabled workflows across multiple business functions.
• Excellent communication, facilitation, and stakeholder management skills.
• Strong understanding of Software Development Life Cycle (SDLC), Agile methodologies, and modern software engineering practices.

• Experience collaborating with cross-functional teams in technology-driven environments.

   

Nice to Have:

• Background in Software Engineering, Solution Architecture, Engineering Management, Technical Consulting, or Digital Transformation.
• Experience implementing enterprise AI initiatives.
• Experience developing AI governance frameworks and responsible AI practices.

• Familiarity with Microsoft 365, Atlassian, Google Workspace, or similar enterprise collaboration platforms.

   

If you are passionate about helping organizations transform the way they work through AI, we would love to hear from you.

We are looking for a Business Analyst who will support the Project Manager by handling core analytical tasks: gathering requirements, translating business needs into clear specifications, validating tasks, and supporting integrations. You’ll prepare performance reports, analyze product results, and provide data-driven recommendations.
You will streamline processes by documenting workflows, optimizing the task pipeline, and consolidating information. Acting as a bridge between business and development, you’ll ensure clear requirements, transparent statuses, and smooth communication. The role also includes light product-management support across several products.

What You Will Do:
1) Data Analytics

• Collect, analyze, and interpret product data;
• Prepare regular and ad-hoc reports on profitability, feature performance, and launches;
• Use Google Sheets and BI tools; help build and optimize dashboards.

2) Requirements Management

• Gather and clarify requirements, identify hidden needs;
• Prioritize incoming requests, assess feasibility and risks;
• Prepare clear documentation: user stories, acceptance criteria, use cases, specs.

3) Collaboration with Development

• Communicate requirements and support developers with clarifications;
• Keep documentation up to date and monitor task progress;
• Support integrations from the analytical side.

4) Process Optimization

• Analyze current workflows and identify bottlenecks;
• Implement improved processes for a growing team;
• Bring structure to task flows and information.

Requirements:
Must-Have:

• 2–4 years as BA or SA;
• iGaming experience;
• Understanding of web apps, APIs, integrations;
• Strong requirements-writing skills;
• English language (Intermediate level);
• Strong analytical mindset, independence, proactivity;
• Ability to handle high workload and switch contexts;
• Comfortable working with IT, PM, sales, operations;
• Comfortable with ambiguity; eager to grow.

Nice-to-Have:

• BI experience or willingness to learn;
• Basic SQL;
• Understanding of product analytics.

We need someone who:

• works independently and proactively;
• quickly adapts to new contexts;
• is curious, initiative-driven, and improvement-oriented;
• takes responsibility and can justify decisions;
• is flexible and ready for a wide range of tasks.

We offer:

• Convenient work schedule (8/9/10/11 — 17/18/19/20);
• 21 working days of vacation;
• 10 working days of sick leave;
• Extra days off for birthday, wedding, etc and for public holidays;
• Payment for training;
• Financial and intangible gifts from the company;
• Free communication, the ability to influence processes and implement your ideas;
• Comfortable and easy management, no tyranny.

How We Hire:
We’re not here to make you jump through flaming hoops (unless that’s your hobby — in which case, we’ll cheer you on). Our goal is to see if we’re a good match for each other — and to make sure you enjoy the ride.
1. Pre-Screen Call — 30 min
A quick hello with one of our recruiters. We’ll talk about your background, your goals, and what you’re looking for. In return, we’ll tell you more about ABXplay, the role, the team, and answer any burning questions.
2. Hard Skills Interview — 45–60 min
You’ll meet your potential manager. We’ll dive into the real stuff — your future responsibilities, the challenges ahead, and the kind of work you’d actually be doing (no mystery here).
3. The Offer Stage

 

effie is an international software product company. We discover new and unconventional approaches to tackling business challenges by providing global cloud-based SaaS solutions, leveraging the sharing economy and AI capabilities.
In addition to developing innovative software products, we offer a full range of services, including deployment, training, administration, optimization, process automation, technical support, and business analytics consulting.
Our main expertise lies in optimizing business processes for manufacturers, distributors, merchandising agencies, and retail chains in the CPG (including FMCG) and pharmaceutical industries.

• 130+ team members
• 100+ clients across 13 countries, including PepsiCo, Coca-Cola, Nestlé, Shell, Nemiroff, Philip Morris, and others
• 27,000+ users of our services
• Microsoft Gold Partner
   

What We Value:

• Passion - You can only make customers happy if you truly love what you do
• Trust - The foundation of all relationships, inside and outside the company
• An Eye for Excellence - A deep appreciation for quality in every form
• Simplicity - The best things don’t need extra explanation

We are looking for a skilled Power BI Engineer to join our data team. You will be responsible for designing and delivering end-to-end analytics solutions — from connecting to raw data sources to publishing polished, actionable reports.
In this role you will work closely with the Business Analysis team to understand reporting needs and translate business requirements into reliable BI solutions. You will also collaborate with the teams responsible for data source changes, ensuring that any upstream modifications are properly handled and do not impact the stability of existing reports and datasets.
This role sits at the intersection of data engineering and business intelligence, requiring both technical depth and a good understanding of business context

Responsibilities:

• Connect to and work with data sources, primarily SQL-based (Azure SQL)
• Design and build semantic datasets in Power BI Desktop, including data models, relationships, and DAX measures
• Develop interactive reports and dashboards in Power BI Desktop and publish them to Power BI Service
• Build and maintain Microsoft Fabric entities: Warehouses, Data Pipelines, and Data Agents
• Optimize data models for performance and usability
• Maintain data accuracy and consistency across all BI assets
• Support report consumers and troubleshoot issues in existing reports and datasets
   

Requirements:

• 1+ years of experience with Power BI (Desktop and Service)
• Strong SQL skills — ability to write complex queries, CTEs, and stored procedures
• Solid understanding of data modeling concepts (star schema, snowflake schema)
• Hands-on experience with DAX — calculated columns, measures
• Understanding of row-level security (RLS)
• Strong attention to detail and ability to work independently
• Hands-on experience with AI-assisted development tools such as GitHub Copilot

Nice to have

• Knowledge of Python or PySpark for data preparation tasks
• Experience working with Microsoft Fabric: Warehouses, Data Pipelines, Data Agents
• Microsoft certifications: PL-300 (Power BI Data Analyst) or DP-600 (Fabric Analytics Engineer)

What we offer:

• Remote work model
• Office in Kyiv, a 15-minute walk from Sviatoshyn metro station, featuring a shelter and all necessary amenities for uninterrupted work during power outages and blackouts
• Free parking for cars, motorcycles, and bicycles
• 21 working days of paid vacation, plus paid sick leave
• 12 additional days off per year
• An experienced, open-minded team with global growth potential

We're Gypsy Collective. The digital world is evolving faster than ever. New opportunities, new challenges, new ambitious goals. That’s why strong businesses need strong people. 

Gypsy Collective is an exclusive talent partner for selected brands. We help our partners attract exceptional talent by building long-term relationships and becoming deeply integrated into their business, culture, and growth ambitions.

We are looking for a Middle DWH Engineer to design, build, and maintain scalable data warehouse solutions that support analytics and business decision-making. You will work across the full data lifecycle - from data ingestion and transformation to orchestration and optimization - while collaborating with analysts, engineers, and business stakeholders.

📅  Your adventures include:

• design, develop, and maintain DWH and Data Lake solutions aligned with business requirements;
• build, optimize, and support ETL/ELT pipelines using Python, SQL, Airflow, and related technologies;
• integrate and maintain data flows from APIs, databases, SaaS platforms, and third-party systems;
• work with PostgreSQL, Trino, and cloud-based analytical platforms to support reporting and analytics needs;
• implement and support incremental loading, CDC processes, backfills, and reprocessing workflows;
• monitor, troubleshoot, and improve data pipelines to ensure reliability, stability, and timely delivery of data;
• implement data quality checks, validation rules, and automated monitoring processes;
• optimize SQL queries, data models, and pipeline performance;
• collaborate with analysts, BI developers, engineers, and business stakeholders to deliver scalable data solutions;
• participate in code reviews and contribute to engineering standards and best practices.

🧭 What makes you a great match:

• strong SQL skills, including complex queries, CTEs, window functions, analytical queries, and query optimization (3+ years);
• strong experience integrating external data sources, including REST APIs, databases, SaaS platforms, and third-party systems; ability to design, develop, troubleshoot, and maintain reliable data ingestion processes in production environments (3+ years);
• experience with Apache Airflow or similar workflow orchestration tools (3+ years);
• experience with Python for data processing, integrations, and automation (2+ years);
• good understanding of DWH concepts, including ETL/ELT, dimensional modeling, Data Vault, and Star/Snowflake schemas (3+ years);
• experience building and supporting production data pipelines with a focus on reliability, stability, monitoring, and error handling;
• understanding of data quality principles, including validation, testing, reconciliation, and monitoring;
• hands-on experience with PostgreSQL and Trino in production environments;
• experience with modern analytical databases or cloud data warehouses (such as BigQuery, Snowflake, Redshift, ClickHouse, Vertica, Athena, or similar platforms.);
• experience with Git and collaborative development workflows (pull requests, code reviews, rebasing, merge conflict resolution).

⭐ Nice to Have

• experience with Change Data Capture (CDC) tools and incremental loading strategies;
• experience with cloud platforms such as AWS, GCP, or Azure;
• familiarity with Docker and containerized environments;
• experience with streaming or near real-time data pipelines (Kafka);
• familiarity with dbt or similar data transformation frameworks;
• experience with data cataloging, lineage, or governance tools.
   

Benefits

• 💸 Flexible payment options: choose the method that works best for you.
• 🧾 Tax assistance included: we handle part of your taxes and provide guidance on the local setup.
• 🎁 Financial perks: Bonuses for holidays, B-day, work milestones and more - just to show we care.
• 📈 Learn & grow: We cover courses and certifications — and offer real opportunities to grow your career with us.
• 🥐 Benefit Сafeteria: Choose what suits you — sports, language courses, therapy sessions, and more.
• 🎉 Stay connected: From team-building events to industry conferences — we bring people together online, offline, and on stage.
• 💻 Modern Equipment: We provide new laptops along with essential peripherals like monitors and headphones for a comfortable workflow.
• 🕘 Your schedule, your rules: Start your day at 9, 10, or even 11 — we care about results, not clock-ins.

N-iX is a global software development service company that helps businesses across the globe create next-generation software products. Founded in 2002, we unite 2,400+ tech-savvy professionals across 40+ countries, working on impactful projects for industry leaders and Fortune 500 companies. Our expertise spans cloud, data, AI/ML, embedded software, IoT, and more, driving digital transformation across finance, manufacturing, telecom, healthcare, and other industries. Join N-iX and become part of a team where your ideas make a real impact.

About the Project:

N-iX is assembling a dedicated delivery team for an intensive, high-visibility engagement with a US-based payments-technology business that is being carved out of its parent company into a standalone entity. The platform processes card payments end to end for thousands of institutional customers through five production .NET applications — including a central payment gateway, a registration platform with an in-house encrypted card vault, an AWS-native ticketing / point-of-sale product, and a large commerce application with a single-tenant, per-customer database model.

Within a hard 90-day window the team delivers: an independent security assessment (penetration testing with code-assisted and cloud review), remediation of critical and high-severity findings verified by retest, end-of-life framework and dependency upgrades, and discovery / sequencing support for the transfer of the Azure and AWS estate to the new owner. The work is fast-paced, brownfield and security-centric, with direct exposure to the client's CTO-level stakeholders and a realistic Phase 2 (re-architecture and platform integration) for continuation.

Role Overview:

We are looking for a Senior Database Engineer (50% allocation) to own the database layer of the security remediation. The flagship legacy application runs a single-tenant model with roughly 2,000 production SQL Server databases (one per customer), and the registration platform stores encrypted cardholder data in a card vault whose business logic lives in T-SQL stored procedures. Nothing here can be done by hand at estate scale: the role is about programmatic scanning, schema-change automation and repeatable, evidence-producing runbooks that the client's retained team can execute estate-wide.

Key Responsibilities:

• Design and run programmatic security scanning across the single-tenant SQL Server estate (~2,000 databases): configuration, permissions, encryption posture, sensitive-data exposure.
• Build schema-change automation with rollout and rollback tooling — templated migrations executed estate-wide by the retained team from your runbooks; no per-database manual work.
• Review and remediate T-SQL stored procedures and triggers flagged by the security assessment, including the encrypted card vault (deep review is AI-assisted and paired with the security team).
• Support encrypted card-vault data handling and migration scenarios: key-rotation impact, re-encryption, integrity verification.
• Harden the MySQL 8 / AWS Aurora databases of the AWS-native ticketing product.
• Produce retest evidence: before / after states, scripts, execution logs, residual-risk notes.

Requirements & Qualifications

• Experience: 6+ years as a DBA / database engineer on large production estates; proven work where changes are rolled out across hundreds or thousands of databases programmatically.
• Core stack (Must-Have): deep SQL Server 2017/2019 administration and performance; expert T-SQL (stored procedures, triggers); working MySQL 8 / AWS Aurora.
• Automation (Must-Have): schema-change automation across many single-tenant databases — templated migrations, batching, verification, rollback.
• Sensitive data (Must-Have): hands-on experience with encrypted data stores — encrypted card-vault handling / migration, key-rotation and re-encryption scenarios.
• Nice-to-Haves: Cosmos DB; DynamoDB; Azure SQL Managed Instance; PCI DSS exposure.
• English: fluent written and spoken English (B2+) for documentation, evidence packages and client calls.
• Working hours: standard EU hours with 2–3 hours of overlap with US Eastern Time for client ceremonies.

We offer*:

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

*not applicable for freelancers

About the Role

We’re seeking a  Business Analyst/Product Manager to ensure flawless delivery of features to our customers. You’ll work hands-on with development teams to execute the product roadmap defined by our CPO, maintain high quality standards, track team performance metrics, and ensure releases happen on schedule without delays.

This is an execution-focused role. You’ll translate business requirements into technical specifications, manage the delivery process, minimize bugs and incidents, and ensure our customers receive high-quality features on time.

Role Type: Business Analyst (Execution & Delivery focused)

Time Allocation:

Feature Delivery (50% of your time) 

• Manage product backlog for development teams, ensuring 2+ sprints are always groomed 
• Write detailed user stories with clear acceptance criteria and edge cases 
• Conduct bi-weekly sprint planning and weekly backlog refinement sessions 
• Ensure 95%+ of releases ship on scheduled dates - no delays, no excuses 

• Remove blockers proactively to keep teams on track 

   

Technical Documentation (20%) 

• Prepare Business Requirements Documents (BRD) outlining business objectives and scope 
• Write comprehensive Product Requirements Documents (PRD) including:  
• Functional specifications and user flows 
• API specs, data models, integration requirements 
• Technical constraints and performance considerations 
• Acceptance criteria and test scenarios 

• Maintain clear documentation in Confluence for engineering and stakeholders 

   

Quality & Incident Management (15%) 

• Drive bug reduction initiatives - target <3% bug escape rate 
• Manage P0/P1 incidents: triage within 30 minutes, resolve within 4 hours 
• Document post-mortems with root cause analysis and preventive actions 
• Track quality metrics: bug rates, regression issues, technical debt 

• Collaborate with QA on test coverage and automation priorities 

   

Metrics & Reporting (15%) 

• Track team performance: velocity, cycle time, lead time, commitment accuracy 
• Build dashboards in Jira showing real-time delivery health 
• Present quarterly metrics to CPO showing delivery trends and quality improvements 
• Coordinate with stakeholders: Customer Success (weekly), Sales (bi-weekly), Support (weekly) 

Report To: Chief Product Officer (CPO)
Location: Remote (Europe/US time zones preferred for team overlap)

Must-Have Qualifications

• Experience 3-5+ years as Business Analyst  or Product Manager in B2B SaaS, cloud software, or CRM solutions
• Proven track record of on-time delivery: Be ready to share specific metrics (e.g., “Achieved 95% on-time release rate over 12 months”)
• BRD/PRD writing experience: At least 2 years writing technical specifications for engineering teams
• Agile/Scrum mastery: 3+ years managing backlogs, writing user stories, leading sprint ceremonies
• Quality focus: Experience reducing bug rates and managing incident response

• Technical proficiency: Understanding of APIs, cloud platforms, CRM integrations, data models

   

Skills

• Execution Excellence: Ability to drive features to completion on schedule, removing blockers proactively
• Technical Documentation: Strong writing skills for BRD/PRD with clarity and detail
• Analytical: Can track and present team performance metrics (velocity, cycle time, bug rates)
• Quality Mindset: Obsessed with reducing bugs, improving processes, preventing incidents
• Communication: Fluent English (C1/C2), able to explain requirements to technical and non-technical audiences
• Prioritization: Can make quick trade-off decisions to keep releases on track

• Incident Management: Experience triaging and coordinating response to production issues

   

Tools Proficiency

• Jira/Linear: Advanced backlog management, sprint planning, reporting
• Confluence: Documentation, BRD/PRD templates, knowledge management
• Analytics: Mixpanel, Amplitude, Google Analytics for feature tracking

• Design: Figma collaboration for UI/UX specifications

   

   

Mindset

• Delivery-focused: Obsessed with hitting release dates and shipping quality features
• Detail-oriented: Catches edge cases, writes comprehensive acceptance criteria
• Proactive problem-solver: Removes blockers before they impact timelines
• Quality-driven: Won’t ship until it’s right, balances speed with quality
• Team player: Supports engineering, collaborates with cross-functional teams
• Customer-centric: Understands impact of delays and bugs on customer experience

🌟 Nice-to-Have (Bonus Qualifications)

Experience

• 3-5+ years product ownership experience (for Senior-level consideration)
• Previous experience in CRM industry (Salesforce, HubSpot, Pipedrive ecosystem)
• Background as Business Analyst, Solutions Engineer, or QA Lead (strong documentation skills)
• Experience with DevOps practices (CI/CD, release automation, monitoring)
• Incident management training (ITIL, SRE practices)

• Experience managing API products or developer-facing features

   

Skills & Knowledge

• SQL proficiency: Can write queries to analyze feature usage and performance
• Scripting/automation: Python, JavaScript for data analysis or tooling
• Advanced Jira: Custom workflows, automation rules, dashboard creation
• API documentation: Swagger/OpenAPI specification writing

• Performance testing: Understanding of load testing and scalability considerations

   

Why Join Proxima CRM?

Execution Impact: Your work directly affects customers. Every feature you deliver improves their workflow and business outcomes.

Quality Culture: We value doing it right over doing it fast (but we do both). You’ll have support to maintain high standards.

Modern Processes: We use best practices in Agile, documentation, and incident management. You’ll work with experienced teams.

Growth: Early product ownership hires have opportunities to take on more scope, mentor others, and grow into leadership roles.

Flexibility: True remote-first. Work from anywhere with flexible hours and async-first culture.

Proxima CRM is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

RedCore is an international business group that creates technological solutions for digital markets. 

Our products and services cover fintech, marketing, e-commerce, customer service, communications, and regulatory technologies.

Powering Growth from the Core — this is the key mission laid under RedCore’s strong foundation. This is how we consistently stay ahead: by evolving and creating scalable solutions, while remaining committed to open and transparent communication with our partners.

We’re looking for a sharp and driven Senior Business Analyst to join our team!

Requirements:

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

Will be plus:

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

Responsibilities:

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

Our benefits to you:
- Modern corporate equipment based on macOS or Windows and additional equipment are provided
- Paid vacations, sick leave, personal events days, days off
- Referral program — enjoy cooperation with your colleagues and get the bonus
- Educational programs: regular internal training sessions, compensation for external education, attendance of specialized global conferences
- Rewards program for mentoring and coaching colleagues
- Free internal English courses
- In-house Travel Service
- Multiple internal activities
- Other benefits could be added based on your location