Jobs Data & Analytics

We are looking for a talented Agentic Full stack Engineer (AI-Native Delivery) with 3+ years of commercial full stack experience, to join an established, revenue-generating B2B platform for the materials industry.

This is not a "write code with AI" role — it's an operate AI agents role: decompose work, fan it out to parallel coding agents, verify adversarially, ship across the stack.

JOB REQUIREMENTS:

Must have:

• 3+ years of commercial fullstack development experience (React + Node.js/TypeScript, or Python)
• Hands-on, practical experience directing multiple AI coding agents in parallel — isolated worktrees/branches, adversarial verification of agent output, spec-driven development, and building reusable AI skills/hooks/commands for recurring workflows 
• Working knowledge of PostgreSQL and basic understanding of cloud infrastructure (Terraform/AWS)
• Ability to work fully autonomously and communicate directly with an English-speaking client team without a manager in between
• English — Upper-Intermediate or higher

Nice to have:

• Experience with SAP / enterprise ERP integration (RFC/BAPI, ABAP, customer & order master data)
• Experience in multi-tenant / B2B SaaS platforms
• Familiarity with compliance frameworks (GDPR, SOC 2, ISO 27001)
• Experience building internal tooling for other engineers
• Design-system literacy

Key Responsibilities:

• Full-stack development across the client's platform — from a React component to a Postgres row-level-security policy to a Terraform module
• Cross-boundary root-cause debugging: auth, pagination, dependency conflicts, integration mismatches
• Turning recurring tasks into reusable AI agent skills, hooks, and commands so the next run is faster
• Proving results with concrete evidence — fixtures, payloads, read-back records — rather than relying on a green CI badge alone

PROJECT

Customer: Established, revenue-generating international platform for the materials industry, backed by a large global industrial distribution group.

Type: B2B SaaS / marketplace platform.

Product: The platform serves as a digital backbone for companies across the materials industry — chemicals, polymers, elastomers, rubber — replacing a patchwork of separate CRMs, ERPs, and spreadsheets with one connected system that turns commercial interactions and physical assets into structured, usable data.

Market: Global materials/chemicals industry, client team based in the US.

Stage: Mature, actively growing platform with an established engineering team (not a from-scratch build).

Project team: 3 developers, 2 QA, 1 DevOps on the delivery side, plus a dynamic client-side team. 

Work schedule: Full-time, full remote 

INTERVIEW STAGES:

• 1-st stage — Call with the Recruiter
• 2-nd stage — Interview with the technical specialist and the recruiter

• 3-rd stage —  Interview with the client

   

OUR BENEFITS:

• Projects with modern JS stack (React.js, React Native, Angular, Node.js)
• Strong JavaScript community at the company (90+ developers)
• Work from anywhere (fully remotely or in our office)
• Paid vacations and sick-leaves, additional days-off, relocation bonus
• Wellness: Medical insurance/ sport compensation/ health check-up+flu vaccination at your choice
• Education: regular tech-talks, educational courses, paid certifications, English classes
• Fun: own football team, budget for team-lunches, branded gifts
• One of the best IT employers in Lviv (or IT service companies in Ukraine) based on DOU rating

We are hiring a Senior Data Analyst for our client.

Our client is a fast-growing consumer health brand in the gut health / probiotics space, operating primarily on the U.S. market. The company sells products through major retail chains and online marketplaces and is scaling its operations across e-commerce, logistics, finance, and internal analytics. Automation and system integrations play a critical role in supporting this growth.

The role is focused on building and maintaining integrations between internal tools and external services, automating operational workflows, and ensuring reliable data flows across systems.

We are looking for a Senior Data Analyst to support data-driven decision-making across our omnichannel business (Amazon, TikTok Shop, Walmart, Target). This role partners with Marketing, eCommerce and Finance to translate data into insights that drive company growth and profitability.

WHAT YOU WILL DO:

Deep-dive marketplace performance and identify key growth drivers.
Build actionable dashboards and analytical models for: Sales, margin, and profitability, Customer cohorts & LTV, SKU & portfolio performance, New product launch tracking
Meta/Shopify and TikTok Shop performance analytics including: Funnel & conversion behavior, Creator / affiliate performance and ROI, Promotion & pricing impact, Repeat purchase / retention trends
Analyze drivers of growth & decline
Support retail performance tracking
Present insights, trends, and recommendations to senior leadership

JOB QUALIFICATIONS:

Bachelor's Degree in Statistics, Mathematics, Computer Science, Economics or related field.
Proven experience as a data analyst.
Proficiency in data analytics software and tools (must have: Excel, Google sheets, SQL, Power BI (or any other BI tool), Python).
Strong analytical skills with the ability to collect, organize and analyze large amounts of data with accuracy.
Excellent verbal and written communication skills (English: Upper intermediate).

Working format

• Full-time, remote
• Working schedule: 16:00 – 01:00 (Ukrainian time)

What our client offers:

• Competitive compensation aligned with market standards
• A stable full-time role in a growing international business
• Opportunities for professional growth and long-term collaboration
• A flexible, remote-friendly working environment
• Bonuses and benefits system (will be discussed during the interview)

About the company

Are you tired of missing important moments in your weekly game because no one recorded you? Say goodbye to FOMO and hello to PUSHIT!

PUSHIT allows you to easily catch up on all the highlights you did while playing your sports game.

Our advanced replay system allows you to capture moments previously taken, so you never have to miss anything.

See those videos for more information about PUSHIT:

1. https://www.youtube.com/watch?v=uQrXgheKjCg
2. https://www.youtube.com/watch?v=pmdihAft2f8

See our current mobile apps:

1. IOS
2. Android

What is the job

You’ll be the Machine Learning Engineer on a compact, fast-moving team, working directly with the founders. Your mission: design, train, and ship computer-vision models that recognize sports events and generate highlight videos—running both in the cloud and on edge devices.

Responsibilities

• Build & improve CV models – object detection, action recognition, semantic segmentation, tracking, and event classification for multi-camera sports footage.
• Optimize for the edge – convert and quantize models (TFLite/ONNX/RT-Core) so they run in real time on Raspberry Pi 5 and ARM-based phones.
• Own the ML pipeline – data collection, labeling guidelines, experiment tracking (Weights & Biases / MLflow), automated training, and CI/CD to Kubernetes.
• Collaborate cross-functionally – work with backend, video-encoding, and mobile teams to integrate inference results into our NestJS APIs and Flutter/Angular clients.
• Raise the bar – research state-of-the-art techniques, run ablation studies, author technical specs, and mentor future student interns.

Requirements

• Strong Python (3 yrs+) and deep-learning expertise with TensorFlow and/or PyTorch.
• Solid background in computer vision: convolutional nets, attention mechanisms, spatio-temporal models (e.g., I3D, SlowFast).
• Experience deploying models to mobile or edge hardware (TFLite, Core ML, TensorRT, or similar).
• Familiarity with Docker & Kubernetes workflows for scalable training/inference.
• Proven ability to turn research into production code: at least one project or product in the wild (GitHub, app store, or academic publication).
• Comfortable with version control, code reviews, agile tickets, and writing clear documentation.
• Passion for sports—or at least enough curiosity to spot a backhand winner or a slam-dunk replay!

• English—professional level (our dev team is global).

   

Bonus points

• Experience with video encoding pipelines (FFmpeg, HLS, RTMP) or real-time streaming protocols.
• Knowledge of AWS/GCP services for training at scale (SageMaker, Bedrock, Vertex AI).
• Skills in data annotation tooling or active-learning strategies to shrink labeling budgets.
• Background in satellite or aerial image segmentation, sign-language or face-recognition projects (great analogies to sports CV challenges).

• Love for open-source: contributions to CV libraries.

   

Why PUSHIT?

• Ship features that thousands of weekend athletes use every day.
• Work on cutting-edge CV problems with real-time performance constraints.
• Small team ⇒ huge ownership, zero bureaucracy.
• Fully remote
• Competitive salary, early equity, and budget for conferences & GPUs.

About the role and product:
We are looking for an experienced Data Engineer to join the Data &AI team delivering enterprise-grade data platform capabilities. The role centres on building Python-based ETL pipelines across a Medallion architecture, developing and operationalising data quality rules using both Python and the Informatica platform (IDQ, EDC, Axon), and ensuring robust governance integration. 

Responsibilities:
- Design, build, and maintain Python-based ETL pipelines across Bronze, Silver, and Gold layers following the Medallion architecture pattern.
- Develop and operationalise data quality (DQ) rules in Python, covering validity, completeness, consistency, uniqueness, accuracy, and timeliness dimensions.
- Build and maintain DQ rules using Informatica IDQ 10.5 on-premises, including mapplet design, profile configuration, and scorecard setup.
- Support data cataloguing and lineage activities using Informatica EDC, including schema scanning, data classification, and lineage mapping.
- Configure and maintain Informatica Axon for governance workflows, business glossary management, policy enforcement, and surfacing DQ scores to stakeholders.
- Develop cross-system DQ checks including referential integrity, reconciliation, and entity deduplication as scheduled Python jobs.
- Integrate DQ outputs into Power BI dashboards, contributing to the DQ Index Aggregation layer that unifies IDQ scorecard and Python-based scores.
- Support the IDQ–Axon integration, including Axon Agent configuration and DQ metric propagation into Axon dashboards.
- Contribute to the Python DQ framework package, maintaining modular, testable, and well-documented code with comprehensive unit test coverage.
- Support Talend-based ingestion processes at the Bronze layer, ensuring schema conformance and completeness checks.
- Participate in root-cause analysis of DQ failures using the programme’s three-tier classification taxonomy.

Requirements:
- Strong Python development skills, including experience with data processing libraries (pandas, PySpark) and testing frameworks (pytest).
- Hands-on experience with Informatica IDQ 10.5 on-premises: Developer Tool, mapplet design, profiles, scorecards, and expression-based DQ rules.
- Working knowledge of Informatica EDC for schema scanning, data lineage, and data classification.
- Experience with Informatica Axon for governance, business glossary management, HITL steward workflows, and DQ score surfacing.
- Solid understanding of the Medallion architecture (Bronze / Silver / Gold) and data lake design patterns.
- Working knowledge of SQL and relational databases for data validation and reconciliation.
- Experience building production-grade Python ETL pipelines with appropriate logging, error handling, and modular design.
- Experience with CI/CD practices for data pipelines and version control (Git).

Nice to have:
- Familiarity with Talend for data ingestion workflows.
- Exposure to AI/ML techniques for data quality: anomaly detection, entity resolution, DQ score aggregation.
- Experience generating or consuming Informatica IMX-format XML programmatically.
- Knowledge of Power BI for building or maintaining DQ score dashboards.
- Understanding of data governance frameworks, stewardship models, and regulatory reporting requirements.
- Experience with the Informatica IDQ–Axon integration bridge (Axon Agent setup and configuration).

The client offers:
- 24 working days of annual leave.

- 10 sick days.

- All official Ukrainian public holidays are days off.

- All necessary equipment for work is provided by the company.

- Medical insurance after the probationary period (3 months).

- Monthly budget to cover English classes, sports, and psychological support.

- All accounting and payroll administration are handled by the company; salary is paid net in UAH

We are looking for a Business Data Analyst to join a new B2C iGaming startup focused on the CIS market.

The project is currently at an active launch stage, so we need an analyst who already understands online casino economics, player behavior, and core iGaming metrics and can help build the business and product analytics function from the ground up.

📊 Responsibilities

• Build and develop business and product analytics from scratch
• Analyze key iGaming metrics: GGR, NGR, FTD, Deposits, ARPU, LTV, Retention, Conversion, Churn
• Analyze the player funnel: Registration → FTD → Repeat Deposit → Retention
• Perform cohort analysis and player segmentation
• Identify growth opportunities, anomalies, trends, and reasons behind KPI changes
• Analyze the effectiveness of bonuses, CRM campaigns, promotions, and VIP segments
• Build dashboards and regular management reporting
• Prepare actionable insights and recommendations for Product, Marketing, CRM, Finance, and Management
• Support business decisions with data and ad-hoc analysis

🎯 Must-have

• Hands-on experience in Business / Product / Data Analytics within iGaming
• Direct experience with B2C Online Casino
• Strong understanding of casino economics and metrics such as GGR, NGR, FTD, LTV, Retention, ARPU, Deposits
• Confident SQL skills and experience working with large datasets
• Experience with Power BI, Tableau, Looker, or similar BI tools
• Strong analytical thinking and ability to turn data into clear business conclusions and recommendations

➕ Nice to have

• Experience building analytics, reporting, or BI infrastructure from scratch
• Experience with CIS GEO
• Experience working closely with Product, CRM, Marketing, Finance, or VIP teams in iGaming

💻 Conditions

• Remote
• GEO: CIS
• Industry: iGaming / B2C Online Casino
• Project: new startup / launch stage

This role offers an opportunity to join the project at an early stage, directly influence how analytics is built, and work with data that drives product and business decisions.

Description

The Digital Health organization is technology team which focused on next generation Digital Health capabilities which deliver on the Medicine mission and vision to deliver Insight Driven Care. This role will operate within the Digital Health Applications & Interoperability subgroup of the broader Digital Health team, focused on patient engagement, care coordination, AI, healthcare analytics & interoperability amongst other advanced technologies which enhance our product portfolio with new services, while improving clinical & patient experiences.

The project is a cloud-based PaaS Ecosystem built with a privacy by design centric approach to provide a centralized cloud-based platform to store, classify, and control access to federated datasets in a scalable, secure, and efficient manner.

The ecosystem will allow Customer Operating Units (medical device departments) to store federated data sets of varying sizes and formats and control access to those data sets through Data steward(s). Source data sets can be exposed to qualified use cases and workflows through different project types.

The Healthcare Data Platform ecosystem will provide ML/AI project capabilities for streamlined development processes and a ML/AI workbench to enhance data exploration, wrangling, and model training.

OU’s: Currently, Nuero, Cardio, Diabetes is the OU that HDP data platform is working with, but there could be more OU’s coming up with requirements in future.

GL Role: is to work on the enhancement of current capabilities, including taking over the work that AWS proserve team is doing, and develop new requirements that will keep coming from different OU’s in the future.

Requirements

As a System Engineer within the Company Research & Systems Engineering team, you will have the opportunity to work on cloud-based solutions with a strong focus on AWS, Data Engineering, and scalable data platforms. You will collaborate with cross-functional engineering teams to design, develop, integrate, and maintain reliable cloud-native systems and data workflows.

In this role, you will contribute to building and evolving AWS-based architectures, data processing pipelines, and integrations across distributed systems. You will develop a strong understanding of end-to-end system architecture, data flows, infrastructure, and operational requirements, helping to drive technical implementation and delivery throughout the software development lifecycle.

You will work closely with software engineers, data engineers, architects, and other stakeholders to ensure that solutions are scalable, secure, maintainable, and aligned with both technical and business requirements.

• 3+ years of experience in System Engineering, Software Engineering, Cloud Engineering, Data Engineering, or a related technical role.
• Strong software development experience with Python.
• Hands-on experience designing, developing, or supporting solutions on AWS.
• Experience with data engineering concepts and technologies, including data ingestion, ETL/ELT, transformation, validation, and data processing pipelines.
• Strong SQL skills and experience working with relational and/or NoSQL databases.
• Experience with REST APIs, service integrations, and distributed application architectures.
• Understanding of cloud-native architecture principles and modern software development practices.
• Experience troubleshooting applications and distributed cloud systems and performing root cause analysis.
• Experience with Git and modern CI/CD development workflows.
• Strong analytical and problem-solving skills with the ability to understand complex systems and data flows.
• Ability to work effectively with software, data, cloud, and machine learning engineering teams.
• BA/BS in Computer Science, Software Engineering, Information Technology, or a related technical field, or equivalent practical experience.

Preferred Qualifications

• Experience with AWS data services such as S3, Glue, Athena, EMR, or similar technologies.
• Experience with Amazon SageMaker and machine learning development or deployment workflows.
• Experience with Infrastructure as Code using AWS CloudFormation, Terraform, or AWS CDK.
• Experience with AWS monitoring and observability services such as CloudWatch and CloudTrail.
• Experience working in Agile/Scrum development environments.

Job responsibilities

• Work with engineering and cross-functional stakeholders to gather, analyze, clarify, and document business, functional, and non-functional requirements, translating them into clear system and technical requirements.
• Define system requirements, interfaces, data flows, integration requirements, acceptance criteria, and technical constraints for cloud-based software components, data platforms, and integrations.
• Maintain requirements throughout the development lifecycle, ensuring traceability between business needs, system requirements, technical design, implementation, and validation.
• Identify gaps, dependencies, assumptions, and potential technical risks in requirements and work with stakeholders to resolve them before and during implementation.
• Design and contribute to scalable AWS-based architectures supporting data ingestion, processing, transformation, storage, and distribution.
• Analyze data and system behavior to support architecture, implementation, performance, and product decisions.
• Collaborate with Data Engineering, Software Engineering, Cloud Engineering, DevOps, and Architecture teams to design and integrate end-to-end cloud solutions.
• Support operational monitoring, logging, alerting, and troubleshooting of cloud applications and data processing workflows.
• Contribute to system architecture and technical design discussions, including scalability, reliability, security, performance, and cost considerations.
• Participate in technical and requirements reviews to ensure solutions meet defined requirements, engineering standards, cloud best practices, and established software development processes.
• Support continuous improvement of cloud infrastructure, data pipelines, deployment processes, requirements management, and engineering practices throughout the software development lifecycle.

Remote | Full-time | $3,000–4,000/month

We are looking for an experienced DevOps Engineer (Middle+/Senior) to take ownership of the infrastructure behind multiple production environments.

This is a hands-on position with responsibility for production stability, deployments, servers, backups, infrastructure security, troubleshooting, and incident response.

Our infrastructure currently includes approximately 20 separate production broker environments plus core/database infrastructure.

We are looking for someone who can first learn the existing infrastructure and deployment processes and then gradually take full ownership of them.

Environment

Our current environment includes technologies and infrastructure such as:

• Linux / AlmaLinux
• Nginx
• Docker
• GitHub
• CI/CD
• Cloudflare
• Multiple production servers
• Central/core database infrastructure
• CRM applications
• Web-based trading platforms
• REST APIs
• WebSockets / real-time services
• Third-party data/API providers

The exact existing infrastructure will be reviewed during onboarding.

Responsibilities

You will be responsible for the reliability and operation of production infrastructure.

This includes:

• Maintain approximately 20 production environments
• Maintain core/database infrastructure
• Provision new production servers from scratch
• Configure environments for new brands/sub-brands
• Deploy applications and infrastructure changes
• Maintain and improve CI/CD processes
• Manage application and infrastructure configuration
• Configure and maintain Nginx/reverse proxy infrastructure
• Work with Docker/containerized services
• Manage GitHub-related deployment infrastructure, access, keys, and secrets
• Maintain SSL certificates, domains, DNS, and Cloudflare-related infrastructure when required
• Perform server and application migrations
• Move environments between servers when required
• Maintain database infrastructure
• Manage database backups and restoration procedures
• Implement and verify automated backups
• Ensure that backups can actually be restored when needed
• Maintain disaster-recovery procedures
• Monitor server health, CPU, RAM, disk usage, services, and application availability
• Maintain and improve existing monitoring and alerts
• Troubleshoot production incidents
• Investigate infrastructure, network, API, service, and real-time data issues
• Investigate cases where external/internal APIs or data sources stop functioning correctly
• Work with external hosting and infrastructure providers when required
• Maintain infrastructure security
• Manage SSH access, permissions, firewall rules, secrets, and production access
• Perform safe production restarts and updates
• Maintain rollback procedures
• Minimize downtime during deployments and infrastructure changes
• Document servers, services, environments, domains, dependencies, deployment processes, backup procedures, and recovery procedures
• Work closely with Full-Stack Developers and QA

Production ownership

This position requires real ownership of production infrastructure.

We are not looking for someone who only executes predefined commands.

During the onboarding period, you will receive information about the existing environments and infrastructure.

As you become familiar with the system, we expect you to independently:

• Diagnose infrastructure problems
• Determine root causes
• Decide on appropriate technical actions
• Restore affected services
• Coordinate with developers when the issue is application-related
• Verify production health after changes
• Document important incidents and infrastructure changes
• Identify potential infrastructure risks before they become production incidents

Requirements

• 4+ years of commercial DevOps/System Engineering experience or equivalent strong hands-on experience
• Strong Linux administration skills
• Production experience with Linux-based environments
• Strong Nginx knowledge
• Docker experience
• CI/CD experience
• Git/GitHub experience
• Experience managing multiple production environments
• Experience provisioning production servers
• Experience with database infrastructure, backups, and recovery
• Understanding of networking, DNS, SSL/TLS, HTTP/HTTPS, reverse proxies, and firewalls
• Experience troubleshooting production systems
• Experience with monitoring and alerting
• Understanding of infrastructure and application security
• Experience managing SSH access, secrets, permissions, and deployment credentials
• Ability to analyze logs and diagnose application/infrastructure failures
• Experience working with third-party infrastructure/API providers
• Ability to create clear infrastructure documentation
• Ability to work independently after onboarding
• English — Intermediate or higher

Experience with AlmaLinux/RHEL-compatible environments is a strong plus.

Experience with trading or FinTech infrastructure is not required.

Backup and recovery

We expect the DevOps Engineer to maintain a reliable backup and recovery process.

This means not only creating backups but also knowing:

• What is backed up
• How frequently backups are created
• Where they are stored
• How they can be restored
• How a failed production environment can be rebuilt
• How production can be recovered if a server becomes unavailable

Incident response

This is the only position in the team that includes responsibility for urgent production incidents outside standard working hours.

Production incidents outside working hours are not expected to be routine, but when a critical production service becomes unavailable, the DevOps Engineer must be reachable and able to respond.

We expect:

• Reliable availability during normal working hours
• Reasonable emergency availability outside working hours
• Fast acknowledgement of critical production incidents
• Ability to access and investigate production remotely when necessary
• Clear communication during an incident
• Notification to the team if you will be unavailable for a known period

The exact incident-response/on-call process will be agreed with the successful candidate.

First 1–3 months

We understand that the infrastructure contains multiple environments and cannot be fully learned in several days.

The initial period will focus on:

• Understanding existing infrastructure
• Mapping production environments
• Understanding deployments
• Understanding database and service dependencies
• Reviewing access and security
• Reviewing monitoring
• Reviewing backup processes
• Creating/updating infrastructure documentation
• Identifying infrastructure risks and areas for improvement

After the onboarding period, we expect you to be able to manage standard infrastructure operations and troubleshoot most production issues independently.

Working conditions

• Fully remote
• Full-time
• Monday–Friday
• Standard working hours: 09:00–18:00 GMT+3 / 10:00–19:00 GMT+4
• Emergency production availability outside working hours
• Probation/onboarding period: 1–3 months
• Compensation: $3,000–4,000/month, depending on experience and technical level
• Higher compensation may be considered for an exceptionally strong candidate with significant production ownership experience
• Long-term cooperation
• English: Intermediate or higher

What is important to us

Reliability and communication are critical for this role.

We expect the DevOps Engineer to:

• Be reachable during agreed working hours
• Respond to critical infrastructure incidents
• Notify the team about planned periods of unavailability
• Take ownership of production problems
• Investigate root causes rather than only restart services
• Communicate clearly with developers, QA, and the Project Manager
• Document important infrastructure knowledge
• Proactively identify risks
• Gradually reduce dependency on undocumented knowledge held by individual team members

Our goal is to build an infrastructure process where production knowledge, access, deployments, backups, and recovery procedures are documented and are not dependent on one person's memory.

Data Engineer / Migration Specialist (SAP BW to Databricks) 📊🚀
 

ZentixSoft is looking for a Senior Data Engineer! 🚀
 

Format: Full-Time Outstaffing, long-term engagement starting Dec 2026 / Jan 2027 through Q1 2028 (EU-based candidates).
 

💡 Why ZentixSoft? 
💸 Salary Review: A structured system of compensation reviews aligned with your engineering growth. 
⚖️ Work-Life Balance: Sustainable workflows with no senseless overtime, helping you keep your resource fully charged.
 🦾 Trust and Transparency: Zero micromanagement and no invasive time-trackers—we fully trust your professional autonomy. 
🎁 Gifts & Culture: Corporate gifts for holidays, birthdays, and a true team atmosphere where your voice always matters.
 

Our Perfect Match: 
1️⃣ Databricks Expertise: Strong hands-on experience with Databricks, general BI, data platform architecture, and advanced data modeling.
 2️⃣ SAP BW Context: solid background in SAP BW sufficient to analyze existing BW structures, models, and business logic for migration. 
3️⃣ Enterprise Migration: Proven track record in large-scale data migration/modernization projects (ideally leveraging LLM-powered code translation or migration tools). 
4️⃣ Cloud & Domain: Cloud experience with AWS (or comparable platforms); exposure to enterprise Finance domain processes is a big plus. 
5️⃣ Location & Communication: Based in EU countries with English proficiency at B2/C1 level for smooth enterprise stakeholder communication.
 

Project Details: 
⏳ Duration: Dec/Jan start until end of Q1 2028 (Full-time). 

Lead Data Engineer 

Requirements:

- 5+ years of experience in Data Engineering, Analytics Engineering, or a related field

- Strong SQL skills and experience with complex data transformations

- Hands-on experience with modern data platforms such as BigQuery, Databricks, or Snowflake

- Strong experience with ETL/ELT, data orchestration, and data warehousing/lakehouse solutions

- Experience with Airflow, dbt, Spark, and streaming technologies such as Kafka or Kinesis

- Proficiency in Python

- Strong understanding of data modeling and analytics-ready datasets

- Experience working with stakeholders to define requirements and deliver data solutions

- Experience with data quality, metadata, and scalable data pipelines

- Strong English communication skills

- Ability to work with US overlap

Nice to have:

- Data governance, lineage, or metadata management

- Experience with cross-domain data such as customer, product, or transaction data

- Financial services or other data-intensive industry experience

- Experience with data platform migration or evolution toward Databricks

- Dimensional modeling, data marts, and reusable datasets

- Airflow / Cloud Composer

Company offers:

- Long-term employment with possibilities for professional growth

- Fully remote work

- Reasonably flexible schedule

- 15 days of paid vacation

- Regular performance reviews

Are you passionate about transforming complex datasets into actionable insights that shape strategic decisions? This Senior Data Analyst role offers the chance to work on cutting-edge pricing optimization projects for global retail brands, leveraging advanced analytics to drive measurable business impact.

We at Sigma Software are looking for a Senior Data Analyst to join our Data Analytics and Pricing Optimization team. The role is senior-level, full-time, and based in Ukraine, Europe, with flexibility to collaborate with international teams.

Why join us? You’ll work alongside Data Scientists on innovative pricing experiments, contribute to projects that influence market positioning worldwide, and be part of a company that values innovation, global reach, and professional growth.
CUSTOMER
Our customer is a leading retail technology company specializing in pricing optimization software. They partner with global retailers to enhance profitability and competitiveness through data-driven strategies and advanced pricing models. Known for their innovative approach, they deliver solutions that combine business intelligence with cutting-edge algorithms to maximize value for clients.
PROJECT
The project involves implementing and optimizing a sophisticated pricing platform for large-scale retail operations. You’ll work on aligning platform capabilities with client needs, designing pricing experiments, and ensuring adoption through training and support.

Key Technologies: SQL, Python/R, Power BI, Tableau, Looker, Revionics, DemandTec

Job Description

• Analyze business and pricing processes to identify optimization opportunities
• Conduct discovery sessions to understand client needs and processes
• Recommend improvements based on best practices
• Align platform capabilities with client requirements
• Design and validate pricing experiments with Data Scientists
• Configure pricing platform for optimal client setup
• Deliver user training and ongoing support
• Monitor pricing performance and share insights
• Drive user adoption and recommend strategies to maximize platform value

Qualifications

• 5+ years in pricing analytics, data analysis, or related field
• Strong analytical and problem-solving skills
• Proficiency in Excel/Google Sheets and BI tools (Power BI, Tableau, Looker)
• Advanced SQL skills and proficiency in Python or R
• Understanding of data structures, modeling, and warehousing
• Experience in data cleaning and quality assurance
• Proven delivery of impactful analytics solutions
• Knowledge of market analysis, customer segmentation, and psychological pricing
• Excellent communication and stakeholder management skills
• Upper-Intermediate English or higher

WILL BE A PLUS

• Pricing strategy experience (cost-plus, value-based, competitive models)
• Dynamic pricing and price elasticity analysis
• AI/ML applications in pricing
• Familiarity with pricing intelligence tools
• Experience with retail pricing software
• Knowledge of pricing-related legal restrictions

JustMarkets is a global fintech company delivering high-tech trading and investment solutions to millions of clients across 160+ countries since 2012.

We are hiring an AI Automation Specialist to build scalable, AI-driven systems for our global marketing operations.

You will identify manual and repetitive tasks across content, PR, performance, design, and localization, and replace them with smart, scalable automation. This is a hands-on, high-impact role: you will design the systems that let us launch campaigns faster, scale content globally at a low cost, and stay ahead of competitors through automated intelligence.

Responsibilities

• Map current marketing workflows to identify manual bottlenecks and automation opportunities
• Design, build, and maintain end-to-end automation pipelines (Make.com, n8n, Zapier, custom scripts/APIs) covering content and localization workflows, competitor and sentiment monitoring, and performance dashboards
• Write and optimize prompts for LLMs (OpenAI, Anthropic, and others) to produce consistent, on-brand, structured outputs
• Build custom AI agents (GPTs, Claude Projects, or similar) for tasks such as compliance checks, copy-editing, or creative brief generation
• Maintain clean, reliable data flows between Google Sheets, Airtable, CRM systems, and SQL databases
• Monitor, debug, and upgrade existing automations as APIs and tools evolve
• Train the marketing team to confidently use the tools and agents you build

Requirements

• 2+ years of hands-on expertise with automation platforms such as Make.com, n8n, or Zapier
• Practical experience with AI/LLM tools: OpenAI API, Anthropic API, and vector databases or frameworks like LangChain or Flowise
• Experience with web scraping tools (BeautifulSoup, Scrapy, Selenium, or cloud scrapers like Apify)
• Solid understanding of REST APIs, webhooks, JSON, and OAuth authentication
• Strong prompt engineering skills, with the ability to produce consistent, structured outputs from LLMs
• A natural "how can I automate this?" mindset — you enjoy finding creative solutions to manual, repetitive problems
• Ability to explain technical concepts to non-technical colleagues in clear, business-focused language
• An analytical approach — you build automations to solve real problems and can measure their impact
•  Upper-Intermediate English level

We offer

• The opportunity to shape how AI and automation are used across an entire marketing department, from scratch
• Freedom to experiment with a wide range of tools, models, and frameworks to solve real business problems
• Tax expenses coverage for private entrepreneurs in Ukraine
• Expert support and guidance for Ukrainian private entrepreneurs
• 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)

N-iX is looking for a highly skilled Senior System Analyst to join the project aimed at modernizing and developing the client solutions. 

Our client is one of the largest banks in Ukraine, with its headquarters in the EU. They specialize in bank services for businesses and individuals in Ukraine and Europe.

Responsibilities:

• Gather, analyze, and document business requirements for different software systems 
• Write technical documentation (functional and non-functional requirements) and determine development priorities 
• Define, elaborate, and document architectural solutions, design data storage structures, and determine integration points with external/internal systems 
• Perform post-deployment control of new IT system versions 
• Develop specifications, user stories, and business process documentation
• Identify incidents in information systems 
• Train, consult, and support employees involved in preparing development requirements 

• Support project delivery by monitoring progress and assisting in issue resolution

   

Requirements:

• Proven experience as a System/Business Analyst or similar role
• Experience in formalizing software requirements and setting tasks for developers 
• Proficiency with relational (SQL queries, DB structures, transactions, indexes) and non-relational databases 
• Knowledge of non-functional requirement types 
• Knowledge of web technologies, understanding of the strengths and weaknesses of integration protocols (HTTP, SOAP, REST). Experience with SOAP/REST web services and JSON/XML formats 
• Experience with tools such as Jira, GIt, Confluence, or similar
• Proficiency in BPMN and UML modeling languages (Deployment-, Component-, Use Case-, Sequence diagrams) 
• Knowledge of application authentication and authorization methods 
• Understanding of software component interaction patterns 
• Analytical mindset with problem-solving abilities

• Bachelor’s degree in Business, IT, or related field

   

Nice to Have:

• Practical experience in banking or financial services for enterprise clients

• Experience in banking, financials or insurance domain

   

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

Join the Dataforest Team!

We are actively expanding our team and looking for strong new talent to join our ranks. If you are a Data Engineer seeking 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.

Level: Senior Engagement: Long-term contract Location: Europe (EU / EEA / UK), remote Working hours: EU business hours, shifted 2–3 hours later to ensure daily overlap with US West Coast (PST/PDT) mornings

About the Client

Our client is a leading enterprise data platform company building an open, high-performance data lakehouse for AI and analytical workloads. The platform combines an intelligent SQL query engine, an AI-ready semantic layer, and an open catalog built on Apache Iceberg — enabling Fortune 500 companies across finance, energy, manufacturing, and logistics to unify, query, and govern data at massive scale across cloud and on-premise sources.

About the Role

We are looking for a Senior SDET to lead the design of automated test frameworks and testing strategy for a large-scale distributed data platform. You will own the quality of the query engine, connectivity layer, and backend services end-to-end — from framework architecture through CI/CD infrastructure across all major clouds — and mentor middle engineers on the team.

This is a data-heavy, backend-focused role. We are not looking for web/UI QA engineers — the work centers on validating distributed query execution, data correctness at scale, connectivity drivers, and backend microservices.

Responsibilities

• Architect, design, and evolve automated test frameworks in Python / pytest for backend services, REST APIs, and distributed data components.
• Define testing strategy for new features and platform components — coverage, risk assessment, and quality gates.
• Own end-to-end, integration, performance, and regression testing covering SQL query execution, data correctness at scale, and platform APIs.
• Lead performance and load testing efforts with JMeter, including workloads over JDBC / ODBC / Arrow Flight drivers.
• Design and validate large-scale data testing scenarios — query plans, result correctness across heterogeneous data sources, metadata consistency, and behavior under high concurrency.
• Own CI/CD test pipelines in Jenkins — architect, maintain, and continuously improve.
• Provision and manage test environments in Kubernetes (GKE / EKS / AKS) across GCP, AWS, and Azure using Docker; drive automation and reproducibility.
• Investigate complex, cross-layer failures and drive root-cause analysis with engineering.
• Mentor middle SDETs, review test designs, and set quality standards across the team.
• Partner with US-based development leads on shift-left practices, testability, and release readiness.

Required Qualifications

• Education: B.S. or M.S. in Computer Science, Computer Engineering, or a related technical field.
• Programming: Strong proficiency in Python, including pytest, with deep understanding of OOP, software design principles, and test framework architecture.
• SQL & Data: Advanced SQL skills and strong understanding of relational and analytical data systems, including query execution internals.
• Data-intensive testing experience: Demonstrated experience testing data-intensive systems — query engines, ETL/ELT pipelines, streaming platforms, or analytical databases. Candidates with only web/UI QA backgrounds are not a fit.
• Testing experience: 5+ years in backend/system test automation, with demonstrated ownership of test strategy and infrastructure.
• CI/CD & DevOps: Solid experience architecting and maintaining Jenkins pipelines and test environments.
• Containers & Orchestration: Strong working knowledge of Docker and Kubernetes (running workloads, debugging pods, deploying complex environments).
• Cloud: Hands-on experience with at least one major cloud (GCP, AWS, or Azure); exposure to more than one is a strong plus.
• Version Control: Confident with Git / GitHub workflows and code review practices.
• English: Upper-Intermediate or higher (B2+) — daily written and verbal communication with a US-based engineering team.
• Availability: Able to work EU hours with a 2–3 hour shift toward US West Coast time to ensure daily overlap with the client team.
• Leadership: Prior experience mentoring engineers, defining test strategy, or leading a QA/SDET function.

Desired Skills

• Deep experience testing REST APIs and backend microservices at scale.
• Hands-on with distributed computing frameworks (e.g., Apache Spark, Kafka) and MPP SQL query engines (e.g., Presto, Trino, or similar).
• Strong understanding of modern data lakehouse concepts, open table formats (Apache Iceberg), and data warehousing.
• Experience with data connectivity drivers: JDBC, ODBC, Arrow Flight.
• Performance testing with JMeter or comparable load-testing tools at production scale.
• Kubernetes on managed services (GKE / EKS / AKS) and multi-cloud exposure.
• IaC tools such as Terraform.
• Deep understanding of query plan generation, query acceleration / materializations, and metadata integrity in distributed data systems.
• Prior experience leading a QA/SDET function in a data-platform or database engineering environment.
  Please note: We can consider only candidates currently residing in the EU, EEA, or the UK.

Level: Middle Engagement: Long-term contract Location: Europe (EU / EEA / UK), remote Working hours: EU business hours, shifted 2–3 hours later to ensure daily overlap with US West Coast (PST/PDT) mornings

About the Client

Our client is a leading enterprise data platform company building an open, high-performance data lakehouse for AI and analytical workloads. The platform combines an intelligent SQL query engine, an AI-ready semantic layer, and an open catalog built on Apache Iceberg — enabling Fortune 500 companies across finance, energy, manufacturing, and logistics to unify, query, and govern data at massive scale across cloud and on-premise sources.

About the Role

We are looking for a Middle-level SDET to design and maintain automated tests for a large-scale distributed data platform. You will validate the correctness, performance, and reliability of the query engine, connectivity layer, and backend services across all major clouds.

This is a data-heavy, backend-focused role. We are not looking for web/UI QA engineers — the work centers on validating distributed query execution, data correctness at scale, connectivity drivers, and backend microservices.

Responsibilities

• Develop and maintain automated tests in Python / pytest for backend services, REST APIs, and distributed data components.
• Write end-to-end, integration, and regression tests covering SQL query execution, data correctness, and platform APIs.
• Support performance and load testing with JMeter, including workloads over JDBC / ODBC / Arrow Flight drivers.
• Validate data-intensive scenarios — query plans, result correctness across data sources, metadata consistency, and behavior under concurrency.
• Contribute to CI/CD test pipelines in Jenkins — configure, maintain, and troubleshoot.
• Provision and manage test environments in Kubernetes (GKE / EKS / AKS) across GCP, AWS, and Azure using Docker.
• Investigate failures across the stack — query engine, distributed services, drivers, infrastructure — and drive them to resolution with engineering.
• Collaborate with US-based developers on testability and quality gates.

Required Qualifications

• Education: B.S. or M.S. in Computer Science, Computer Engineering, or a related technical field.
• Programming: Strong proficiency in Python, including pytest, with a solid grasp of OOP and software design principles.
• SQL & Data: Strong SQL skills and solid understanding of how relational and analytical data systems work.
• Data-intensive testing experience: Hands-on experience testing data-intensive systems — query engines, ETL/ELT pipelines, streaming platforms, or analytical databases. Candidates with only web/UI QA backgrounds are not a fit.
• Testing experience: 3+ years in backend/system test automation or SDET roles.
• CI/CD & DevOps basics: Practical experience with Jenkins pipelines and deploying/maintaining test environments.
• Containers: Working knowledge of Docker and basic Kubernetes (running workloads, debugging pods, kubectl fluency).
• Cloud: Comfortable operating in at least one major cloud (GCP, AWS, or Azure).
• Version Control: Confident with Git / GitHub workflows.
• English: Upper-Intermediate or higher (B2+) — daily written and verbal communication with a US-based engineering team.
• Availability: Able to work EU hours with a 2–3 hour shift toward US West Coast time to ensure daily overlap with the client team.

Desired Skills

• Experience testing REST APIs and backend microservices at scale.
• Familiarity with distributed computing frameworks (e.g., Apache Spark, Kafka) and MPP SQL query engines (e.g., Presto, Trino, or similar).
• Understanding of modern data lakehouse concepts, open table formats (Apache Iceberg), and data warehousing.
• Experience with data connectivity drivers: JDBC, ODBC, Arrow Flight.
• Performance testing with JMeter or comparable load-testing tools.
• Kubernetes on managed services (GKE / EKS / AKS) and multi-cloud exposure.
• IaC tools such as Terraform.
• Understanding of query plan generation, query acceleration / materializations, and metadata integrity in distributed data systems.
  Please note: We can consider only candidates currently residing in the EU, EEA, or the UK