Jobs Data & Analytics

We are looking for a Computer Vision / C++ Engineer to join our team and work on real-world computer vision systems.

Responsibilities:
 

- Develop and maintain computer vision solutions in C++;

- Work with geometric computer vision (projective and epipolar geometry);

- Implement classical CV algorithms (demosaicing, tracking, optical flow, color calibration, image enhancement);

- Fine-tune existing deep learning models (e.g. YOLO) and train custom models using PyTorch;

- Deploy DL models in C++ using inference runtimes (ONNX Runtime, OpenCV DNN or similar);

- Implement model output decoding and post-processing;

- Develop camera-related software;

- Write efficient multi-threaded code.

Requirements:
 

- Strong C++ skills;

- Solid background in computer vision;

- Practical experience with deep learning for CV and PyTorch;

- Experience with deploying models to C++ applications and inference runtimes;

-Experience with multi-threaded programming and camera systems.

About the project

Our client is a global company with a platform managing over 700,000 hotel rooms across 124 countries, helping clients generate billions in revenue.

Why join

— Stable long-term cooperation: already 5 engineers are working on the project
— Technical freedom: ability to propose architecture decisions and improvements without heavy bureaucracy
— End-to-end ownership: work with the full data pipeline from raw data to production-ready solutions
— Direct business impact: your work helps increase hotel revenues
— Collaboration with major global hotel brands
— Fast and measurable results with clear business value

Requirements

Must have

— 5+ years of experience in Data Engineering
— 3+ years of commercial experience with AWS (including at least 1 year on the latest project)
— 2+ years of experience with Spark/PySpark (including at least 1 year on the latest project)
— Strong experience with:

• Spark / PySpark
• AWS S3
• Kafka or Kinesis
• DynamoDB
• PostgreSQL or MySQL
• AWS ECS Fargate

Nice to have

• AWS Glue
• EMR
• AWS Batch
• Flink
• Apache Beam
• Cassandra / ScyllaDB
• AWS Step Functions

Responsibilities

• Implement scaling of the case detection process (scanner)
• Split monolithic API into multiple services
• Emulate Pub/Sub and Cloud Run locally
• Extract and process data using PySpark + S3
• Work with Kafka/Kinesis pipelines (as a plus)
• Write and optimize SQL queries in PostgreSQL/Redshift
• Use DynamoDB as a data source and sink
• Run and debug ETL jobs on AWS Glue or EMR
• Monitor jobs via AWS Console and Spark UI

Role Overview:
We are looking for a Product Owner / Business Analyst to strengthen requirement clarity, improve delivery predictability, and bridge the gap between business needs and technical execution.
This role reflects an evolution from traditional Business Analysis toward a more product-oriented, delivery-focused function, where one person owns both requirement definition and backlog readiness.

Project Description:
An American healthcare-fintech client focused on dental benefits and payment solutions. The platform acts as a payment facilitator for member portals related to dental benefit plans, helping users manage payments, coverage information, and member-related financial operations in a secure and user-friendly environment.
 

Requirements:

• 5+ years of experience as a Business Analyst, Product Owner, or hybrid role
• Strong experience working in Agile/Scrum environments
• Experience working in a technical/product-driven environment
• Proven ability to translate complex business logic into clear, structured requirements
• Comfortable working in cross-functional teams (engineering, architecture, business)
• Strong understanding of software development lifecycle (SDLC)
• Excellent communication skills with both technical and non-technical stakeholders
• Experience with tools like Jira, Confluence, or similar
• Upper-Intermediate + level of English

Technical & Domain Experience (Preferred)

• Familiarity with AI-assisted workflows or automation tools in product or analysis work
• Experience working with complex systems, integrations, or data-driven platforms
• Understanding of APIs, system interactions, and data flows
• Technical background or previous development experience
• Experience in fintech, healthcare, or other regulated/complex domains is a plus

Key Responsibilities:

• Gather and analyze business requirements
• Translate needs into user stories, workflows, and acceptance criteria
• Own backlog quality, prioritization, and readiness
• Support sprint planning, grooming, and delivery execution
• Collaborate with engineering and architecture to ensure feasible solutions
• Decomposition of features and support team during delivery
• Reduce ambiguity and unblock teams during development
• Identification of gaps in requirements and proactive clarification
• Leverage AI-assisted tools and agentic workflows (e.g., BMAD AI approach or similar) to enhance requirement definition, documentation, and delivery efficiency

What we offer:

• Annual paid leave 18 working days
• Annual paid sick leave
• Opportunity to participate in various events (educational programs, seminars, training sessions)
• English courses
• Healthcare program
• IT Cluster membership
• Competitive compensation

Join a dynamic and fast-paced technology group as a Business Functional Analyst. This full-time remote role supports a mission-driven initiative, works closely with stakeholders and clients, and ensures process and data integrity across business systems.

As an employee of our company, you will collaborate with each department to create and deploy disruptive products. Come work at a growing company that offers great benefits with opportunities to move forward and learn alongside accomplished leaders. We’re seeking an experienced and outstanding member of our team.

Responsibilities

- Lead client-facing discovery: run workshops, interviews, and working sessions to identify pain points, goals, constraints, and success criteria
- Document detailed business requirements, functional specs, user stories, acceptance criteria, and use cases
- Translate business requirements into functional specifications for CRM/ERP configuration, integrations, and development (working with Product/Engineering)
- Own requirements lifecycle: scope control, prioritization, change requests, and stakeholder alignment
- Support Agile delivery: backlog grooming, sprint planning, UAT coordination, release notes, and go-live readiness
- Act as a bridge between client stakeholders and internal teams, ensuring clear communication, timely updates, and expectation management

Must Have
- 2+ years of experience as a Business Functional Analyst / Business Analyst (client-facing experience required)
- Strong understanding of the Software Development Lifecycle (SDLC) and business-to-technical translation
- Experience with CRM and/or ERP platforms (any modern stack)
- Hands-on experience with delivery tools such as Jira / Asana / ClickUp
- Experience working in an Agile environment (Scrum/Kanban)
English B2+

About Tie

Tie is building the next generation of identity resolution and marketing intelligence. Our platform connects hundreds of millions of consumers across devices, browsers, and channels—without relying on cookies—to power higher deliverability, smarter targeting, and measurable revenue lift for modern marketing teams.

At Tie, AI is not a feature—it is a core execution advantage. We operate large-scale identity graphs, real-time scoring systems, and production ML pipelines that directly impact revenue, deliverability, and customer growth.

The Role

We are looking for a Senior AI / Machine Learning Engineer to design, build, and deploy production ML systems that sit at the heart of our identity graph and scoring platform. You will work at the intersection of machine learning, graph data, and real-time systems, owning models end to end—from feature engineering and training through deployment, monitoring, and iteration.

This role is highly hands-on and impact-driven. You will help define Tie’s ML architecture, ship models that operate at sub-second latency, and partner closely with platform engineering to ensure our AI systems scale reliably.

What You’ll Do

• Design and deploy production-grade ML models for identity resolution, propensity scoring, deliverability, and personalization
• Build and maintain feature pipelines across batch and real-time systems (BigQuery, streaming events, graph-derived features)
• Develop and optimize classification models (e.g., XGBoost, logistic regression) with strong handling of class imbalance and noisy labels
• Integrate ML models directly with graph databases to support real-time inference and identity scoring
• Own model lifecycle concerns: evaluation, monitoring, drift detection, retraining, and performance reporting
• Partner with engineering to expose models via low-latency APIs and scalable services
• Contribute to GPU-accelerated and large-scale data processing efforts as we push graph computation from hours to minutes
• Help shape ML best practices, tooling, and standards across the team

What You’ll Bring

Required Qualifications

• 5+ years of experience building and deploying machine learning systems in production
• Strong proficiency in Python for ML, data processing, and model serving
• Hands-on experience with feature engineering, model training, and evaluation for real-world datasets
• Ability to travel outside of Ukraine is a must
• Experience deploying ML models via APIs or services (e.g., FastAPI, containers, Kubernetes)
• Solid understanding of data modeling, SQL, and analytical workflows
• Experience working in a cloud environment (GCP, AWS, or equivalent)
• Experience with graph data, graph databases, or graph-based ML

• Familiarity with Neo4j, Cypher, or graph algorithms (community detection, entity resolution)

  Preferred / Bonus Experience

• Experience with XGBoost, tree-based models, or similar classical ML approaches
• Exposure to real-time or streaming systems (Kafka, Pub/Sub, event-driven architectures)
• Experience with MLOps tooling and practices (CI/CD for ML, monitoring, retraining pipelines)
• GPU or large-scale data processing experience (e.g., RAPIDS, CUDA, Spark, or similar)
• Domain experience in identity resolution, marketing technology, or email deliverability

Our Technology Stack

• ML & Data: Python, Pandas, Scikit-learn, XGBoost
• Graphs: Neo4j (Enterprise, GDS)
• Cloud: Google Cloud Platform (BigQuery, Vertex AI, Cloud Run, Pub/Sub)
• Infrastructure: Docker, Kubernetes, GitHub Actions
• APIs: FastAPI, REST-based inference services

What We Offer

• Competitive compensation, including salary, equity, and performance incentives
• Opportunity to work on core AI systems that directly impact revenue and product differentiation
• High ownership and autonomy in a senior, hands-on role
• Remote-first culture with a strong engineering and data focus
• Exposure to cutting-edge problems in identity resolution, graph ML, and real-time AI systems

• Clear growth path toward Staff / Principal IC roles

  What else:

• 4 weeks of paid vacation per year (flexible scheduling)
• Unlimited sick leave — we trust your judgment and care about your health
• US Bank Holidays off (American calendar)
• Remote-first culture and flexible working hours
• Flat structure, no micromanagement, and full ownership

• Opportunity to make a real impact during a critical growth phase

  Interview Process

• Recruitment Screening Call
• Test task in Hackerrank for 1h
• Technical deep dive Interview (1,5h)  in English

• Final interview with CTO in English

  Why Join Us?

• High-impact delivery leadership role during a critical period
• Real ownership and autonomy
• Opportunity to shape delivery across the entire engineering organization
• Exposure to SaaS, data, integrations, automation, and platform work
• Collaboration with global teams and vendors
• A strong product with real scale and momentum

Why This Role Matters

At Tie, your work will not live in notebooks or experiments—it will power production systems used by real customers at scale. You will help define how AI is embedded into the company’s core platform and play a key role in making machine learning a durable competitive advantage.

DevOps Engineer Requirements

Core Skills:

✅ 3+ years of experience in DevOps or SRE roles

✅ Strong command of Linux server administration and shell scripting

✅ Proven experience with Docker containerization and optimization

✅ CI/CD pipeline implementation experience (GitHub Actions, Jenkins, or similar)

✅ Infrastructure as Code experience (Terraform, Ansible, or similar)

Technology-Specific Requirements

1. Node.js/React:

✅ Experience deploying and maintaining Node.js applications

✅ Familiarity with React build processes and optimization

JavaScript/TypeScript ecosystem knowledge

2. Docker:

✅ Container orchestration (Docker Compose, Docker Swarm, Kubernetes, or similar)

✅ Multi-stage builds and image optimization

✅ Container security best practices

MongoDB:

✅ Cloud MongoDB management (Atlas or similar)

✅ Database backup/restore procedures

✅ Performance monitoring and optimization

Cloudflare:

✅ CDN configuration and optimization

✅ DNS management

✅ WAF and security rules implementation

OS Administration:

✅ Linux server management (Ubuntu/Debian preferred)

✅ Basic Windows server administration

✅ Cross-platform automation skills

✅ Additional Qualifications

✅ Experience with cloud providers (AWS, Azure, GCP)

✅ Monitoring and observability implementation (Zabbix, Grafana, Portainer, or similar)

✅ Security best practices and vulnerability management

✅ Incident response and troubleshooting skills

✅ Automated testing integration in deployment pipelines

Шукаємо Data Analyst в команду Business Intelligence для реалізації стратегічних проектів: міграції звітності на платформу Power BI та розвитку аналітичної культури в компанії. Робота над розробкою дашбордів, аналітичною підтримкою бізнес-підрозділів та впровадженням Data Driven підходу в компанії.

Що для нас важливо:

• Досвід: 2–3 роки роботи Data Analyst;
• Power BI: розробка дашбордів та звітів, знання DAX, Power Query M, базові навички моделювання даних;
• Excel: впевнене володіння Power Query, Power Pivot, створення аналітичних моделей;
• Просунуте знання SQL: складні запити з віконними функціями, CTE, оптимізація запитів, досвід роботи з PostgreSQL або MS SQL;
• Аналітичні навички: досвід обробки ad-hoc запитів, підготовки звітів та презентацій для менеджменту.

• Розробка інтерактивних дашбордів та звітів у Power BI для різних підрозділів (маркетинг, продажі, логістика, продукт);
• Проведення продуктового аналізу для пошуку точок зростання та оптимізації бізнес-рішень;
• Написання SQL-запитів для витягу даних з корпоративних баз даних (ClickHouse, PostgreSQL, MS SQL);
• Обробка ad-hoc запитів від бізнес-підрозділів, підготовка аналітичних звітів;
• Розробка аналітичних моделей у Excel для поглибленого аналізу даних;
• Консультування стейкхолдерів щодо інтерпретації даних та прийняття рішень на основі аналітики.

• Знання Python для аналітики (pandas, numpy);
• Досвід роботи з віконними функціями SQL, CTE, оптимізацією запитів;
• Практичний досвід у продуктовій аналітиці в технологічних або e-commerce компаніях.

• Вплив на український продукт, яким користуються мільйони;
• Можливість працювати з крутою командою однодумців та відкритим керівництвом;
• Регулярно отримуватимеш новини компанії у вигляді дайджестів та зустрічей Town Halls;
• Офіційне працевлаштування, оплата лікарняних та відпусток;
• Своєчасний та відкритий зворотній зв’язок;
• Кар’єрні рекомендації від HR BP та план розвитку.

We are a US-registered outstaffing partner. We embed senior engineers into product teams across fintech and payments. Sourcing now for a near-term client engagement in the cross-border crypto-fiat space.

This role is engineering-hands-on. You will own the KYC/KYB onboarding flow architecture for high-AOV merchants in a production environment. Not project management, not consulting.

Required (must have shipped in production):
- KYC or KYB onboarding flows in fintech, payments, or crypto
- At least 2 verification provider integrations from: Onfido, Sumsub, Persona, Alloy, Middesk, Veriff, Jumio
- Backend in Node.js (NestJS, Express) or Python (FastAPI, Django)
- Manual review queues or automated decisioning logic
- Scale context (transactions per day, merchants onboarded, time-to-activate metrics)

Nice to have:
- Cross-border payments or crypto-fiat (TransFi, BitPay, CoinsPaid, OpenPayd, Reap landscape)
- AML / transaction monitoring
- Multi-jurisdictional compliance (GCC, LATAM, SEA, EU)
- VARA, CBUAE, FATF Travel Rule familiarity

Terms:
- Remote, EU or Eastern Europe timezone (must overlap UAE/GCC business hours)
- Start: as soon as we mutually confirm fit
- Embedded model: you work alongside the client's team with full ownership of your scope

To apply, reply with these specifics (generic CVs will not move forward):
1. CV
2. One concrete KYC or KYB onboarding flow you personally coded — architecture, providers integrated, scale, your role in it
3. Programming languages and frameworks you use day-to-day
4. Current availability (hours per week) and earliest start date
5. GitHub or public portfolio if available

Looking for engineering depth, not implementation oversight.

About the Role

At Dreamlines, we help travelers find and book their dream cruise — working with the world's leading cruise lines across Germany, the UK, Australia, and the Netherlands.

Our team (10+ engineers) already has a solid foundation: warehouse, ingestion layer, and ETL pipelines are in good shape. Now we're building the next layer — the one customers and business teams actually interact with. Data products, APIs, predictive analytics, and AI-powered features that move the business from "here's what happened" to "here's what you should do next."

This role is for someone who builds that layer. Not pipelines for their own sake — but data products that get used, make decisions, and ship.

What You'll Actually Be Doing

Building data products end-to-end. Predictive support-load dashboards, automated package optimization based on competitor data, ship-level complaint signals that feed sales decisions — you'll take these from concept to production.

Designing and maintaining the serving layer. APIs, feature delivery, real-time data products built on top of our Redshift warehouse — you own this layer and collaborate with data engineers who own what's beneath it.

Owning reliability after deployment. You monitor, troubleshoot, and optimize what you ship — freshness, performance, and uptime are part of the job, not someone else's problem.

Integrating LLMs into real workflows. We use Claude (Anthropic) and expect pragmatic judgment on when to use prompt engineering, when RAG is the right call, and when fine-tuning actually makes sense. No experimentation for its own sake.

Testing and validating before you ship. New data products and AI features go through proper validation — with attention to baseline metrics and downstream impact — before they touch production.

Moving us toward predictive and prescriptive analytics. We want to go beyond look-back reporting. You'll help define what that looks like architecturally and then build it.

Contributing to our real-time roadmap. We're early in our streaming journey — you'll have genuine input on direction, not just implementation.

Being a technical reference point on the team. You'll be the go-to voice on data product architecture and LLM integration — shaping how the team thinks about these topics, not just executing tasks.

What You Won't Be Doing

• Managing a team or handling people leadership
• Pure ETL/pipeline work — we have engineers for that
• Academic ML research or model experimentation without a production target
•  

You Must Have

• 5+ years building data-intensive applications end-to-end — not only pipelines
• Strong Python; comfortable in JavaScript/TypeScript when the serving layer needs it
• Strong SQL and hands-on experience with a cloud data warehouse (Redshift preferred)
• Experience designing and shipping REST APIs that serve production systems
• Practical LLM integration experience in production — with real judgment on the tradeoffs
• At least one customer-facing or business-critical data product shipped end-to-end
• Hands-on experience with dbt — able to read, extend, and propose changes to models
• Full professional proficiency in English

Strongly Preferred

• Exposure to Airbyte, Airflow, and BI tools such as Tableau
• Frontend competence sufficient to ship a usable internal dashboard independently
• Ability to document architecture and data product behavior clearly — for both technical and business audiences
• Strong architectural judgment and ability to translate business needs into shipped products
• Willingness to push back constructively when the data doesn't support a requirement

Nice to Have

• Experience with streaming / real-time systems (Kafka, Debezium, Materialize, RisingWave, or similar)
• Background in e-commerce, travel, or marketplace businesses
• Experience building agentic LLM workflows in production
• Familiarity with GDPR and EU data residency constraints

What You Get

• A high-impact role on a platform used by thousands of customers
• No time tracking
• A supportive and experienced engineering team
• Internal learning and development program
• 20 vacation days
• Medical care & wellbeing
• Accounting support
• Office gym with a personal trainer
• Family-friendly space

Ready to help us redefine how people find and book cruises? We’d love to meet you!

On behalf of our client, we are looking for a Senior Data Engineer.

About the Project

A global platform managing over 700,000 hotel rooms across 124 countries, helping clients generate billions in revenue.

Responsibilities:

- Implement scaling of the case detection process (scanner)

- Split API into multiple API services

- Emulate pubsub/cloud run locally

- Extract and process data using PySpark + S3

- Work with Kafka/Kinesis data streams

- Write and optimize SQL queries on PostgreSQL/Redshift

- Use DynamoDB as a data source/sink

- Run and debug ETL jobs on Glue or EMR

- Monitor jobs via AWS console and Spark UI

Requirements:

- 5+ years of experience in Data Engineering

- 3+ years of experience with AWS (1+ year in the latest project)

- 2+ years of experience with Spark / PySpark (1+ year in the latest project)

- Strong experience with AWS S3

- Experience with Kafka or Kinesis

- Experience with DynamoDB

- Experience with PostgreSQL or MySQL

- Experience with AWS ECS Fargate

Nice to Have:

- AWS Glue

- EMR

- AWS Batch

- Flink

- Beam

- Cassandra / ScyllaDB

- AWS Step Functions

Company offers:

- Long-term employment with possibilities for professional growth

- Fully remote work

- Reasonably flexible schedule

- 15 days of paid vacation

- Regular performance reviews

We're looking for an AI Automation Engineer who builds workflow automations using n8n, Make/Zapier, and OpenAI. You'll work directly with clients to understand their processes, design automation flows, and ship working solutions fast.

This is a hands-on, execution-focused role. No endless meetings — you build, deploy, iterate.

What you'll do

• Design and build automation workflows in n8n and Make/Zapier
• Integrate OpenAI (GPT-4, Assistants API, function calling) into business workflows
• Connect third-party services via REST APIs (webhooks, OAuth, JSON parsing)
• Map client business processes and translate them into working automations
• Maintain and improve existing automation pipelines
• Communicate directly with clients (async-first, English)

What we're looking for

Must have:

• Hands-on experience with n8n or Make (Zapier is a plus)
• Understanding of REST APIs — you can read docs, set up webhooks, handle auth
• Experience integrating OpenAI API (prompt engineering, API calls, handling responses)
• Ability to decompose a business process into automation logic
• English sufficient for async client communication

Nice to have:

• Basic Python or JavaScript for custom nodes/scripts
• Experience with CRMs, Google Workspace, Notion, Slack, Airtable
• Understanding of LangChain or AI agent patterns

What we offer

• Remote, async-friendly work
• Real projects, real clients — not internal tooling
• Fast feedback loop: you ship, you see results
• Competitive rate (fixed or hourly — discussed individually)
• Opportunity to grow into LLM/chatbot and AI product projects

About SPG
SPG is an innovation and technology company developing enterprise-grade AI platforms, autonomous systems, robotics integrations, and operational intelligence solutions for critical infrastructure, industrial operations, and government sectors across Saudi Arabia. 

We focus on building deployable, real-world AI solutions for large-scale enterprise environments.

Role Overview

We are looking for an AI Engineer who can contribute beyond traditional computer vision tasks and help build intelligent autonomous systems and AI-powered operational platforms.

This role involves:

• developing AI capabilities
• integrating intelligence into software platforms
• supporting autonomous workflows
• improving operational decision-making systems
• working with robotics, drones, surveillance systems, and enterprise AI infrastructure

You will work closely with software, hardware, robotics, and operations teams to help shape next-generation AI-driven systems.

Responsibilities

• Design and implement AI capabilities across multiple software platforms
• Develop and optimize computer vision pipelines:
  • object detection
  • tracking
  • PPE detection
  • anomaly detection
  • event classification
• Support autonomous operational workflows and decision-making systems
• Integrate AI models into real-world enterprise and industrial environments
• Work with:
  • drones
  • PTZ systems
  • robotics platforms
  • edge AI devices
  • monitoring systems
• Build AI-assisted automation features for operational platforms
• Improve system intelligence, alerting, and autonomous response logic
• Collaborate with frontend, backend, DevOps, robotics, and hardware teams
• Optimize AI inference and deployment performance
• Participate in architecture and AI infrastructure decisions

• Contribute to future autonomous and intelligent platform development

   

Required Qualifications

• Strong Python experience
• Experience with:
  • PyTorch
  • TensorFlow
  • OpenCV
  • YOLO / detection models
• Understanding of AI system architecture and deployment
• Experience in computer vision and video analytics
• Familiarity with APIs and backend integrations
• Linux environment experience
• Strong analytical and problem-solving skills
• Ability to work in fast-paced, innovation-driven environments

What We Offer

• Work on cutting-edge autonomous and AI technologies
• Real enterprise and government-scale projects
• Exposure to robotics, drones, and advanced AI systems
• Opportunity to shape next-generation operational intelligence platforms
• Fast-growing innovation-focused environment

We’re looking for a Senior Machine Learning Engineer to design and scale production ML systems that power real-time personalization and decision-making at scale.

In this role, you’ll own the full ML lifecycle—from transforming raw behavioral data into meaningful features, to deploying low-latency prediction APIs, to building the observability needed to keep models reliable in production.

This is a great opportunity for someone with strong applied ML and MLOps expertise who enjoys solving complex engineering challenges and building scalable, high-impact systems.

Your responsibilities will include:

• Build and productionize ML models for ranking, personalization, and customer engagement.
• Develop pipelines that transform behavioral, demographic, and contextual signals into online and offline features.
• Design and deploy low-latency APIs and decision services for real-time decision-making.
• Implement experimentation frameworks, including A/B testing and exploration-exploitation strategies.
• Operationalize the ML lifecycle: automated training, CI/CD for models, artifact and feature versioning, and online/offline parity.
• Build observability into ML systems by monitoring data quality, model drift, and decision outcomes, and triggering retraining when needed.
• Establish closed feedback loops that connect decisions to business outcomes (e.g. conversions, engagement, fatigue signals such as unsubscribes).
• Collaborate closely with product and engineering teams to balance personalization, compliance, and business value in real-world systems.

What we expect from you:

• 5+ years of experience in applied ML engineering (recommendation systems, personalization, ranking, or advertising systems).
• Strong proficiency in Python or Go, SQL, and modern ML frameworks such as TensorFlow, PyTorch, or similar.
• Strong understanding of MLOps best practices, including CI/CD for ML, containerization (Docker), orchestration (Kubernetes, Airflow, Kubeflow), model registries, and monitoring frameworks.
• Familiarity with cloud ML platforms such as Vertex AI, SageMaker, or similar, and data warehouses like BigQuery, Snowflake, or Redshift.
• Experience deploying real-time ML systems, including low-latency serving, feature stores, and event-driven architectures.
• Understanding of multi-objective optimization and trade-offs in personalization systems.
• Comfort working cross-functionally in a dynamic startup environment with the overlap within USA time zone.
• Strong spoken and written English communication skills.

Nice to have:

• Experience in martech, adtech, CRM, or large-scale personalization platforms.
• Exposure to bandit algorithms, reinforcement learning, or causal inference for adaptive decision-making.
• Experience building systems serving millions of users at scale.
• Hands-on experience with Google Cloud Platform (GCP).
• Familiarity with observability tools such as Prometheus, Grafana, Evidently, WhyLabs, or Great Expectations for monitoring data and model health.

What we offer:

• Interesting projects and technical challenges that support both professional and personal growth.
• A long-term project with stability and impact.
• A flexible, results-oriented schedule with hybrid or remote work options.
• A comfortable, modern office in Kyiv with generator and battery backup.
• Competitive salary, medical insurance, and a supportive onboarding/trial period.
• Team-building events, including parties, online activities, picnics, and more.
• The opportunity to work in a Top Employer company (DOU 2025).

WHAT WE DO AT TOOLSENSE

ToolSense was founded in June 2017 by Alexander Manafi, Benjamin Petterle, and Rostyslav Yavorskyi with the vision to support maintenance, repair, and operation teams by digitizing asset processes, enabling automation & empowering smarter decisions.

Through unifying assets, people & processes in ToolSense, the lives of frontline workers become easier & asset-intensive industries become more efficient.

ToolSense has already won numerous international customers from the facility services & construction industry and renowned industry awards, such as the “Interclean Innovation Award” or the “Construction Equipment Forum Startup Award”. Furthermore, ToolSense recently raised an €8m Series A investment round led by PwC IIoT to double down on its strategy of digitising asset-intensive industries.

YOUR PROFILE

- 3+ years of experience in working as Business Analyst in software development for one of the big 10 outsourcing companies in Ukraine, preferably with exposure to international projects

- Bachelor or masters degree in Business Administration, Computer Science, Information Systems, or a related field.

- Familiarity with the IT and software development sector, particularly in the context of product development and implementation.

- Expertise in eliciting, analyzing, specifying, and validating business, user, and system requirements.

- Being hands on Experienced in working with stakeholders at all levels of the organization to gather requirements and deliver solutions that meet business needs.

- Ability to negotiate and build consensus among stakeholders.

- Familiarity with software development life cycles (SDLC) and the ability to work closely with development teams.

- Ability to adapt to changing business needs and technology landscapes.

- Keen interest in continuous learning and professional development in the field of business analysis and requirements engineering.

- Excellent English and great communication skills

WE OFFER

- Lots of freedom to implement your ideas

- A dynamic and innovative working environment with flat hierarchies

- Participation: Contribute your know-how and change the future of the manufacturing industry with us

- Very transparent, honest, and customer-centric culture

- A highly motivated, experienced, and cooperative team that will always support you

- Always keep moving forward: we offer you lots of internal and external training to improve

Digis is looking for a Senior Data Engineer to join our long-term partnership with a US-based global leader in hospitality analytics.

About the Project
Our client is a premier SaaS provider that transforms front-desk staff into revenue generators for the world’s most iconic hotel brands, including Hilton and Marriott. Their platform operates in over 2,000 properties across 124 countries, managing billions in revenue.

The project is in an active development stage, focusing on processing massive data volumes to deliver real-time business value.
You will join a large, distributed team (approx. 50 people) and collaborate directly with the US-based CTO.

Your Responsibilities:

• Manage data pipelines from ingestion to ready-to-use analytical models.
• Help scale case detection processes and improve existing services by splitting them into smaller microservices.
• Build, debug, and optimize ETL jobs using AWS Glue, EMR, and Spark.
• Write and improve SQL queries for PostgreSQL/Redshift, and work with DynamoDB where needed.

• Support workflows in AWS ECS Fargate and set up local environments for testing and deployment.

   

Requirements:

• 5+ years of experience as a Data Engineer.
• 2+ years of hands-on production experience with Spark or PySpark.
• 3+ years of experience with the AWS ecosystem (specifically Glue, EMR, S3, and Redshift).

• English: High level (Upper-Intermediate/Advanced) for frequent technical meetings and direct collaboration with the US CTO.

   

We Offer

• 20 paid vacation days per year
• 5 paid sick leaves per year (no medical documents required)
• Personalized development plan with training compensation
• English courses compensation
• Work equipment if needed (PC / laptop / monitor)
• Flat and transparent internal communication
• Opportunity to switch between projects and technologies within Digis
• Full accounting and legal support