Jobs Data & Analytics

Kiss My Apps is a company-platform that unites 7 product verticals and 30+ AI-first products, 100+ million users, and a proprietary ecosystem of analytical, payment, and marketing solutions. KMA products are global leaders in utilities, lifestyle, and health & fitness niches — AI Remodel, Printer, Botan, Calorie Counter, and more. These products hold Top-1 positions in the App Store and solve the needs of a community of hundreds of millions of people. Our pace is our competitive advantage. KMA grows at least 3x year-over-year — and we are looking for a Product Analyst, someone who will help us scale even faster.

About the role: You will join the Botan team — an iOS product with fast growth ambitions. Here, analytics is not just “reporting,” but a core driver of product evolution. You will turn numbers into clear decisions that directly impact growth, working closely with marketing, product, and engineering.

What you’ll do:

• Design, launch, and analyze A/B tests.
• Build and maintain product dashboards (the foundation is ready, but it requires optimization and process improvement).
• Analyze key product and marketing metrics (CR, ROI, LTV, Retention).
• Develop and improve the product analytics infrastructure.
• Explore user behavior and generate growth hypotheses.
• Support decisions aimed at improving engagement, retention, and monetization.
• Collaborate with marketing on traffic quality and unit economics.

What we’re looking for:

• 1+ year of experience in a Product Analyst or Data Analyst role.
• Strong SQL skills.
• Experience with Amplitude (or similar product analytics tools).
• Solid understanding of A/B testing methodology and statistical methods.
• Experience with mobile app analytics (iOS/Android).
• Ability to turn data into clear, actionable insights.
• Proactive mindset, autonomy, and adaptability in fast-changing environments.

Nice to have:

• Experience with web analytics.
• Understanding of marketing data and traffic acquisition specifics.

This role is for you if you’re looking for:

• Real ownership over analytics in a growing iOS product.
• A fast feedback loop: your insights -> experiments -> real results in numbers.
• The opportunity to quickly grow into a Senior / Lead Analytics role.
• AI-first product with a modern and up-to-date technology stack.
• Minimal routine work thanks to a dedicated data team that prepares and maintains data pipelines.

What we offer:

• Work format of your choice: fully remote from anywhere in the free world, with optional access to one of our offices (Kyiv, Warsaw).
• Focus on performance: competitive compensation aligned with your skills and experience. We provide all necessary equipment regardless of your location.
• Career growth through ownership: 80%+ of all leads at Kiss My Apps were switchers 2-3 years ago. Your impact isn't defined by years on a resume — it’s defined by how fast you learn and take responsibility.
• Team activities: To support mental health, we offer online yoga sessions twice a week.
• Development: Internal English speaking clubs with native speakers, opportunities to speak at internal and external events, and an annual budget covering up to 50% of learning activities and conferences.
• Flexible benefits: A fixed annual budget where you choose what to cover: 50% of health insurance, therapy, sports, or dental care. Plus, 40 days of paid time off and sick leave.
• Support during wartime: Stable working conditions, support for the Defense Forces, and participation in initiatives for Ukraine’s recovery.
• Important: Deferment (booking) options are available for those eligible for military service after the probation period.

Hiring process:

1. Intro call with a recruiter.
2. Test task.
3. Interview with the Hiring Manager.
4. Final interview.

If you want to be a driver of Botan’s product evolution rather than just running reports — let’s launch the future together:)

WHO WE ARE

We are Edge Solutions Lab, a team of engineers with a strong background in product development of edge solutions and data platforms. Our legacy is grounded in the successful execution of the Hivecell product. We're committed to helping companies implement their product strategies and turn data into real, measurable value.

WHO WE ARE LOOKING FOR

We are seeking an experienced Data Scientist to join an exciting project for our client, Flow — a forward-thinking company transforming the way people live, work, and connect. You will work on real-world data challenges at the intersection of edge computing and data platforms, turning complex, large-scale data into models and insights that directly shape Flow's digital ecosystem and drive measurable product value.

KEY RESPONSIBILITIES

• Design, develop, and deploy machine learning models and statistical solutions that address real business problems
• Collaborate with product, engineering, and domain teams to translate requirements into data-driven solutions
• Conduct exploratory data analysis and feature engineering on large, complex datasets
• Build and maintain scalable data pipelines to support model training, evaluation, and inference
• Define and track model performance metrics; monitor models in production and drive continuous improvement
• Communicate findings, methodologies, and results clearly to both technical and non-technical stakeholders

• Contribute to the team's data science best practices, tooling, and documentation

   

WHAT YOU BRING ALONG

• 4+ years of professional experience as a Data Scientist or in a similar role
• Strong proficiency in Python and core data science libraries (pandas, NumPy, scikit-learn, etc.)
• Solid understanding of machine learning algorithms, statistical modeling, and model evaluation techniques
• Experience with deep learning frameworks (TensorFlow or PyTorch) is expected at this level
• Hands-on experience deploying models to production environments (REST APIs, containerization, cloud platforms)
• Proficiency with SQL and working with relational or distributed data stores
• Familiarity with MLOps practices: experiment tracking, model versioning, monitoring (e.g., MLflow, Weights & Biases)
• Experience working with cloud platforms such as AWS, GCP, or Azure
• Practical experience leveraging AI-powered tools (e.g., GitHub Copilot, ChatGPT, or similar) to enhance productivity and accelerate development workflows
• Working knowledge of: graph databases (Memgraph, Neo4j, or similar); edge inference runtimes (ONNX Runtime, llama.cpp, ExecuTorch); gradient boosting frameworks (XGBoost, LightGBM, CatBoost); time-series analysis on IoT or sensor data streams; Snowflake and dbt-based analytics pipelines
• English proficiency at B2 level or higher — able to communicate effectively in a professional setting, both written and spoken

WILL BE A PLUS

• Experience with edge computing or IoT data streams
• Knowledge of time-series analysis and anomaly detection
• Familiarity with data orchestration tools (Airflow, Prefect, or similar)
• Contributions to open-source projects or published research
• Experience in a product-focused or startup environment

SOFT SKILLS

• Strong analytical thinking with a pragmatic, solution-oriented mindset
• Ability to work independently and take ownership of tasks end-to-end
• Clear and concise communication — able to explain complex concepts to non-technical audiences
• Collaborative attitude and comfort working in cross-functional teams
• Intellectual curiosity and a continuous drive to learn and improve
• Comfort with ambiguity and the ability to prioritize effectively in a fast-paced environment

Workload: full-time
Start: asap
Location: any
English: B2-C1
Budget: depending on experience, but affordable rates are more preferable to the client.

Job description
We are looking for an experienced Senior Data Engineer / Platform Engineer to help build and maintain reliable, scalable data infrastructure, pipelines, and tooling across analytics and product data stack. This is a full-time, 2-month engagement with strong potential for long-term extension (full-time or part-time)
You will play a key role in designing and improving the company's data ecosystem, ensuring that business and product teams have access to accurate, trustworthy, and actionable data.

About the Client
AI-driven product company focused on building intelligent agents that automate and enhance customer interactions across multiple channels.

What You'll Do

• Design, build, and maintain scalable ETL/ELT workflows.
• Improve data quality, reliability, and observability practices.
• Manage and enhance integrations between various systems and platforms.
• Collaborate closely with engineering, product, and implementation teams.
• Ensure data accessibility and consistency for analytics and operational use cases.

Requirements

• Minimum 5 years of experience in Data Engineering or Platform Engineering.
• Strong experience building and maintaining production-grade data systems.
• Hands-on experience with cloud data platforms, preferably Google Cloud Platform (GCP).
• Advanced SQL skills.
• Experience designing and supporting ETL/ELT pipelines.
• Experience with data orchestration and workflow management tools.
• Strong knowledge of MS SQL Server.
• Experience working with ClickHouse.
• Hands-on experience with Fivetran.
• Excellent verbal and written English communication skills.
• Ability to operate independently and thrive in a fast-paced environment.

Recruitment Process

• Pre-screen with the Recruitment Manager.
• Interview with Product Owner – discussion around experience, technical background, and project fit.
• "Vibe Coding" Session with Product Owner!!!

We seek a Strong Middle ML / AI Engineer to join our team on a humanitarian transparency platform. This is a hands-on engineering role focused on building machine learning models and data pipelines — primarily around deduplication, anomaly detection, and statistical analysis of humanitarian data.

 

🧙‍♂️ In This Role You Will

• Design, build, and maintain ML models for deduplication, anomaly detection, and predictive analytics.
• Work with structured humanitarian data — beneficiary records, financial transactions, procurement flows.
• Build and maintain data processing pipelines using Python (Pandas, NumPy, scikit-learn).
• Collaborate with the backend team to expose ML/AI outputs via APIs.
• Monitor model performance and iterate based on real-world feedback.
• Document your work and support knowledge sharing within the team.
  
  
   

🎯 You May Be Interested If

• You enjoy working with messy, real-world data and turning it into reliable ML outputs.
• You care about model quality, reproducibility, and practical impact.
• You're comfortable applying classical ML approaches to solve concrete business problems.
• You're excited to collaborate in a remote, cross-functional environment.
• You value autonomy, clear communication, and working in a supportive, small-team setting.
  
   

👌 Role Requirements

• 3+ years of experience in ML engineering, data science, or a closely related role.
• Strong Python skills: Pandas, NumPy, scikit-learn.
• Experience building and deploying ML models in production environments.
• Solid understanding of data pipeline design and data quality practices.
• Familiarity with cloud platforms (Azure or AWS) for ML workloads.
• Proficiency with Git and standard development tooling.
• English proficiency at B1 level or higher.
   

Nice to have:

• Experience with PyTorch or TensorFlow.
• Hands-on experience with LLM integrations (OpenAI, Anthropic, or similar).
• Familiarity with ML experiment tracking tools (e.g. MLflow, Weights & Biases).
• Experience with GIS or geospatial data.
• Background in fraud detection, entity resolution, or deduplication tasks.
• Familiarity with Docker and CI/CD workflows for ML pipelines.
  
   

💻 Working Conditions

• Employment Type: Full-Time
• This is a fully remote position with the entire team across Ukraine.
• 20 working days of paid vacation per year.
• The team collaboratively defines deadlines, ensuring a balanced and manageable workload. The focus is on delivering commitments on time.
• Flexible working hours to promote a healthy work-life balance.

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

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

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

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

Обов’язки:

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

Вимоги:

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

Буде плюсом:

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

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

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

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

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

Responsibilities:

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

Requirements:

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

Will be a plus:

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

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

A Ukrainian-British software company is seeking an ML/Computer Vision Engineer to join their team.

About the product: A spatial data analysis platform tailored for the UK and US markets. The company is successfully adapting MilTech innovations (SLAM/LiDAR) for commercial use.

The challenge: As the project scales from a prototype to enterprise-grade deployment, they need an expert to build the platform's "intelligent core." You will be responsible for creating systems that handle automated 3D change detection and track object conditions over time.

Why apply? This is your chance to translate your expertise in computer vision and 3D reconstruction into a high-impact product with a solid business model in Western markets.
 

Key Requirements:

• Strong background in Computer Vision, 3D Reconstruction, and Object Detection, including hands-on experience in training neural networks from scratch and selecting/curating training datasets.
• Fluency in English (both written and spoken).

Responsibilities:

• Design and build a temporal comparison pipeline: point cloud alignment (ICP, feature-based registration), change detection across aligned spatial models, surface-level condition change classification.

• Build and train a condition scoring model: defect type classification, severity grading.

• Develop a synthetic data generation pipeline from real-world data assets.

• Implement and adapt feature matching architectures (SuperGlue, LightGlue, LoFTR).

• Own model validation against the ground truth dataset: false positive rate, false negative rate.

• Research and evaluate 3D Gaussian Splatting and NeRF-based representations as potential improvements to the point cloud comparison pipeline.

Benefits & Perks:

• Hands-on experience with 3D Gaussian Splatting, NeRF, Master SL (open-source SLAM library), and ARKit.

• 20 working days of paid vacation + 5 paid sick days annually.

• Health insurance matching/compensation and company-provided tech equipment.

• Full-time, 100% remote.

ORIL is seeking a highly skilled Senior AI/ML Engineer to architect and scale our mission-critical, AI-driven data platform. At the core of our engineering culture is a steadfast commitment to performance, reliability, and uncompromising data integrity. The ideal candidate is an autonomous problem-solver who thrives in an agile environment, takes end-to-end ownership of complex systems, and pairs a bias for action with a dedication to robust, stable deployments.

 

Project:

Our client is a US-based innovator providing a centralized data platform for multi-family real estate. The product uses BI and AI analytics to help operators optimize marketing spend and operational efficiency. A core AI feature of this platform is an intelligent chatbot designed to help users seamlessly manage workflows, query data, and surface actionable insights.

What are we looking for?

• 5+ years of experience building and owning production-grade backend and ML systems in Python;
• Proven experience designing and deploying complex, multi-step LLM workflows and conversational agents (chatbots) using frameworks like LangChain or LangGraph;
• Deep understanding of RAG (Retrieval-Augmented Generation) pipelines: from chunking and embedding strategies to retrieval optimization and prompt engineering;
• Experience with "Text-to-SQL" or translating natural language into complex data queries, as the chatbot will interact heavily with BI analytics;
• Experience with LLM observability, tracing, and evaluation frameworks (e.g., Langfuse, Braintrust, Arize Phoenix, Ragas, or DeepEval);
• Experience with systematic prompt lifecycle management, versioning, and algorithmic optimization (e.g., DSPy);
• Experience profiling and minimizing time-to-first-token (TTFT) and overall response latency for real-time conversational agents;
• Strong analytical skills with the ability to explore datasets, identify patterns, measure outcomes, and derive actionable insights; 
• Familiar with data cleaning and normalization techniques to ensure accurate, consistent, and reliable data for analysis and AI-driven applications;
• Curious about how multi-family real estate works and motivated to understand the key metrics behind the business (marketing spend, operational efficiency etc.) to better tune AI outputs;
• English level: Upper-Intermediate (B2+).

What will you do?

• Design, develop, and own the core AI architecture powering the platform's intelligent chatbot and automated BI insights;
• Build and refine advanced RAG pipelines to ensure the chatbot surfaces accurate;
• Develop robust AI agents capable of managing platform processes and executing complex operational tasks on behalf of the user;
• Set up and maintain automated CI/CD gates that run LLM evals and integration tests;
• Maintain a high shipping tempo, continuously iterating on chatbot features based on user feedback and internal telemetry;
• Diagnose and fix complex issues in the AI pipeline using advanced tracing and observability tools;
• Work closely with data engineers and product managers to refine the technical roadmap and ensure the AI seamlessly integrates with the broader BI platform.

We Offer:

Working conditions:

• Ability to grow with an ambitious niche-focused company
• Competitive compensation;
• Accounting Support Services;
• Flexibility to work from anywhere (fully remotely or in our office in Lviv);
• Comprehensive day-off policy, including public holidays and special events
• Education & certification budget + corporate education events and trainings
• Wellness budget
• The environment and culture that promotes personal and team development.

Application Process:

• Initial Screening: Call with Recruiter.
• Technical Interview.
• Client Interview.
   

Ready to build the future of AI-driven real estate operations? Apply now and let’s get to work!

We are looking for a Senior Data Engineer to design and build scalable data platforms that process large volumes of data for analytics, reporting, and business-critical applications.

You will work with distributed data processing systems, cloud infrastructure, streaming platforms, and modern data pipelines. We are looking for an engineer who can independently own production solutions and solve complex performance and architecture challenges.

Mandatory Skills

Programming & Data Processing

• Strong Python development skills
• Advanced SQL (complex queries, optimization, execution plans)
• Strong commercial experience with Apache Spark / PySpark
• Experience optimizing Spark jobs (partitioning, shuffle, joins, skew handling)

Data Engineering

• Experience building production-grade ETL / ELT pipelines
• Strong experience with Apache Airflow
• Strong hands-on experience with Apache Kafka
• Understanding of batch and streaming data processing architectures

Infrastructure & Storage

• Experience with relational databases (PostgreSQL, MySQL or similar)
• Data modeling and query optimization
• Hands-on experience with at least one cloud platform (AWS, Azure or GCP)
• Experience working with Docker, Linux, Git, and basic CI/CD pipelines

Desired Skills

• Databricks, Snowflake or similar cloud data platforms
• Kubernetes
• CDC pipelines (Debezium or similar)
• Modern analytical/storage systems (ClickHouse, Trino, Iceberg, Delta Lake)
• Monitoring tools (Grafana, Prometheus)

Responsibilities

• Build scalable batch and streaming data pipelines
• Develop and optimize Spark/PySpark data processing jobs
• Build Kafka-based ingestion and event-driven pipelines
• Design and maintain Airflow orchestration workflows
• Optimize SQL queries and improve pipeline performance
• Investigate production issues and improve system reliability
• Participate in architecture and technical design discussions

Senior-Level Expectations

• Independently design scalable data pipelines
• Debug and optimize distributed production systems
• Solve performance bottlenecks in Spark and SQL workloads
• Make technical decisions with minimal supervision
• Take ownership of production solutions end-to-end

Soft Skills

• Strong problem-solving skills
• Ownership and accountability
• Ability to work independently
• Good communication and collaboration skills
• Proactive engineering mindset

Genesis is a full-service international IT company. More than 1,500 people in five countries create products for more than 200 million unique monthly users. We are one of the largest partners of Facebook, Google, Snapchat, and Apple in Eastern Europe. Our ecosystem consists of more than 15 companies and an investment fund.
 

EverHelp is a company in the Genesis ecosystem. We’re a team of professionals, that’s developing outsourcing support services for plenty of products all over the world at a dynamic tempo. The project launched in 2021, and last year we experienced a yearly growth rate of +82%. Since February 2022, we've managed to preserve all our workplaces and, most importantly, we continue to strengthen our team while maintaining an employee satisfaction rate of over 90%.
 

In 2026, EverHelp received 9 international workplace and employer awards. The company ranked #1 in the Top 30 Inspiring Workplaces in Europe, was named the #1 employer among European companies with 500–4,999 employees, and earned Best-in-Class recognition across 6 categories: Culture & Purpose, Leadership, Inclusion & Belonging, Wellbeing, Employee Voice, and Employee Experience. EverHelp was also named one of the 28 Best Places to Work by Business Intelligence Group — a global award recognizing companies with strong workplace cultures and outstanding employee experience.
 

Our statement:

• We’re against war and unjustified aggression,
• We evacuated all the teammates and their families from the frontline, helped them find a new place to live and provided financial support,
• We provided the team with charging stations,
• We continue to work together for the future of Ukraine.
   

EverHelp is scaling fast, and our data infrastructure needs a dedicated owner to keep it reliable and growing.
 

Your future responsibilities include:

• Building, optimizing, and maintaining ETL pipelines that extract data from ERP
  systems, databases, and APIs, transform it into a usable format, and load it into
  BigQuery
• Automating data ingestion, transformation, and loading processes to reduce manual
  intervention and ensure efficiency
• Monitoring and troubleshooting data pipelines proactively — catching performance
  issues, errors, and data quality problems before they escalate
• Managing and optimizing data storage: partitioning, indexing, and performance tuning
  in BigQuery
• Designing data models that represent the structure and relationships within business
  data
• Implementing data quality checks and validation rules at every stage of the pipeline
• Identifying and resolving data inconsistencies, errors, and missing values
• Conducting data audits and comparing results with business user needs — proposing
  solutions to close existing gaps
• Collaborating with analysts, data scientists, and business stakeholders to understand
  their data needs and translate them into scalable solutions
   

Why this role might be interesting for you:

If you love structure and enjoy optimizing processes — this is your playground. You'll make real-world architectural decisions, not just execute tickets. Every pipeline you build or improve directly powers business decisions at the highest level, so the impact of your work is visible and immediate. And if you want to be the person who shapes a data-driven culture from the inside — that's exactly the role we're offering.
 

Needed experience & skills:

• 1–2+ years of hands-on experience as a Data Engineer
• Advanced knowledge of SQL and Python
• Hands-on experience with GCP, in particular BigQuery
• Strong ETL and data warehousing skills: Apache Airflow, dbt
• Clear understanding of both the technical and business sides of data products
• Clear and concise communication; comfortable working cross-functionally with nontechnical stakeholders
• Proactive problem-solving mindset — analytical thinking and attention to detail
• English level — B2+
   

Nice to have skills:

• Experience at a large systematic company (retail, banking, telecom, FMCG, logistics)
• Comfort working autonomously as the only Data Engineer on a team
• Adaptability in a high-paced, fast-changing environment
   

Hiring Process:

CV Screening → Questionnaire → Intro Call → Tech & Soft Interview → Bar Raising
 

Work with EverHelp is about:

• Opportunity to join the Ukrainian company and help the Ukrainian economy,
• 20+ vacation days and unlimited sick leaves, corporate doctor & psychologist,
• Medical insurance and +10 Healthcare leaves for mental & physical recovery,
• Systematical learning & development inside a team and on an individual level: compensation for professional webinars, courses, conferences, etc.,
• Ability to work from Lviv & Kyiv offices with free breakfasts and lunches or fully remotely,
• Team of professionals who’s ready for knowledge sharing, internal professional communities, team buildings,
• Corporate discounts for gym membership and for other different services like medical services, language schools, etc.
   

Submit your resume and join our team!

dNOVO Group is looking for a person who can create websites using AI tools.

This is not a developer role.
This is not a coding role.
This is not a UX/UI designer role.

We need someone who knows how to use AI tools to build clean, professional websites and landing pages.

Responsibilities

• Create website pages using AI tools
• Generate layouts, sections, text, images, and website concepts
• Use AI website builders and AI design tools
• Edit and improve AI-generated websites
• Create homepages, service pages, landing pages, contact pages, and blog layouts
• Make sure pages look good on desktop and mobile
• Follow instructions and complete tasks quickly

Required Skills

• Strong experience using AI tools
• Ability to create websites with AI website builders
• Good eye for clean and modern website design
• Ability to write clear prompts
• Attention to detail
• Basic English communication skills
• Reliability and willingness to learn

AI tools may include:

ChatGPT, Claude, Lovable, Bolt, Framer AI, Webflow AI, Durable, Canva AI, WordPress AI tools, or similar.

To apply, please send:

• Your CV
• Examples of AI-generated websites you created
• A short list of AI tools you use
• Your expected monthly salary

We are seeking an experienced Senior Data Engineer to help build and scale modern data platforms that power analytics, reporting, and data-driven decision-making. In this role, you will work with cloud-based data ecosystems, leveraging Databricks and Spark technologies to process large volumes of data and deliver high-performance solutions across the organization.

You'll collaborate closely with engineering teams, analysts, and business stakeholders to design robust data architectures, improve data reliability, and support mission-critical initiatives.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines and processing frameworks.
• Create and optimize ETL/ELT workflows for efficient data ingestion and transformation.
• Work with high-volume datasets in distributed computing environments.
• Develop data models, transformation logic, and integrations across multiple systems.
• Partner with cross-functional teams to understand data requirements and deliver reliable solutions.
• Monitor and improve data quality, platform performance, and operational stability.
• Contribute to architecture decisions and implement data engineering best practices.
• Support cloud-based data infrastructure and continuous improvement initiatives.

Required Qualifications

• 7+ years of professional experience in Data Engineering.
• Proven hands-on expertise with Databricks in production environments.
• Strong experience with Apache Spark and PySpark.
• Advanced SQL skills with a focus on performance optimization.
• Solid background building and maintaining ETL/ELT processes.
• Strong Python development experience.
• Experience working with large-scale data processing and analytics platforms.
• Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP).
• Professional proficiency in both English (C1) and Russian (C1).
• Strong problem-solving skills and ability to work independently in a remote environment.

Contract Details

• Full-time engagement under a B2B agreement.
• Long-term, open-ended collaboration.
• Monthly gross compensation.
• Payments made to the contractor's registered business account (FOP / Sole Proprietorship / equivalent).
• Contractor is responsible for managing and paying their own taxes.
• Standard 8-hour workday.
• 30-day notice period.

Nice to Have

• Experience designing data lake or lakehouse architectures.
• Familiarity with data governance, monitoring, and observability tools.
• Experience supporting analytics, BI, or machine learning workloads.

If you have a strong background in Databricks and large-scale data engineering and are looking for a long-term remote opportunity, we'd love to hear from you.

Streamline is a supply chain planning platform, and AI agents are central to where we’re headed. We’re building toward a product that doesn’t just surface recommendations but can increasingly act on them — and the agents our users interact with are at the center of that.

We’re growing toward agents that take on more responsibility over time — moving step by step from co-pilot toward genuinely autonomous behavior. That progression is the core of the problem you’d be working on.

We’re looking for an AI Engineer to help us build it. You’ll work on the agents our users interact with — improving the ones we already have and building new ones — on top of an infrastructure and architecture that’s already in place, which you’ll also help extend and build out.

This is a hands-on role for someone who likes shipping. We’re not after a researcher or a model trainer; we want a strong, product-minded engineer who can take a problem, figure out the right AI approach, and deliver it well. You’ll have real ownership of what you build, and plenty of room to grow as our AI capabilities (and team) expand.

What you’ll do:

• Build and ship in-product AI agents — extending our multi-agent AI Assistant and creating new agents for new use cases
• Work on the progression from co-pilot to autonomy — building agents that take on more responsibility over time, from assisting the user toward handling tasks on their own
• Extend and improve the AI infrastructure — orchestration, context management, tool integrations, retrieval, and evaluation
• Maintain and improve existing AI features
• Set up and improve CI/CD and testing for our AI systems
• Help shape the processes and workflows around how we build and run AI — together with the wider team
• Work closely with the product team on the AI roadmap, bringing ideas for where AI can add the most value

• Keep an eye on a fast-moving field and bring in new tools and techniques where they help

   

Requirements:

• Solid software engineering skills, comfortable working in Python
• Hands-on experience building LLM-powered applications or agents (production experience is a big plus)
• Familiarity with agent frameworks and orchestration (ADK, LangGraph, LangChain, CrewAI, or similar)
• A working understanding of the building blocks of modern AI apps: prompting, tool/function calling, RAG, vector stores, context management
• A sense for how to evaluate whether an AI feature actually works, not just whether it runs
• Comfort with the practical side of shipping: testing, CI/CD, deployment, and being mindful of cost and latency
• A product-oriented mindset — you think about the user and the outcome

• Initiative and ownership — you can take something from idea to shipped without needing to be told every step

   

Nice to have:

• Familiarity with multiple LLM providers (Anthropic, Google, OpenAI)
• Experience steering and configuring agents through instruction/context files (e.g., CLAUDE.md, AGENTS.md)
• A grasp of agent skills and the ability to design and build them
• Experience with agent platforms for building and running multi-agent infrastructure (e.g., OpenClaw or similar)
• Experience with LLMOps / observability tooling (e.g., LangSmith, Langfuse, or similar)
• C++ — our product core is written in C++, so the ability to work with it directly is a real plus
• PostgreSQL (or any relational DB) — schema design, queries, indexing basics
• Docker basics — build and run a container, read a Dockerfile

• Experience in a product / SaaS environment

   

We Offer:

• Medical insurance.
• Friendly and supportive team environment.
• Opportunities for professional and career growth.
• Access to AI-powered tools to enhance productivity and daily work.
• Involvement in a fast-growing project.
• Paid lunch, corporate and team-building events.

We are seeking a Site Reliability Engineer; this is a fully remote job in the European time zone.

What You'll Be Doing

• Configuring and optimizing Nginx, php-fpm, PostgreSQL, ElasticSearch, Redis, RabbitMQ in production (daily routine)
• Monitoring system health with Prometheus, Victoria Metrics, Icinga, Opsgenie, Jira Service Management (daily routine)
• Managing cloud infrastructure: compute, storage, IAM, VPCs, load balancers
• Ensuring high availability and responding to incidents
• Participating in monthly on-call rotation (1 shift/month, 24h, with compensating days off)

Must Have

• Linux (RHEL) is required
• TCP/IP networking, firewalls, routing, load balancing
• Production experience with Nginx, php-fpm, PostgreSQL, ElasticSearch, Redis, RabbitMQ
• Monitoring stack: Prometheus, Victoria Metrics, Icinga, Opsgenie
• Cloud infrastructure management (any major cloud)
• English - Upper-Intermediate spoken (required)

Nice to Have

• Terraform, Ansible, Jenkins, GitLab CI
• Docker, Kubernetes, Helm
• Puppet DSL, PuppetDB
• ELK / OpenSearch stack

Conditions

• FOP contract
• Schedule: local business hours, Mon–Fri + 1 on-call shift/month (24h) with 2 compensating days off
• 24 vacation days/year

You will join a Regulatory Reporting Platform within a large US investment bank. The platform is responsible for collecting, processing, and transforming large volumes of data from multiple internal systems to produce regulatory reports for 240 jurisdictions worldwide. In total, the platform supports around 10,000 reports across a wide range of regulatory, compliance, financial, and risk reporting areas.
This is a large-scale, business-critical data platform operating in a highly regulated environment, where data accuracy, quality, traceability, and timely delivery are essential. The team works on building and enhancing data pipelines, implementing reporting logic, ensuring data validation and reconciliation, and supporting the generation of complex regulatory outputs.
The project is delivered by a global distributed team with colleagues located in Ukraine, Poland, and the US, offering close collaboration with engineers, analysts, and business stakeholders across multiple regions.

• Responsibilities:

  - Requirements elicitation, documenting and management.
  - Conduct insightful, ad hoc analysis to investigate possible production issues.
  - Maintaining project backlog
  - Participate in product increment acceptance testing and testing results analysis

• Mandatory Skills Description:

  - 6+ years of requirements management / business analysis experience
  - SQL knowledge, be able to write complex SQL queries
  - Understanding of Regulatory Reporting domain
  - Knowledge of US GAAP and IFRS
  - Technical Knowledge, ability to read the code
  - Experience in process analysis and documenting
  - Strong analytical and communication skills
  - Proactive team player, stress resistant

We are looking for a Business Analyst  with experience in Microsoft Dynamics Business Central to join our team. This role involves close collaboration with business stakeholders, analysis of processes, and implementation of ERP solutions.
 

🔧 Responsibilities

• Analyze and document business requirements
• Gather and formalize functional requirements
• Configure and support Microsoft Dynamics Business Central
• Participate in ERP implementation projects
• Communicate with stakeholders and end users
• Prepare documentation (BRD, SRS, user stories)
• Participate in testing and go-live activities
• Provide post-release support
   

✅ Requirements

• 3+ years of experience with Microsoft Dynamics Business Central (or NAV)
• Understanding of business processes (finance, supply chain, sales, procurement)
• Experience in writing business and technical documentation
• Experience in ERP implementations
• Strong communication skills
   

➕ Nice to have

• Experience with AL development or understanding of BC customization
• Experience with system integrations
• Microsoft Dynamics certifications