Jobs Data & Analytics

We are looking for an experienced Data Engineer to design and maintain robust data infrastructure across our systems. In this role, you will be responsible for building scalable data pipelines, ensuring data integrity, and integrating third-party data sources. Your primary focus will be to enable efficient data flow and support analytical capabilities across the organization. You will also contribute to the development of our data architecture, implement best engineering practices, and collaborate closely with cross-functional teams to turn raw data into actionable insights.

Requirements

• 3+ years of commercial experience in Data Engineering
• Experience gathering business requirements and communicating with stakeholders
• Strong knowledge of Data Warehouse (DWH) architecture and principles
• Hands-on experience designing data warehouses and building ETL pipelines
• Deep practical experience with Python
• Hands-on experience in one or more of the following areas: data processing using PySpark, Apache Spark, Pandas, or similar frameworks; data scraping; integration of third-party data sources and APIs
• Proficiency in SQL and relational databases such as PostgreSQL and MySQL
• Hands-on experience with column-oriented databases such ClickHouse, Snowflake, Cassandra, BigQuery (many tables with millions of records and above each)
• Solid understanding of software design patterns, algorithms, and data structures
• Intermediate English proficiency

Will be a plus

• Experience with messaging platforms such as RabbitMQ or Kafka
• Familiarity with DataOps practices and data pipeline automation
• Familiarity with CI/CD pipelines and Kubernetes environments
• Background in FinTech or Trading domains

Responsibilities

• Communicate with technical and non-technical stakeholders to gather and clarify business requirements
• Review and analyze data and business logic to ensure consistency, accuracy, and reliability
• Design, implement, and maintain data pipelines for efficient and scalable data processing
• Integrate, maintain, and support data solutions and third-party data sources
• Research and evaluate third-party tools, services, and components for potential use
• Follow engineering best practices, including code reviews, testing, refactoring, and continuous delivery
• Design, optimize, and maintain data storage solutions

What we offer:

• 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)

It's a product company at the core of Web3 infrastructure — the connectivity layer between wallets and apps across blockchains. Since 2018 they've grown to 75K+ apps, 700+ wallets, 50M+ users, backed by $38M (Union Square Ventures, Shopify, Coinbase Ventures, Circle Ventures, Uniswap Labs). They've just launched a crypto & stablecoin payments product — already live in Stripe, Coinbase Commerce, Shopify, and BitPay, plus an Ingenico deal reaching 40M+ terminals in 120+ countries.

This role sits at the intersection of data engineering and backend systems. You’ll build and operate event-driven data pipelines, maintain real-time processing systems, and ensure data quality across high-volume transactional workflows. You’ll also build backend services that expose data to internal platforms and APIs, so teams across the company can consume it.

Day-to-day, you’ll work with Python, SQL, ClickHouse, Airflow, and dbt within an event-driven architecture. You’ll own the systems you build end-to-end — including monitoring, reliability, and data correctness — and collaborate with product, engineering, and infrastructure teams to support new data use cases as the platform grows.

What they're after:

• 5+ years in data engineering — production pipelines you've built and operated
• Event-driven, real-time / near real-time processing
• Strong SQL + Python; modern stack (Airflow, dbt, ClickHouse, BigQuery, or similar)
• Nice to have: fintech/payments data, Web3, Rust

IMPORTANT: The company considers candidates only from fintech, payments, or high transaction volume products (e.g. Stripe, Adyen, Checkout.com, Revolut, and similar).

Workload — Full-time
Duration — Long-term
Location — any

Must-haves: 

At least 3 years of experience developing BI solutions using the Microsoft stack. Expertise in DAX: complex measures, calculation contexts, time intelligence, and optimization.

Experience developing SSAS Tabular models (or Power BI Premium datasets): model design, partitioning, processing configuration, and RLS; tools—Tabular Editor, SSDT/Visual Studio, DAX Studio.

Experience with Power BI Report Server (on-premises): 

publishing, connections, and limitations relative to the cloud version. Power Query (M) and Power BI report creation. 

SQL: complex queries and transformations, window functions, optimization. Understanding of DWH concepts: star schema, facts/measures, SCD, incremental loads.  

Nice to have: Experience implementing financial calculations: 

cost allocations, PnL, FTP, cascading/iterative distributions. DBT, GreenPlum. 

Experience configuring Excel as a client for SSAS (pivot tables, cube functions). 

MS SQL MDS (using reference tables in calculations). 

Git, CI/CD for BI artifacts. Experience working in banking, insurance, or fintech.

About the role and client:
We are looking for an Scraping Engineer who will design, build, and operate large-scale, resilient web scraping systems, with a focus on Google and Google-like search environments. This role sits at the intersection of data engineering, reverse engineering, and systems reliability, and is critical to delivering accurate, timely, and trustworthy data at scale. Our client is a leader in adopting coding with AI tools. The role is ideal for someone who believes in agentic coding and would like to improve their skills.

Responsibilities:
- Design and maintain large-scale Python scraping systems that operate reliably against Google and other highly defended websites
- Build scrapers for dynamic, JavaScript-heavy pages using browser automation and hybrid approaches
- Continuously adapt to changes in page structure, request flows, and anti-automation mechanisms
- Engineer robust extraction pipelines that prioritise data accuracy, consistency, and observability
- Implement proxy, fingerprinting, and request-routing strategies to maximise stability and throughput
- Monitor scrape health, detect failures early, and rapidly debug production issues
- Optimise performance, cost, and latency across scraping infrastructure
- Work closely with data engineers, data scientists, and product teams to ensure scraped data is usable and trusted
- Document scraping logic and operational runbooks for long-term maintainability

Requirements:
- Professional experience with Python (or another main language, i.e. GoLang, Rust, JavaScript) including production-grade scraping systems
- Experience scraping Google or similarly protected platforms
- Understanding of HTTP, TLS, cookies, headers, redirects, and browser networking behaviour
- Experience with tools such as Playwright, Selenium, Puppeteer, or equivalent browser automation frameworks
- Knowledge of HTML parsing, DOM traversal, and data extraction techniques
- Experience handling rate limiting, CAPTCHA, IP rotation, and bot detection systems
- Comfortable working with asynchronous and concurrent scraping architectures
- Experience running scrapers at scale in cloud environments
- Debugging skills and ability to reason about complex failure modes
- Experience with headless browser fingerprinting and anti-bot evasion techniques

Nice-To-Have:
- Familiarity with containerisation and orchestration, such as Docker and Kubernetes
- Experience with distributed task systems and job queues
- Background in data quality monitoring and anomaly detection
- Experience working with search, advertising, or competitive intelligence data

What the client offers:
- Startup Engineering culture
- Remote working
- Strong Culture
- Award-Winning Product
- Stock Options
- Trust-Based Vacation
- Flexible Work
- Career Growth
- Monthly Hackdays & Training Days
- Family Care Package
- Home Office Stipend
- Swag Welcome Gift
- Birthday Day Off
- Regular Socials
- Volunteer Days

🔹Who we are!

At Levi9, we are passionate about what we do. We love our work and together in a team, we are smarter and stronger. We are looking for skilled team players who make change happen. Are you one of these players?
 

🔹About the project

Our client is a leading media company in Western Europe, delivering high-quality content across newspapers, magazines, radio, TV, websites, apps, and podcasts. Their brands reach millions of people every day and help shape the media landscape through independent and trusted journalism.

We are developing AI capabilities for the digital advertising domain, helping improve campaign management, analytics, operational efficiency, and user engagement. The team will create a range of AI-driven solutions that address real business needs and evolve alongside the platform and market.

These solutions may combine agentic workflows, large language models, enterprise data, and backend integrations. They are designed with security, scalability, automated evaluation, observability, and cost efficiency in mind and are deployed as modular services on AWS.
 

🔹Responsibilities
— Develop data products at the intersection of data science, machine learning engineering, and AI to enable Total Video at scale
— Provide the crucial holistic data focus needed to successfully integrate the worlds of TV advertising and online video advertising
— With your expertise, you translate complex business challenges into concrete data solutions and contribute directly to the further development of an innovative product, that will transform the advertising market
— Analyze complex datasets and translating stakeholder challenges into concrete solutions, that you continuously improve iteratively
— Develop and implement scalable data products and models within a production environment
— Collaborate within a dedicated development and product team
 

🔹Requirements
— 5+ years of experience in a similar role
— Deep expertise in data science and machine learning, enabling you to design, train, and implement models in production environments
— Experience transforming data models into scalable data products, preferably within a media or advertising environment
— Strong analytical and conceptual skills, allowing you to recognize patterns in complex datasets and translate them into concrete solutions
— Experience with machine learning tools and MLOps systems such as Docker, Databricks, and MLflow
— Strong communication skills to clearly convey insights to both technical and non-technical stakeholders
 

🔹9 reasons to join us:

1. Today we’re working with the technology of tomorrow.
2. We don’t wait for a change. We are the change.
3. We’re experts in creating experts (Levi9 academy, Lead9 program for leaders).
4. No micromanagement. We are free birds with a clear understanding of what the high performance is!
5. Learning in Levi9 never stops (unlimited Udemy for business, meetups, English courses, Professional trainings).
6. Here you can train your body and mind.
7. We’ve gathered the best locations — comfortable, cozy and pet-friendly offices in Kyiv (5 minutes from Olimpiyska subway station) and Lviv (5 minutes from the Opera Theatre) with regular offline internal events
8. We have master’s degree in work-life balance.
9. We are actively supporting Ukraine with constant donations and volunteering

• Спілкування з бізнес-замовниками для збору та уточнення вимог до звітності та аналітичних дашбордів.
• Дослідження джерел даних та оцінка їх придатності для аналітичних задач.
• Підготовка TRD (Technical Requirements Document) для:
   - DWH-розробників (створення датамартів, трансформація даних);
  -  Tableau-розробників (створення BI-проєктів).
• Контроль життєвого циклу задач: від збору вимог до тестування та передачі у продакшн.
• Управління беклогом: постановка пріоритетів, розподіл задач, контроль статусів.
• Виконання SQL-запитів для аналізу даних та валідації результатів.

• Досвід роботи з T-SQL (написання запитів, аналіз даних).
• Розуміння життєвого циклу BI-рішень: від збору вимог до побудови звітності.
• Навички документування вимог у вигляді технічних завдань/специфікацій (ТЗ, TRD).
• Сильні комунікаційні навички: вміння перекладати бізнес-мову на технічну і навпаки.
• Досвід роботи з Tableau (створення дашбордів, проєктів).
• Завершені курси або сертифікації з бізнес-аналізу, SQL, BI-систем.

• Самостійне створення простих дашбордів у Tableau.

• Високонавантажені системи з реальними викликами масштабування
• Сучасний стек та свобода технологічних рішень
• Можливість впливати на архітектуру продуктів, якими користуються мільйони

• Менторство від сеньйорів з досвідом enterprise-рішень
• Разом будуємо інновації, що працюють для мільйонів

• Продукт, що змінює країну — не просто ще один стартап
• Тут команди стають драйверами технологічних змін

• Компенсація додаткових витрат, пов'язаних з робочими завданнями, здійснюються до внутрішніх політик компаній.
• Добровільне медичне страхування та страхування життя.
• Корпоративні знижки від партнерів NOVA.
• Підтримка ментального здоров'я. Можливість безоплатних консультацій з корпоративним психологом.
• Соціальна відповідальність та волонтерський рух “Свої для своїх”.
• Клуби за інтересами: біговий, шаховий та інші ініціативи для натхнення.
• Соціальні відпустки та компенсації відповідно до КЗпП України.

We are looking for strong engineers with solid experience in AWS, Spark/PySpark, data pipelines, and distributed data processing who are open to new opportunities and future project engagements.

Requirements

Must have

• 5+ years of commercial experience in Data Engineering
• Strong experience with AWS
• Hands-on experience with Spark / PySpark
• Experience building and maintaining data pipelines and ETL/ELT processes
• Experience with AWS S3
• Experience with Kafka, Kinesis, or similar streaming technologies
• Good knowledge of SQL and experience with PostgreSQL, MySQL, Redshift, or similar databases
• Experience with DynamoDB or other NoSQL databases
• Experience working with containerized applications, ideally AWS ECS / Fargate
• Strong understanding of distributed data processing and scalable data architectures
• Good English communication skills

Nice to have

• AWS Glue
• Amazon EMR
• AWS Batch
• AWS Step Functions
• Apache Flink
• Apache Beam
• Cassandra / ScyllaDB
• Experience with real-time data processing
• Experience with cloud-based data platforms

What we’re looking for

• Strong problem-solving and analytical skills
• Ability to work independently and take ownership of technical tasks
• Experience designing and improving data pipelines
• Ability to work with large-scale datasets
• Good communication and collaboration skills
• Willingness to work on different international projects depending on your experience and expertise

Creatio is an AI CRM and workflow platform where people and AI agents work together — with no limits on users,  agents, or scale. We help midsize and large organizations run customer workflows in the AI era. Headquartered in  Boston, MA, with a global team and a large ecosystem of partners, Creatio serves thousands of customers in over 100  countries and automates tens of millions of workflows daily. Genuine care for our clients and partners is at the heart of our DNA. 

We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports. 

In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture.

Who We’re Looking For:

We are looking for a proactive and technically curious DevOps Engineer who is passionate about building reliable internal infrastructure and improving engineering workflows through automation. In this role, you will contribute to the development and maintenance of CI/CD pipelines, enhance internal tools, and help ensure stable and efficient services for engineering, security, and other internal teams. 

We value people who enjoy solving complex technical challenges, continuously improving processes, and collaborating across teams to deliver impactful solutions.

The role is based in Ukraine.

Team composition:

1 Product owner, 1 Technical Lead, 4 DevOps Engineers.

Tech Stack:

• Monitoring: Zabbix, Grafana, Graylog
• Operating Systems: Unix-like (CentOS/Debian/Ubuntu), Windows Server
• Languages: Ready to work with Python, SQL, optional: Groovy, PowerShell
• Containers: Docker (and similar container runtimes)
• Orchestration & Service Mesh: Kubernetes, Istio
• CI/CD Systems: Jenkins, TeamCity
• Cloud services: Azure/AWS (optional)

• Others: Git, Terraform, Ansible, IIS, SVN

   

Responsibilities:

• Design, develop, and optimize automation for CI/CD pipelines (builds, quality checks, deployments, e2e testing, performance testing, etc), enabling faster and safer releases for R&D teams.
• Develop and maintain tools and services for development teams, security teams, and other stakeholders.
• Build and maintain advanced monitoring, alerting, and fault-tolerance systems, ensuring proactive detection and resolution of issues.

• Partner with developers, QA engineers, and architects to implement best practices in DevOps and automation.

   

What you should expect from us:

• Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential.
• Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally.
• Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one.
• Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve.
• Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type