Jobs Data Engineer

We're building a greenfield high-load media platform from scratch, allowing you to shape the architecture, choose the technology stack, and make key engineering decisions from the very beginning. This isn't about maintaining legacy systems—it's about designing and delivering scalable solutions that will evolve from PoC into production

You'll tackle complex engineering challenges around WebRTC, low-latency streaming, SFU/TURN infrastructure, and scaling the platform to 300,000 concurrent connections and 3M+ requests per second. As part of a small, highly skilled team, you'll have real ownership, fast decision-making, and the chance to build rare, highly valued expertise while making a visible impact on the product

In this role, you will

• Design and build the infrastructure for a greenfield streaming/WebRTC platform, ensuring scalability, low latency, and high availability
• Develop and maintain CI/CD pipelines and deployment strategies to support fast and reliable releases
• Manage cloud infrastructure and Kubernetes clusters using Infrastructure as Code tools
• Implement autoscaling, performance optimization, and load testing to ensure the platform can handle high traffic and peak loads
• Build and improve the platform's observability by implementing monitoring, logging, tracing, and alerting solutions
• Optimize infrastructure for performance, reliability, security, and cost efficiency
• Collaborate closely with backend engineers and product teams, contributing to architectural decisions and the evolution of the platform

It’s all about you

• 3+ years of experience as a DevOps Engineer in production environments
• Experience designing and building high-load infrastructure from scratch
• Hands-on experience with streaming, WebRTC, or social/multimedia products
• Production experience with Kubernetes, including scaling, autoscaling, and troubleshooting
• Expertise in Infrastructure as Code using Terraform and/or Ansible
• Experience with AWS or GCP, including compute, networking, and managed services
• Experience building CI/CD pipelines using GitLab CI or GitHub Actions, along with GitOps tools such as ArgoCD and Helm
• Knowledge of observability tools, including Prometheus, Grafana, logging, and distributed tracing
• Strong networking fundamentals, including UDP, RTP/RTCP, low-latency networking, and TURN/STUN (coturn)
• Experience with load testing and performance optimization for high-traffic production systems

Would be a plus

• Experience with media servers, such as mediasoup, LiveKit, Janus, or Jitsi
• Experience optimizing bandwidth-heavy streaming platforms and improving infrastructure cost efficiency
• Proficiency in scripting with Python, Go, or Bash

What we offer

Care and support: 

• 20 paid vacation days, 15 sick leave days, and 6 additional days off for family events
• 100% medical insurance coverage
• Sports and equipment reimbursement
• Team building events, corporate gifts, and stylish merch
• Financial and legal support
• Maternity Recovery Support Allowance
• Position retention and support for those who join the Armed Forces of Ukraine
• Participation in social initiatives supporting Ukraine

Comfortable working environment:

• Work from our Kyiv hub or remotely with a flexible schedule
• Modern equipment or depreciation of your own tools

Investment in your future:

• Collaborate with a highly-skilled team of Middle & Senior professionals, sharing practical cases and expertise in the social networking niche
• 70% of our heads and leads have grown into their roles here – so can you!
• Performance-oriented reviews and Individual Development Plans (IDPs)
• Reimbursement for professional courses and English classes
• Corporate library, book club, and knowledge-sharing events

Hiring process

• Intro call
• Technical Interview
• Final Interview
• Reference check 
• Offer
   

The Fourth Law is a leading Ukrainian manufacturer of autonomy technologies for drones. Our solutions are codified according to NATO standards and are currently utilized by over 50 units of the Security and Defense Forces of Ukraine, as well as 20+ drone manufacturers.

Our products are named after prominent Ukrainian figures of the “Executed Renaissance” and the “Sixtiers” movement—Vasyl Stus, Olena Teliha, Mykola Zerov, and Anatoliy Lupynos.

In 2026, the company was recognized by DOU as the most promising project in the defense tech sector.

Purpose of the Role: Develop and implement intelligent models to solve real-world business challenges. You will transform theoretical algorithms into functional tools that enhance our product

Key Responsibilities:

• Design, implement, and optimize machine learning models and algorithms;
• Collaborate with data scientists, software engineers, and product teams to deploy ML solutions;
• Conduct data preprocessing, feature engineering, and model evaluation;
• Monitor and maintain the performance of deployed ML models in production;
• Document model development, experiments, and results clearly and consistently;
• Stay up-to-date with the latest advancements in machine learning and AI technologies.

Experience and skills we are looking for:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field;
• 3+ years of experience in machine learning, data science, or related fields;
• Strong programming skills in Python, R, or similar languages;
• Proficiency with ML frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn;
• Experience with model training, evaluation, and optimization for real-world applications;
• Solid understanding of machine learning algorithms, data structures, and statistical methods;
• Ability to work independently, manage multiple tasks, and collaborate with cross-functional teams.

Why Choose US?

• Work that has a real impact. We build products that directly strengthen Ukraine’s defense capabilities.
• Opportunity to work alongside top-tier engineers in MilTech and autonomous systems.
• Official employment under the Diia.City legal framework.
• The possibility of reservation (deferment) for conscripts in accordance with the requirements of current legislation.
• Annual paid leave — 24 calendar days.
• Additional paid leave for veterans — 14 calendar days.
• Paid sick leave in accordance with the law.
• Possibility of reimbursement for training costs according to internal company policies.

We are not just looking for employees, but for like-minded individuals who share our values and are ready to build the future of Ukrainian MilTech.

N-iX is looking for a Middle Data Engineer to help build and operate a new AWS-based data lakehouse for our customer in the e-commerce domain. The ideal candidate has hands-on experience with AWS data services, modern data pipelines, and lakehouse architectures.

Our Client is a global full-service e-commerce and subscription billing platform on a mission to simplify software sales everywhere. For nearly two decades, we’ve helped SaaS, digital goods, and subscription-based businesses grow by managing payments, global tax compliance, fraud prevention, and recurring revenue at scale. Our flexible, cloud-based platform combined with consultative services helps clients accelerate growth, reach new markets, and build long-term customer relationships.

Data is at the heart of everything the client does—powering insights, driving innovation, and shaping business decisions. The client is building a next-generation data platform and is looking for a Middle Data Engineer to contribute to its development.

Role Overview:

As a Middle Data Engineer, you will contribute to building and operating a scalable and cost-efficient AWS data lakehouse. You will work closely with data engineers, DevOps engineers, architects, and product leads to implement reliable data pipelines, data models, and data products that support business decision-making.

Your Responsibilities:

• Develop and maintain scalable data pipelines using S3, Apache Iceberg, Glue Data Catalog, EMR, Airflow (MWAA), Python, and PySpark.
• Work with data across medallion layers, from source ingestion to reusable business entities, dimensional models, and analytics-ready datasets.
• Integrate data from various source systems, including databases, APIs, business applications, and file-based sources.
• Implement data transformations and contribute to building end-to-end data products, including scheduled data deliveries and serverless workloads using services such as AWS Lambda and S3.
• Apply automated testing and data quality practices across data pipelines and contribute to metadata management, cataloguing, lineage, and documentation using DataHub and AWS services.
• Prepare and make curated data available in Snowflake for analytics, reporting, and SQL-based use cases.
• Collaborate with architects, DevOps engineers, product owners, engineering managers, and Power BI engineers on solution implementation, CI/CD, and Terraform-based infrastructure.
• Monitor data pipelines and production workflows, investigate issues, improve performance and reliability, and maintain technical documentation and runbooks.

What We’re Looking For:

• 3+ years of experience in data engineering, ideally with AWS, lakehouse, or hybrid data platforms.
• Strong Python, PySpark, and SQL skills, with experience developing production data pipelines and data transformations.
• Practical experience with Airflow and AWS data services, including S3, Apache Iceberg, Glue Data Catalog, Glue Data Quality, Athena, and EMR.
• Good understanding of data modelling and harmonisation, including dimensional modelling, SCD Type 1 and 2, schema evolution, and working with data from multiple source systems.
• Experience integrating data from databases, APIs, business applications, and file-based sources.
• Understanding of data governance concepts, including metadata management, cataloguing, lineage, and documentation. Experience with DataHub is a plus.
• Familiarity with Snowflake, BI platforms, semantic layers, and SQL- or dbt-based transformation approaches.
• Experience with Git, GitLab CI/CD, automated testing, and Infrastructure as Code. Terraform experience is a plus.
• Good problem-solving and troubleshooting skills, with a proactive approach to learning and taking ownership of assigned tasks.
• Good communication and documentation skills.
• Upper-Intermediate English or higher to collaborate effectively with English-speaking stakeholders on the client side.

We offer*:

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

Who we are:

Adaptiq is a technology hub specializing in building, scaling, and supporting R&D teams for high-end, fast-growing product companies in a wide range of industries.

About the Product:

Our client operates a cloud-based platform dedicated to corporate ground transportation management, addressing a multi-billion-dollar market. The solution aggregates multiple transportation providers—such as corporate fleets, ride-hailing services, taxi operators, and limousine networks—into a unified system that helps businesses streamline operations and reduce spend. It serves a significant share of the largest companies worldwide and handles high volumes of transactions and data across diverse geographies. The platform’s core challenges include integrating heterogeneous external services, maintaining reliability under high-load conditions, implementing advanced business logic for scheduling and pooling, and providing accurate cost control and reporting. Strong backend engineering is critical to scaling global coverage, ensuring performance, and delivering a seamless user experience.

About the Role:

You will join a cross-functional development team responsible for core backend services that directly impact end users. The role offers full ownership of feature delivery—from reviewing product requirements and defining technical designs alongside architects and product managers, through to coding, testing, deployment, and monitoring in production. You will serve as first-line support for your services, proactively identify and address reliability and performance issues, and collaborate with other teams to ensure end-to-end system integrity. This position demands technical leadership, a hands-on approach to system architecture, and the ability to influence both engineering and product decisions. You will work remotely with periodic team gatherings and receive the tools and environment needed to deliver tangible business impact in a fast-paced, agile setting.

Key Responsibilities:

• Lead end-to-end development of backend microservices, including design, implementation, deployment, and production monitoring.
• Translate product requirements into scalable technical designs, data models, and RESTful APIs.
• Integrate with external transportation providers and internal systems to enable reliable, real-time workflows.
• Analyze and optimize system performance and database queries under high-load scenarios.
• Propose and implement architectural improvements to enhance resilience, scalability, and maintainability.
• Maintain and refactor existing services to improve code quality, test coverage, and observability.
• Collaborate with cross-functional teams and mentor peers on best practices in coding, testing, and operations.
• Participate in agile ceremonies, including backlog grooming and sprint planning, to align deliverables with business priorities.

Required Competence and Skills:

• 5+ years of backend software development experience in Ruby.
• Proven experience designing and implementing data-driven applications using relational databases (e.g., PostgreSQL) and NoSQL stores (e.g., Redis).
• Solid understanding of RESTful API design principles and the HTTP protocol.
• Hands-on experience with Agile/Scrum methodologies and iterative delivery.
• Proficiency in writing unit tests and applying automated testing practices.
• Strong English communication skills, both verbal and written.
• Ability to understand complex business domains and translate needs into optimal technical solutions.
• Deep understanding of system architecture, high-load applications, and concurrency principles.

Nice to Have:

• Experience developing in Golang;
• Expertise in performance tuning of relational databases.
• Familiarity with gRPC and Protocol Buffers.
• Prior work on high-load, distributed systems.
• Background in building concurrent applications.

Why Us:

We provide 20 days of vacation leave per calendar year (plus official national holidays of a country you are based in).

We provide full accounting and legal support in all countries we operate.

We utilize a fully remote work model with a powerful workstation and co-working space in case you need it.

We offer a highly competitive package with yearly performance and compensation reviews.

Who Are We?

Welltech is a global wellness technology company with Ukrainian roots. Our mission is to build and scale wellness apps globally through state-of-the-art, tech-driven performance marketing.

We are one of the most established players in the wellness app space, and we are accelerating. Over 25.5 million people across the world use our apps — Muscle Booster, Yoga-Go, and WalkFit — to build healthier habits, move more, and feel better every day. Every subscription represents a real person making a real change in their life, and we take that seriously.

With 500+ people across hubs in Cyprus, Ukraine, Poland, Spain, and the UK, we combine the scale of a market leader and the drive of a team that's just getting started.

What We're Looking For

As a Senior Data Engineer, you will play a crucial role in building and maintaining the foundation of our data ecosystem. You’ll work alongside data engineers, analysts, and product teams to create robust, scalable, and high-performance data pipelines and models. Your work will directly impact how we deliver insights, power product features, and enable data-driven decision-making across the company.

This role is perfect for someone who combines deep technical skills with a proactive mindset and thrives on solving complex data challenges in a collaborative environment.

Challenges You’ll Meet:

• Pipeline Development and Optimization: Build and maintain reliable, scalable ETL/ELT pipelines using modern tools and best practices, ensuring efficient data flow for analytics and insights.
• Data Modeling and Transformation: Design and implement effective data models that support business needs, enabling high-quality reporting and downstream analytics.
• Collaboration Across Teams: Work closely with data analysts, product managers, and other engineers to understand data requirements and deliver solutions that meet the needs of the business.
• Ensuring Data Quality: Develop and apply data quality checks, validation frameworks, and monitoring to ensure the consistency, accuracy, and reliability of data.
• Performance and Efficiency: Identify and address performance issues in pipelines, queries, and data storage. Suggest and implement optimizations that enhance speed and reliability.
• Security and Compliance: Follow data security best practices and ensure pipelines are built to meet data privacy and compliance standards.
• Innovation and Continuous Improvement: Test new tools and approaches by building Proof of Concepts (PoCs) and conducting performance benchmarks to find the best solutions.
• Automation and CI/CD Practices: Contribute to the development of robust CI/CD pipelines (GitLab CI or similar) for data workflows, supporting automated testing and deployment.

Required skills:

• 4+ years of experience in data engineering or backend development, with a strong focus on building production-grade data pipelines.
• 2-3+ years of experience working with AWS services (Administration of Redshift is a must),
• Solid experience working with AWS services (Spectrum, S3, RDS, Glue, Lambda, Kinesis, SQS).
• Proficient in Python and SQL for data transformation and automation.
• Experience with dbt for data modeling and transformation.
• Good understanding of streaming architectures and micro-batching for real-time data needs.
• Experience with CI/CD pipelines for data workflows (preferably GitLab CI).
• Familiarity with event schema validation tools/ solutions (Snowplow, Schema Registry).
• Excellent communication and collaboration skills.
  Strong problem-solving skills—able to dig into data issues, propose solutions, and deliver clean, reliable outcomes.
• A growth mindset—enthusiastic about learning new tools, sharing knowledge, and improving team practices.

Tech Stack You’ll Work With:

• Cloud: AWS (Redshift, Spectrum, S3, RDS, Lambda, Kinesis, SQS, Glue, MWAA)
• Languages: Python, SQL
• Orchestration: Airflow (MWAA)
• Modeling: dbt
• CI/CD: GitLab CI (including GitLab administration)
• Monitoring: Datadog, Grafana, Graylog
• Event validation process: Iglu schema registry
• APIs & Integrations: REST, OAuth, webhook ingestion
• Infra-as-code (optional): Terraform

Bonus Points / Nice to Have:

• Experience with additional AWS services: EMR, EKS, Athena, EC2.
• Hands-on knowledge of alternative data warehouses like Snowflake or others.
• Experience with PySpark for big data processing.
• Familiarity with event data collection tools (Snowplow, Rudderstack, etc.).
• Interest in or exposure to customer data platforms (CDPs) and real-time data workflows.

Candidate journey: ⭕️ Recruiter call ➔ ⭕️ Technical call with the hiring manager ➔ ⭕️ Meet the future stakeholders

Locations: Cyprus; Ukraine, Estonia; Bulgaria; Hungary; Latvia; Lithuania; Romania

Не просто код, а твій вплив на мільйони українців!

Nova Digital — це технологічне серце екосистеми NOVA, де твій код стає частиною щоденного життя цілої країни.

Про масштаб наших сервісів:

• 50+ млн запитів щодня проходять через наші системи
• 10+ млн активних користувачів покладаються на наші рішення

Ми будуємо не просто продукт — ми створюємо технологічну інфраструктуру, яка об’єднує людей, бізнеси та можливості вже майже по цілому світу.

Що робитимеш як Middle Data Engineer:

• створення та підтримка масштабованих та надійних конвеєрів даних для прийому даних з різних джерел (внутрішні системи, APls, зовнішні платформи);
• робота зі структурованими, напівструктурованими даними, забезпечуючи якість, узгодженість та цілісність даних;
• розробка та підтримка процесів ETL/ELT; 
• обробка великих масивів даних в Spark (Data Lake); 
• оптимізація PySpark пайплайнів; 
• робота з структурами даних JSON, Parquet; 
• створення вітрин даних в BigQuery; 
• робота з Postgres та MSSQL.

Твій ідеальний профіль:

Must-have:

• 3+ років досвіду в сфері Data Engineering;
• професійний досвід роботи з Python, PySpark, GCP; 
• досвід роботи з SQL (MS, Postgres, BigQuery) ;
• досвід побудови пайплайнів міграції даних (ETL) ;
• досвід роботи з Apache Airflow; 
• навички роботи з GCP сервісами: (PubSub, Dataproc, Composer, CloudStorage); 
• досвід роботи з форматами JSON, Parquet.
  

Nice-to-have:

• досвід роботи з Tableau або іншими BI інструментами.

Чому експерти різних напрямів працюють з нами:

Технологічно:

• Високонавантажені системи з реальними викликами масштабування

• Сучасний стек та свобода технологічних рішень

• Можливість впливати на архітектуру продуктів, якими користуються мільйони

Професійно:

• Менторство від сеньйорів з досвідом enterprise-рішень

• Разом будуємо інновації, що працюють для мільйонів

Ідейно:

• Продукт, що змінює країну — не просто ще один стартап

• Тут команди стають драйверами технологічних змін

Benefits:

• 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.

Наступний крок за тобою.
Ми  чекаємо на знайомство — залишилось лише отримати твоє резюме.

Очікуваний термін відповіді — до 10 робочих днів.