Jobs Data Engineer

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!!!

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.

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!

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.

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

Are you passionate about building cutting-edge, AI-ready data platforms from the ground up? We are looking for a Senior Data Engineer to join our Data Engineering Team and lead high-impact, greenfield initiatives.

You will work on building modern cloud-native data platforms, migrating on-premises legacy systems to the cloud, and laying the architectural foundation for AI-ready data infrastructure.

In this role, you will collaborate closely with Machine Learning, Data Science, and Product teams, serving as a key technical contributor and thought leader. You will also drive R&D efforts around agentic AI architectures, event-driven systems, and LLM-ready data pipelines — turning architectural concepts into production-grade solutions.

Responsibilities:

• Design and build scalable, cloud-native data platforms from greenfield to production
• Implement near-real-time ingestion pipelines using event-driven patterns
• Define and enforce platform standards, including Data Lake / Lakehouse principles, medallion architecture, and data contracts
• Refactor and optimise existing Spark and PySpark scripts for performance and maintainability
• Introduce best practices for code quality, testing, and CI/CD across data pipelines
• Drive adoption of AI tooling and agentic workflows within the data engineering team
• Ensure data quality, observability, and reliability across all pipelines and platforms

• Develop self-service tooling and microservices to simplify platform usage for other teams

   

Requirements:

• 5+ years of professional experience in Data Engineering
• Strong Python and SQL development skills for pipeline development and optimisation
• Proficiency in Apache Spark / PySpark, including query optimisation and performance tuning
• Hands-on experience with Databricks (preferred) or Snowflake
• Experience with at least one major cloud provider: Azure (preferred), AWS, or GCP
• Experience with stream processing technologies (Kafka, Spark Structured Streaming)
• Solid understanding of ETL/ELT patterns, data modelling (dimensional, Data Vault), and data warehousing
• Experience with orchestration tools (Apache Airflow, Azure Data Factory, or equivalent)
• Knowledge of Infrastructure as Code (Terraform or equivalent)
• Understanding of production-grade system requirements: reliability, scalability, observability, and performance

• Upper-Intermediate English level

   

Will be a plus

• Familiarity with RAG pipeline design and LLM integration patterns
• Knowledge of data governance frameworks and tools (Unity Catalog, Apache Atlas, or similar)
• Experience with dbt for data transformation and modelling

• Familiarity with MLflow, Feature Stores, or ML platform integration

   

Personal profile

• Self-driven and proactive in identifying improvements
• Comfortable working in a fast-paced, innovative environment
• Strong problem-solving mindset with attention to detail
• Open to experimenting with emerging technologies and approaches

_____________________________________________________________

Ти захоплюєшся створенням передових, AI-ready дата-платформ з нуля? Ми шукаємо Senior Data Engineer, щоб ти приєднався(-лася) до нашої команди Data Engineering та очолив(-ла) масштабні, інноваційні ініціативи з нуля.

Ти працюватимеш над побудовою сучасних хмарних дата-платформ, міграцією локальних (on-premises) легасі-систем у хмару та створенням архітектурного фундаменту для AI-ready дата-інфраструктури.

У цій ролі ти тісно співпрацюватимеш з командами Machine Learning, Data Science та Product, виступаючи ключовим технічним експертом та лідером думок. Також ти вестимеш R&D-роботи над agentic AI-архітектурами, подієво-орієнтованими системами та LLM-ready дата-пайплайнами — перетворюючи архітектурні концепції на готові до продакшену рішення.

Обовʼязки:

• Проєктувати та створювати масштабовані, хмарні дата-платформи від концепції до продакшену
• Реалізовувати пайплайни для майже реального часу (near-real-time ingestion) з використанням подієво-орієнтованих патернів
• Визначати та впроваджувати стандарти платформи, включно з принципами Data Lake / Lakehouse, медальйонною архітектурою та дата-контрактами
• Рефакторити та оптимізувати наявні скрипти на Spark та PySpark для підвищення продуктивності та зручності підтримки
• Запроваджувати найкращі практики якості коду, тестування та CI/CD для дата-пайплайнів
• Сприяти впровадженню AI-інструментів та agentic-підходів у команді дата-інженерів
• Забезпечувати якість, спостережуваність (observability) та надійність усіх пайплайнів і платформ

• Розробляти self-service інструменти та мікросервіси, що спрощують використання платформи іншими командами

   

Вимоги:

• 5+ років комерційного досвіду в Data Engineering
• Сильні навички розробки на Python та SQL для створення та оптимізації пайплайнів
• Впевнене володіння Apache Spark / PySpark, включно з оптимізацією запитів та налаштуванням продуктивності
• Практичний досвід роботи з Databricks (бажано) або Snowflake
• Досвід роботи з принаймні одним великим хмарним провайдером: Azure (бажано), AWS або GCP
• Досвід роботи з технологіями потокової обробки даних (Kafka, Spark Structured Streaming)
• Глибоке розуміння ETL/ELT-патернів, моделювання даних (dimensional, Data Vault) та побудови дата-складів
• Досвід роботи з інструментами оркестрації (Apache Airflow, Azure Data Factory або аналогами)
• Знання Infrastructure as Code (Terraform або аналогів)
• Розуміння вимог до продакшен-рішень: надійність, масштабованість, спостережуваність, продуктивність

• Рівень англійської — Upper-Intermediate

   

Буде плюсом:

• Знайомство з проєктуванням RAG-пайплайнів та патернами інтеграції LLM
• Знання фреймворків і інструментів для data governance (Unity Catalog, Apache Atlas або подібних)
• Досвід роботи з dbt для трансформації та моделювання даних

• Знайомство з MLflow, Feature Stores або інтеграцією з ML-платформами

   

Особистий профіль:

• Самомотивованість та проактивність у пошуку покращень
• Комфортна робота у швидкому та інноваційному середовищі
• Сильне аналітичне мислення та увага до деталей
• Відкритість до експериментів з новими технологіями та підходами

We are looking for a Data Architect who will participate in the formation and development of Data Governance across the entire Bank. The main goal is to design and implement a comprehensive data architecture for the bank that ensures data quality, accessibility, security, and traceability (lineage) to support the Data Governance strategy, which ensures data consistency, business decision support, regulatory compliance, and maximization of data value as a strategic asset

Your future responsibilities:

• Designing target architecture: developing data models and requirements for their description
• Building data flow maps from source systems to reporting to ensure complete transparency of data origin
• Performing data profiling and analysis of the source system
• Formulating clear conclusions to support the end use of data
• Use metadata repositories to perform data and system integration impact analysis
• Participate in defining data exchange principles (ETL/ELT, Kafka, REST API) with a focus on data integrity
• Participate in the implementation of Data Quality Management (DQM): rules, monitoring, control
• Participate in the implementation of Data Governance controls in business processes and systems
• Identify data-related risks, develop and monitor a minimization plan
• Implement KPIs and OKRs for the Data Governance program
• Communicate results to key stakeholders

Your skills and experience:

• 3+ years of experience in banking or finance
• Expertise in data modeling techniques
• Strategic thinking and architectural approach
• Deep understanding of Data Governance Frameworks (DAMA-DMBOK, DCAM)
• Expertise in Data Quality, Master Data, Metadata, Data Security
• Strong analytical and problem-solving skills, as well as the ability to identify and solve complex data management issues
• Deep understanding of regulatory requirements (BCBS 239, GDPR)
• Communication skills: ability to translate complex data concepts into business-friendly language
• Familiarity with agile methodologies in a data environment

We offer what matters most to you:

• Competitive salary: we guarantee a stable income and annual bonuses for your personal contribution. Additionally, we have a referral program with rewards for bringing in new colleagues to Raiffeisen Bank
• Social package: official employment, 28 days of paid leave, additional paternity leave, and financial assistance for parents with newborns
• Comfortable working conditions: possibility of a hybrid work format, offices equipped with shelters and generators, modern equipment. Classification: PUBLIC
• Wellbeing program: all employees have access to medical insurance from the first working day; consultations with a psychologist, nutritionist, or lawyer; discount programs for sports and purchases; family days for children and adults; in-office massages
• Training and development: access to over 130 online training resources; corporate training programs in CX, Data, IT Security, Leadership, Agile. Corporate library • Great team: our colleagues form a community where curiosity, talent, and innovation are welcome. We support each other, learn together, and grow. You can find like-minded individuals in over 15 professional communities, reading clubs, or sports clubs
• Career opportunities: we encourage advancement within the bank across functions
• Innovations and technologies: Infrastructure: AWS, Kubernetes, Docker, GitHub, GitHub actions, ArgoCD, Prometheus, Victoria, Vault, OpenTelemetry, ElasticSearch, Crossplain, Grafana. Languages: Java (main), Python (data), Go (infra, security), Swift (IOS), Kotlin (Android). Data stores: Sql-Oracle, PgSql, MsSql, Sybase. Data management: Kafka, AirFlow, Spark, Flink
• Support program for defenders: we maintain jobs and pay average wages to mobilized individuals. For veterans, we have a support program and develop the Bank’s veterans community. We work on increasing awareness among leaders and teams about the return of veterans to civilian life. Raiffeisen Bank has been recognized as one of the best employers for veterans by Forbes

Why Raiffeisen Bank?

• Our main value is people, and we support and recognize them, educate them and involve them in changes. Join Raif’s team because for us YOU matter!
• One of the largest lenders to the economy and agricultural business among private banks
• Recognized as the best employer by EY, Forbes, Randstad, Franklin Covey, and Delo.UA
• The largest humanitarian aid donor among banks (Ukrainian Red Cross, UNITED24, Superhumans, СМІЛИВІ)
• One of the largest IT product teams among the country’s banks. • One of the largest taxpayers in Ukraine; 6.6 billion UAH were paid in taxes in 2023

Opportunities for Everyone:

• Rife is guided by principles that focus on people and their development, with 5,500 employees and more than 2.7 million customers at the center of attention
• We support the principles of diversity, equality and inclusiveness
• We are open to hiring veterans and people with disabilities and are ready to adapt the work environment to your special needs
• We cooperate with students and older people, creating conditions for growth at any career stage

Want to learn more? — Follow us on social media:

, , 

___________________________________________________________________________________________

Райффайзен Банк — найбільший український банк з іноземним капіталом. Більше 30 років ми створюємо та вибудовуємо банківську систему нашої держави.

У Райфі працює понад 5 500 співробітників, серед них одна із найбільших продуктових ІТ-команд, що налічує понад 800 фахівців. Щодня пліч-о-пліч ми працюємо, щоб більш ніж 2,7 мільйона наших клієнтів могли отримати якісне обслуговування, користуватися продуктами і сервісами банку, розвивати бізнес, адже ми #Разом_з_Україною. 

Ми шукаємо Дата Архітектора, який візьме участь у формуванні та розвитку Data Governance у масштабах всього Банку. Основна мета — проєктування та впровадження цілісної архітектури даних банку, яка забезпечує якість, доступність, безпеку та простежуваність (lineage) даних для підтримки стратегії Data Governance, яка забезпечує узгодженість даних, підтримку бізнес-рішень, відповідність регуляторним вимогам та максимізацію цінності даних як стратегічного активу.

Твої майбутні обов’язки:

• Проєктування цільової архітектури: розробка моделей даних та вимог до їхнього опису
• Побудова карт потоків даних від систем-джерел до звітності, щоб забезпечити повну прозорість походження даних
• Проводити профілювання даних та аналіз вихідної системи
• Формулювання чітких висновків для підтримки кінцевого використання даних
• Використовувати репозиторії метаданих для виконання аналізу впливу інтеграції даних та систем
• Приймати участь у визначенні принципів обміну даними (ETL/ELT, Kafka, REST API) з фокусом на цілісність даних
• Участь у впровадженні Data Quality Management (DQM): правила, моніторинг, контроль
• Приймати участь у впровадженні контролів Data Governance у бізнес-процеси та системи
• Ідентифікація ризиків, пов’язаних з даними, розробка та контроль плані мінімізації
• Впровадження KPI та OKR для Data Governance програми
• Комунікація результатів ключовим стейкхолдерам

Твій досвід та навички:

• 3+ досвід роботи в банківській або фінансовій галузі
• Експертне володіння методиками моделювання даних
• Стратегічне мислення та архітектурний підхід
• Глибоке розуміння Data Governance Frameworks (DAMA-DMBOK, DCAM)
• Експертиза в Data Quality, Master Data, Metadata, Data Security
• Сильні аналітичні навички та навички вирішення проблем, а також здатність виявляти та вирішувати складні проблеми управління даними
• Глибоке розуміння регуляторних вимог (BCBS 239, GDPR)
• Комунікаційні навички: здатність перекладати складні концепції даних на зрозумілу для бізнесу мову
• Знайомство з гнучкими методологіями в середовищі даних

Пропонуємо те, що має значення саме для тебе: 

• Конкурентна заробітна плата: гарантуємо стабільний дохід та річні бонуси за твій особистий внесок. Додатково, у нас діє реферальна програма винагороди за залучення нових колег до Райффайзен Банку.
• Соціальний пакет: офіційне працевлаштування, 28 днів оплачуваної відпустки, додатковий “декрет” для татусів, та матеріальна допомога для батьків при народженні дітей.
• Комфортні умови праці: можливість гібридного формату роботи, офіси забезпеченні укриттями та генераторами, забезпечення сучасною технікою.
• Wellbeing програма: для всіх співробітників доступні медичне страхування з першого робочого дня; консультації психолога, нутриціолога чи юриста; дисконт програми на спорт та покупки; family days для дітей та дорослих; масаж в офісі.
• Навчання та розвиток: доступ до понад 130 навчальних онлайн-ресурсів; корпоративні навчальні програми з CX, Data, IT Security, Лідерства, Agile. Корпоративна бібліотека та уроки англійської.
• Крута команда: наші колеги — це спільнота, де вітаються допитливість, талант та інновації. Ми підтримуємо один одного, вчимося разом та зростаємо. Ти можеш знайти однодумців у понад 15-ти професійних ком’юніті, читацькому чи спортивному клубах.
• Кар’єрні можливості: ми заохочуємо просування всередині банку між функціями.
• Інновації та технології. Infrastructure: AWS, Kubernetes, Docker, GitHub, GitHub actions, ArgoCD, Prometheus, Victoria, Vault, OpenTelemetry, ElasticSearch, Crossplain, Grafana. Languages: Java (main), Python (data), Go(infra,security), Swift (IOS), Kotlin (Andorid). Datastores: Sql-Oracle, PgSql, MsSql, Sybase. Data management: Kafka, AirFlow, Spark, Flink.
• Програма підтримки захисників і захисниць: ми зберігаємо робочі місця та виплачуємо середню заробітну плату мобілізованим. Для ветеранів та ветеранок у нас діє програма підтримки, розвивається ветеранська спільнота Банку. Ми працюємо над підвищенням обізнаності керівників та команд з питань повернення ветеранів до цивільного життя. Райффайзен Банк відзначений як один з найкращих роботодавців для ветеранів (Forbes).

Чому Райффайзен Банк? 

• Наша головна цінність — люди і ми даємо їм підтримку і визнання, навчаємо, залучаємо до змін. Приєднуйся до команди Райфу, адже для нас ТИ маєш значення! 
• Один із найбільших кредиторів економіки та аграрного бізнесу серед приватних банків 
• Визнаний найкращим працедавцем за версіями EY, Forbes, Randstad, Franklin Covey, Delo.UA 
• Найбільший донор гуманітарної допомогисеред банків (Червоний Хрест України, UNITED24, Superhumans, СМІЛИВІ) 
• Один із найбільших платників податків в Україні, за 2023 рік було сплачено 6,6 млрд гривень

Можливості для всіх: 

• Райф керується принципами, що фокусуються на людині та її розвитку, у центрі уваги 5 500 співробітників та понад 2,7 мільйони клієнтів  
• Підтримуємо принципи різноманіття, рівності та інклюзивності
• Ми відкриті до найму ветеранів і людей з інвалідністю та готові адаптувати робоче середовище під ваші особливі потреби
• Співпрацюємо зі студентами та людьми старшого віку, створюючи умови для зростання на будь-якому етапі кар’єри

Adaptiq, on behalf of AppsFlyer, is looking for a Data Engineer

About AppsFlyer:

AppsFlyer provides a SaaS marketing analytics platform that measures and optimizes marketing activities across mobile, web, CTV, PC, and console applications. AppsFlyer is known for its massive backend production. At any given moment, thousands of servers are consuming 150+ billion mobile app events, crunching our users’ data, serving requests, and communicating on a massive scale.

To maintain the universe we call AppsFlyer, we practice modern production operations with a complete self-serve CI/CD platform, a highly integrated observability stack for our micro-services, backends, and infrastructure, a culture of ownership and eagerness for quality.

The Analytics group is responsible for showing our clients the stories their data is telling. Through complex aggregation, mission-tailored analytical databases, and carefully crafted APIs we are able to provide slice-and-dice analysis in our beautiful dashboards and through the use of external integrations.

About the Role:

As a Data Engineer within the Analytics group at AppsFlyer, you will own the end-to-end journey of event data – from ingestion and processing to storage, modeling, and API delivery. 

You will design and implement data pipelines using Apache Airflow and Spark, choose and optimize analytical databases, and integrate new components in our hybrid microservices environment. You will collaborate with product managers and cross-functional teams, troubleshoot production incidents, and influence our migration toward Google Cloud and BigQuery. This role offers autonomy over feature design, real impact on a platform handling billions of events daily, and the chance to contribute to open-source projects or speak at industry forums.

Key Responsibilities:

• Develop and maintain data processing pipelines using Apache Airflow, Scala Spark or PySpark.
• Select, model and optimize analytical databases for high-throughput, low-latency queries.
• Design and implement backend services and APIs for data ingestion, aggregation and client consumption.
• Monitor system performance and stability; diagnose and resolve production issues.
• Collaborate with product managers and engineers to plan and deliver complex features.
• Drive migration efforts to Google Cloud Platform, BigQuery and modern data tooling.
• Participate in on-call rotations, alerting via PagerDuty and incident response procedures.
• Document system architecture and data flows; maintain code quality and tests.

Required Competence and Skills:

• 3+ years of software development experience with a focus on data engineering.
• Practical experience with Apache Spark (Scala or PySpark) and Apache Airflow.
• Experience building and maintaining high-throughput, low-latency distributed data systems.
• Strong SQL skills and experience with data modeling for analytics workloads.
• Familiarity with JVM languages (Scala, Java, Clojure) or Python for backend development.
• Experience with cloud platforms – preferably GCP – and data warehouses such as BigQuery.
• Proven ownership of production systems and on-call incident management.
• Excellent communication skills in English for distributed teamwork.
• B.Sc. in Computer Science or equivalent practical experience.

Nice to Have:

• Production experience with large-scale databases and ETL tooling.
• Hands-on background in Go or Clojure backend services.
• Experience with production-grade BigQuery ETL and data pipelines.
• Contribution to open-source projects or public speaking at meetups/conferences.
• An “AI mindset” – familiarity with tools like GitHub Copilot and emerging AI workflows.

Benefits Package includes:

• Health Insurance
• Paid Unlimited Vacation Days + all national holidays + additional recharge days
• Meals Reimbursement
• Sport Reimbursement
• Breakfast in the office
• Mental health program
• Team building, happy hours, and other team activities
• Paid sick days
• Snacks, fruits & ice-cold beer
• All new team members are provided with a brand-new Mac laptop with 2 monitors and a Starter package

About us

We are supporting a Berlin-based logistics technology product company that leverages data and AI to improve operational efficiency and deliver smarter experiences for drivers. The team is currently moving an already validated concept from research into a production-ready MVP that will become part of the existing product ecosystem.

You’ll work on a high-impact project involving geospatial data, machine learning, and real-world logistics challenges while collaborating closely with internal product, engineering, and data teams.

Responsibilities

• Own the data science and ML development process from research validation to a production-ready MVP.
• Design, build, and improve data pipelines and ETL processes that feed machine learning models.
• Work with positional, geospatial, and location-based datasets.
• Develop, validate, and iterate on ML models that identify relevant locations and generate actionable insights.
• Prepare models and pipelines for scheduled production execution.
• Collaborate with internal data, product, and engineering teams to understand infrastructure, available data, and business requirements.
• Translate high-level business objectives into technical implementation plans.
• Make technical decisions independently while keeping stakeholders aligned.
• Document assumptions, limitations, and handover materials for the internal team.

• Ensure the solution can be scaled, improved, and integrated into the company’s existing product suite.

   

Requirements

• Strong ownership mindset and ability to work autonomously with minimal day-to-day supervision.
• 5+ years of experience in Data Science, Machine Learning, or ML Engineering.
• Proven experience building ML solutions from concept to MVP or production.
• Strong Python skills and hands-on experience with common ML and data science libraries.
• Solid experience with ETL processes, data pipelines, and model input pipelines.
• Experience working with large-scale, imperfect real-world datasets.
• Experience with positional, geospatial, mobility, logistics, or location-based data.
• Practical experience deploying or preparing ML models for production environments.
• Strong understanding of model evaluation and the trade-offs between accuracy, performance, and business value.

• Ability to communicate with stakeholders, clarify requirements, identify blockers, and drive initiatives forward.

   

Nice to have

• Experience in logistics, transportation, mobility, route optimization, delivery, or fleet-management products.
• Familiarity with AWS, GCP, or other cloud-based data infrastructure.
• Experience with batch processing, workflow orchestration, or scheduled production pipelines.
• Experience handing over ML solutions to internal engineering or data teams.

• Previous experience in startup or product-oriented environments.

   

What we offer

• Competitive compensation and performance bonuses.
• Remote-first culture with flexible working hours.
• Opportunity to work on a high-impact AI and logistics product.
• High level of ownership and influence on technical decisions.
• Open-minded, results-driven environment.
• Collaboration with experienced product, engineering, and data teams.
• Opportunity to take a validated concept and turn it into a scalable production solution.

YozmaTech isn’t just another tech company – we’re a global team of go-getters, innovators, and A-players helping startups and product companies scale smarter and faster.
We build dedicated development teams across 10+ countries, creating strong, long-term partnerships based on trust, transparency, and real impact.
Here, every idea counts. We value people who are proactive, open-minded, and ready to grow. If you’re passionate about building meaningful products and want to join a team that feels like family – you’ll feel right at home with us.

Our client looking for a Platform Engineer to drive critical infrastructure initiatives across our backend systems, with primary ownership of our core platform.
This is a high-impact role where you'll architect scalable solutions that serve our entire engineering organization - core platform services that power our AI editing capabilities.
You'll have the opportunity to shape technical decisions across multiple domains while ensuring our platform systems are robust, reliable, and optimized for growth.

Key Requirements:
🔹 5+ years of experience as a Backend Engineer, with experience building platform services or shared infrastructure;
🔹 B.Sc in Computer Science, Software Engineering, or a related field from a well-known university;
🔹 Proven expertise in backend server development, using languages like Python, Scala, Go, or Java;
🔹 Solid understanding of system design principles, API architecture, and service-oriented architectures;
🔹 Proficiency with AWS services and cloud-based architectures;
🔹 Excellent communication skills for collaborating across engineering, product, and operations teams;
🔹 Proactive mindset, having the will and ability to find areas where optimizations can benefit the entire org;
🔹 English – Upper-Intermediate or higher.

What you will do:
🔹 Drive platform-level initiatives that improve scalability, reliability, and developer experience across our backend systems;
🔹 Collaborate with multiple departments to support new platform features and technical initiatives;
🔹 Monitor platform health, investigating and resolving incidents and reliability issues;
🔹 Develop and optimize shared platform services, APIs, and infrastructure used across engineering teams;
🔹 Create internal tools and frameworks that improve developer productivity and system reliability;
🔹 Drive initiatives to improve observability, monitoring, and operational excellence across our infrastructure;

Interview stages:
🔹 HR Interview;
🔹 Tech interview;
🔹 Client Interviews;
🔹 Reference check;
🔹 Offer;

Our customer is the European online car market with over 30 million monthly users, with a market presence in 18 countries. As a Senior Data Engineer, you will play a pivotal role in shaping the future of online car markets and enhancing the user experience for millions of car buyers and sellers.

Requirements:

• 5+ years of experience in data engineering;
• Expertise in AWS services ( Glue, Athena, etc.);
• Proficiency in Python, PySpark, GCP;
• Experience with Snowflake, DBT, SQL, Airflow;
• Expirience with Qlik to AWS Datalake (nice to have);
• English - Upper-Intermediate+;
• Experience in building and maintaining data pipelines;
• Experience in building data platforms, not just using them;

• Proficiency in data modeling techniques and best practices.

   

Responsibilities:

• Work on migration from Snowflake to the client’s service;
• Propose improvements, be actively involved in team discussions and decision-making, drive initiatives;
• Work closely with a team of Senior Engineers, Product & Project Manager and Data Analysts.
   

We offer*:

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

*not applicable for freelancers

Our customer is the European online car market with over 30 million monthly users, with a market presence in 18 countries. As a Senior Data Engineer, you will play a pivotal role in shaping the future of online car markets and enhancing the user experience for millions of car buyers and sellers.

Requirements:

• 5+ years of experience in data engineering;
• Expertise in AWS services ( Glue, Athena, etc.);
• Proficiency in Python, PySpark, GCP;
• Experience with Snowflake, DBT, SQL, Airflow;
• Expirience with Qlik to AWS Datalake (nice to have);
• English - Upper-Intermediate+;
• Experience in building and maintaining data pipelines;
• Experience in building data platforms, not just using them;

• Proficiency in data modeling techniques and best practices.

   

Responsibilities:

• Work on migration from Snowflake to the client’s service;
• Propose improvements, be actively involved in team discussions and decision-making, drive initiatives;
• Work closely with a team of Senior Engineers, Product & Project Manager and Data Analysts.
   

We offer*:

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

*not applicable for freelancers

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.

RequirementsMust-Have Qualifications

• 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

The hiring process is designed to be straightforward and practical:

1. Pre-screen with Recruitment Manager.
2. Interview with Product Owner — discussion around experience, technical background, and project fit.
3. “Vibe Coding” Session with Product Owner

Senior Low level database experience, C++ | Full-time |

About the Project

We are looking for a Senior Database Systems Engineer with deep expertise in low-level database architecture and internals.

This is not a typical backend development role. We are seeking an engineer who understands how databases work under the hood and has hands-on experience with core database components such as transaction processing, storage engines, query planning, indexing, and performance optimization.

Required Skills

• Strong commercial experience with C++
• Deep understanding of database internals
• Experience working with low-level database components, including:
  • Transaction Management (ACID, concurrency control, MVCC)
  • Storage Layer / Storage Engines
  • Query Planning and Query Optimization
  • Query Execution
  • Indexing Structures (B-Tree, LSM Tree, etc.)
  • Memory Management
  • Performance Optimization
• Strong debugging and troubleshooting skills
• Experience analyzing and improving database performance
• Understanding of distributed systems principles

Nice to Have

• Experience with:
  • PostgreSQL
  • MySQL
  • ClickHouse
  • RocksDB
  • LevelDB
  • DuckDB
  • ScyllaDB
  • CockroachDB
  • TiDB
• Database kernel development experience
• Experience building or modifying query execution engines
• Familiarity with database compilers and execution frameworks
• Contributions to open-source database projects

Responsibilities

• Design and develop low-level database components
• Improve storage and transaction processing mechanisms
• Optimize query planning and execution performance
• Work on indexing, concurrency control, and data access layers
• Investigate and resolve performance bottlenecks
• Contribute to architecture decisions for high-performance data systems