Jobs Data Engineer

Main Responsibilities:

Data Engineer is responsible for helping select, deploy, and manage the systems and infrastructure required of a data processing pipeline to support customer requirements.

You will work on cutting-edge cloud technologies, including Microsoft Fabric, Azure Synapse Analytics, Apache Spark, Data Lake, Data Bricks, Data Factory, Cosmos DB, HD Insights, Stream Analytics, Event Grid in the implementation projects for corporate clients all over EU, CIS, United Kingdom, Middle East.

Our ideal candidate is a professional passionated with technologies, a curious and self-motivated person.

Responsibilities revolve around DevOps and include implementing ETL pipelines, monitoring/maintaining data pipeline performance, model optimization

Mandatory Requirements:

– 3+ years of experience, ideally within a Data Engineer role.

– understanding of data modeling, data warehousing concepts, and ETL processes

– 2+ years of experience with Azure Cloud technologies

– experience in distributed computing principles and familiarity with key architectures, broad experience across a set of data stores (Azure Data Lake Store, Azure Synapse Analytics, Apache Spark, Azure Data Factory)

– Understanding of landing, staging area, data cleansing, data profiling, data security and data architecture concepts (DWH, Data Lake, Delta Lake/Lakehouse, Datamart)

– SQL-skills

– communication and interpersonal skills

– English —В2

Will be beneficial if a candidate has experience in SQL migration from on-premises to cloud, data modernization and migration, advanced analytics projects, and/or professional certification in data&analytics.

We offer:

– professional growth and international certification

– free of charge technical and business trainings and the best bootcamps (worldwide, including HQ Microsoft- Redmond courses)

– innovative data & analytics projects, practical experience with cutting-edge Azure data&analytics technologies at various customers’ projects

– great compensation and individual bonus remuneration

– medical insurance

– long-term employment

– ondividual development plan

We are seeking a highly skilled Snowflake Data Engineer with 7 years of IT experience to design, build, and optimize scalable data pipelines and cloud-based solutions across AWS, Azure, and GCP. The ideal candidate will have strong expertise in Snowflake, ETL Tools like DBT, Python, visualization tools like Tableau and modern CI/CD practices, with a deep understanding of data governance, security, and role-based access control (RBAC). Knowledge of data modeling methodologies (OLTP, OLAP, Data Vault 2.0), data quality frameworks, Stream lit application development and SAP integration and infrastructure-as-code with Terraform is essential. Experience working with different file formats such as JSON, Parquet, CSV, and XML is highly valued.

Responsibilities

Design and develop data pipelines using Snowflake and Snow pipe for real-time and batch ingestion.

Implement CI/CD pipelines in Azure DevOps for seamless deployment of data solutions.

Automate DBT jobs to streamline transformations and ensure reliable data workflows.

Apply data modeling techniques including OLTP, OLAP, and Data Vault 2.0 methodologies to design scalable architectures.

Document data models, processes, and workflows clearly for future reference and knowledge sharing.

Build data tests, unit tests, and mock data frameworks to validate and maintain reliability of data solutions.

Develop Streamlit applications integrated with Snowflake to deliver interactive dashboards and self-service analytics.

Integrate SAP data sources into Snowflake pipelines for enterprise reporting and analytics.

Leverage SQL expertise for complex queries, transformations, and performance optimization.

Integrate cloud services across AWS, Azure, and GCP to support multi-cloud data strategies.

Develop Python scripts for ETL/ELT processes, automation, and data quality checks.

Implement infrastructure-as-code solutions using Terraform for scalable and automated cloud deployments.

Manage RBAC and enforce data governance policies to ensure compliance and secure data access.

Collaborate with cross-functional teams including business analysts, and business stakeholders to deliver reliable data solutions.

Skills

Must have

Strong proficiency in Snowflake (Snowpipe, RBAC, performance tuning).

Hands-on experience with Python , SQL , Jinja , JavaScript for data engineering tasks.

CI/CD expertise using Azure DevOps (build, release, version control).

Experience automating DBT jobs for data transformations.

Experience building Streamlit applications with Snowflake integration.

Cloud services knowledge across AWS (S3, Lambda, Glue), Azure (Data Factory, Synapse), and GCP (BigQuery, Pub/Sub).

Nice to have

Cloud certifications is a plus

Project Description:

We are seeking a highly skilled Snowflake Data Engineer with 7 years of IT experience to design, build, and optimize scalable data pipelines and cloud-based solutions across AWS, Azure, and GCP. The ideal candidate will have strong expertise in Snowflake, ETL Tools like DBT, Python, visualization tools like Tableau and modern CI/CD practices, with a deep understanding of data governance, security, and role-based access control (RBAC). Knowledge of data modeling methodologies (OLTP, OLAP, Data Vault 2.0), data quality frameworks, Stream lit application development and SAP integration and infrastructure-as-code with Terraform is essential. Experience working with different file formats such as JSON, Parquet, CSV, and XML is highly valued.

Responsibilities:

• Design and develop data pipelines using Snowflake and Snow pipe for real-time and batch ingestion.
• Implement CI/CD pipelines in Azure DevOps for seamless deployment of data solutions.
• Automate DBT jobs to streamline transformations and ensure reliable data workflows.
• Apply data modeling techniques including OLTP, OLAP, and Data Vault 2.0 methodologies to design scalable architectures.
• Document data models, processes, and workflows clearly for future reference and knowledge sharing.
• Build data tests, unit tests, and mock data frameworks to validate and maintain reliability of data solutions.
• Develop Streamlit applications integrated with Snowflake to deliver interactive dashboards and self-service analytics.
• Integrate SAP data sources into Snowflake pipelines for enterprise reporting and analytics.
• Leverage SQL expertise for complex queries, transformations, and performance optimization.
• Integrate cloud services across AWS, Azure, and GCP to support multi-cloud data strategies.
• Develop Python scripts for ETL/ELT processes, automation, and data quality checks.
• Implement infrastructure-as-code solutions using Terraform for scalable and automated cloud deployments.
• Manage RBAC and enforce data governance policies to ensure compliance and secure data access.
• Collaborate with cross-functional teams including business analysts, and business stakeholders to deliver reliable data solutions.

Mandatory Skills Description:

• Strong proficiency in Snowflake (Snowpipe, RBAC, performance tuning).
• Hands-on experience with Python , SQL , Jinja , JavaScript for data engineering tasks.
• CI/CD expertise using Azure DevOps (build, release, version control).
• Experience automating DBT jobs for data transformations.
• Experience building Streamlit applications with Snowflake integration.
• Cloud services knowledge across AWS (S3, Lambda, Glue), Azure (Data Factory, Synapse), and GCP (BigQuery, Pub/Sub).

Nice-to-Have Skills Description:

- Cloud certifications is a plus

Languages:

English: B2 Upper Intermediate

We are seeking a Senior Database Engineer for a short-term, part-time project to refine our data infrastructure. You will architect a scalable analytics foundation and optimize transactional performance for a platform trusted by 300+ industry leaders. This role offers full technical ownership and a skip-the-bureaucracy environment, allowing you to implement your own expert recommendations. It is a perfect high-impact contract for those who value professional autonomy and a flexible schedule

A new team member will be in charge of:

• Designing and standing up a reporting/analytics data warehouse (preferably on Azure) to support business intelligence and analytical workloads.
• Defining dimensional and/or analytical schemas that enable reliable reporting and scalable querying.
• Building and maintaining data pipelines to move and transform data from source systems into the warehouse (e.g., using Azure Data Factory / Synapse or similar).
• Auditing and improving indexing strategy for Azure SQL / SQL Server to ensure consistent performance at scale.
• Optimizing queries through execution plan analysis, refactoring, and targeted tuning.
• Designing and implementing caching strategies where appropriate to reduce load and improve response times.
• Applying partitioning and sharding approaches when needed to support growth and throughput.
• Improving schema design for performance, maintainability, and long-term evolution of the product.
• Designing and optimizing complex indexed views and other advanced SQL Server features.
• Collaborating with a technical team by clearly communicating findings, trade-offs, and implementation plans.

Does this relate to you?

• 5+ years of commercial experience in database engineering, data warehousing, or a similar role.
• Strong SQL Server / Azure SQL expertise, including performance tuning, schema design, and execution plan analysis.
• Hands-on experience with Azure data services such as Azure SQL, Azure Data Factory, Synapse, or equivalent tools.
• Proven experience designing and building data warehouses and analytics-ready data models.
• Ability to work independently end-to-end: assessing current state, making recommendations, and executing implementations.
• Strong communication skills with the ability to explain technical findings and recommendations to a technical audience.
• Experience with SaaS transactional databases at scale is a plus.
• Azure AI Search experience (implementing or designing search solutions) is strongly preferred.
• Familiarity with vector databases, especially for AI/ML workloads, is a plus.
• Supporting search and AI-driven use cases by contributing to Azure AI Search design/implementation (preferred) and exploring vector database approaches (a plus).

Department/Project Description

Project aims to integrate a data-driven Markdown Optimization module and enhance Promotions Forecasting within clients' Price Index Management (PIM) to maximize gross profit, sell-through, and capture rate while maintaining price image. It will automate pricing recommendations based on inventory, generate accurate demand forecasts, and improve markdown/promotional strategies through user-friendly workflows.
GlobalLogic will develop the backend, data science, and UI/UX for this standalone application.

Job Responsibilities

• Build and maintain data pipelines adhering to the suggested enterprise architecture principles and guidelines
• Collect and manage data, converting it into useful information
• Work on the optimisation of partitioning and clustering for selected tables
• Implementation of data retention policies and removal of unused/dormand tables
• Work on the various optimisations
• Design, build, test, and maintain data management systems
• Work in sync with internal and external team members like data architects, data scientists, data analysts to handle all sorts of technical issue
• Deliver quality deliverables on time
• Translate complex functional requirements into technical solutions.

Job Description

• 5+ years of experience in Data Engineering
• Creation and maintenance of optimum data pipeline architecture for the ingestion and processing of data
• Creation of necessary infrastructure for ETL jobs from a wide range of data sources
• Experience in Snowflake cost optimisation, query pruning, and performance tuning
• Experience in Data storage technologies
• Upper Intermediate level of English
• Experience with GCP
• Good experience developing ETL pipeline using DBT
• Good Communication skills
• Willing to learn new technologies, share your ideas and assist other team members as needed
• Strong analytical and problem-solving skills; ability to define problems, collect data, establish facts, and draw conclusions

Engagement Terms: Full-time (~40 hrs/week) | 6-month initial contract (extension possible) 
Timezone Requirement: Strict overlap with U.S. working hours (EST–PST)
Availability: Immediate start or short notice / bench availability required
Schedule Constraint: Full-time only; no part-time or non-overlapping schedules

Role Summary

We are seeking a Senior Data Engineer to join a high-growth SaaS environment focused on building scalable data infrastructure and enabling ML/analytics workflows. The role is centered on designing and maintaining robust data platforms, supporting real-time and batch processing systems, and enabling data science and machine learning initiatives.

Technical Requirements (Recent 2–3 Years Hands-On Experience)

• Data Engineering: Apache Kafka (streaming), Apache Airflow (orchestration), advanced SQL, NoSQL databases
• Cloud & APIs: Strong AWS experience (preferred), API development experience
• Infrastructure: Docker, Kubernetes, Terraform / CloudFormation (IaC)
• CI/CD: Experience building and maintaining deployment pipelines
• Observability & Governance: Monitoring, logging, data quality, and governance frameworks

• Nice to have: ML pipelines, AWS SageMaker, OpenAI or LLM-based integrations

   

Key Responsibilities

• Design and implement scalable batch and streaming data pipelines
• Build and evolve data platform infrastructure supporting analytics and ML use cases
• Develop event-driven architectures using Kafka and secure API systems
• Collaborate closely with Data Science and ML teams to enable production-ready workflows

• Ensure data reliability, observability, governance, and system performance across platforms

   

Candidate Profile

• Proven expertise in Kafka, Airflow, and AWS-based architectures
• Experience building production-grade data platforms at scale
• Strong understanding of distributed systems and event-driven design
• Ability to work in fast-paced, product-driven environments

Description

As the Data Architect, you will be the senior technical visionary for the Data Platform. You will be responsible for the high-level design of the entire solution, ensuring it is scalable, secure, and aligned with the company’s long-term strategic goals. Your decisions will form the technical foundation upon which the entire platform is built, from initial batch processing to future real-time streaming capabilities.

Requirements

– Cloud Architecture: Extensive experience designing and implementing large-scale data platforms on Microsoft Azure.
– Expert Technical Knowledge: Deep, expert-level understanding of the Azure data stack, including ADF, Databricks, ADLS, Synapse, and Purview.
– Data Concepts: Mastery of data warehousing, data modeling (star schemas), data lakes, and both batch and streaming architectural patterns.
– Strategic Thinking: Ability to align technical solutions with long-term business strategy.

Nice-to-Have Skills:

– Hands-on Coding Ability: Proficiency in Python/PySpark, allowing for the creation of architectural proofs-of-concept.
– DevOps & IaC Acumen: Deep understanding of CI/CD for data platforms and experience with Infrastructure as Code (Bicep/Terraform)/Experience with AzureDevOps for BigData services
– Azure Cost Management: Experience with FinOps and optimizing the cost of Azure data services.

Job responsibilities

– End-to-End Architecture Design: Design and document the complete, end-to-end data architecture, encompassing data ingestion, processing, storage, and analytics serving layers.
– Technology Selection & Strategy: Make strategic decisions on the use of Azure services (ADF, Databricks, Synapse, Event Hubs) to meet both immediate MVP needs and future scalability requirements.
– Define Standards & Best Practices: Establish data modeling standards, development best practices, and governance policies for the engineering team to follow.
– Technical Leadership: Provide expert technical guidance and mentorship to the data engineers and BI developers, helping them solve the most complex technical challenges.
– Stakeholder Communication: Clearly articulate the architectural vision, benefits, and trade-offs to technical teams, project managers, and senior business leaders.

What we offer

Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. 

Learning and development. We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally.

Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what’s possible and bring new solutions to market. In the process, you’ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today.

Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way!

High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you’re placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do.

Description

As the Data Architect, you will be the senior technical visionary for the Data Platform. You will be responsible for the high-level design of the entire solution, ensuring it is scalable, secure, and aligned with the company’s long-term strategic goals. Your decisions will form the technical foundation upon which the entire platform is built, from initial batch processing to future real-time streaming capabilities.

Requirements

– Cloud Architecture: Extensive experience designing and implementing large-scale data platforms on Microsoft Azure.
– Expert Technical Knowledge: Deep, expert-level understanding of the Azure data stack, including ADF, Databricks, ADLS, Synapse, and Purview.
– Data Concepts: Mastery of data warehousing, data modeling (star schemas), data lakes, and both batch and streaming architectural patterns.
– Strategic Thinking: Ability to align technical solutions with long-term business strategy.

Nice-to-Have Skills:

– Hands-on Coding Ability: Proficiency in Python/PySpark, allowing for the creation of architectural proofs-of-concept.
– DevOps & IaC Acumen: Deep understanding of CI/CD for data platforms and experience with Infrastructure as Code (Bicep/Terraform)/Experience with AzureDevOps for BigData services
– Azure Cost Management: Experience with FinOps and optimizing the cost of Azure data services.

Job responsibilities

– End-to-End Architecture Design: Design and document the complete, end-to-end data architecture, encompassing data ingestion, processing, storage, and analytics serving layers.
– Technology Selection & Strategy: Make strategic decisions on the use of Azure services (ADF, Databricks, Synapse, Event Hubs) to meet both immediate MVP needs and future scalability requirements.
– Define Standards & Best Practices: Establish data modeling standards, development best practices, and governance policies for the engineering team to follow.
– Technical Leadership: Provide expert technical guidance and mentorship to the data engineers and BI developers, helping them solve the most complex technical challenges.
– Stakeholder Communication: Clearly articulate the architectural vision, benefits, and trade-offs to technical teams, project managers, and senior business leaders.

What we offer

Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. 

Learning and development. We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally.

Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what’s possible and bring new solutions to market. In the process, you’ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today.

Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way!

High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you’re placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do.

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:

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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

The company helps hotel chains like Hilton and Marriott transform front-desk staff into revenue generators through upselling training and analytics. Their IN-Gauge SaaS platform empowers frontline teams across 2,000+ properties in over 100 countries.

- Implement scaling of the case detection process (scanner)
- Split API into multiple API services
- Emulate pubsub/cloud run locally
- Implement scaling of the case detection process (scanner)
- Split API into multiple API services
- Emulate pubsub/cloud run locally
- Extract & process data using PySpark + S3 (Kafka/Kinesis — bonus)
- Write & optimize SQL on PostgreSQL/Redshift; use DynamoDB as data source/sink
- Run and debug ETL jobs on Glue or EMR; monitor via console/Spark UI

Must-have skills:
- Data engineering - 5 years, 
- AWS - 3 years (1 year latest project), 
- Spark/PySpark - 2 years (1 year latest project)
- English B2+

Looking for a Data Engineer to join the Dataforest team. If you are looking for a friendly team, a healthy working environment, and a flexible schedule ‒ you have found the right place to send your CV.

Skills requirements:
• 2+ years of experience with Python;
• 2+ years of experience as a Data Engineer;
• Experience with Pandas;
• Experience with SQL DB / NoSQL (Redis, Mongo, Elasticsearch) / BigQuery;
• Familiarity with Amazon Web Services;
• Knowledge of data algorithms and data structures is a MUST;
• Working with high volume tables 10m+.

Optional skills (as a plus):
• Experience with Spark (pyspark);
• Experience with Airflow;
• Experience with Kafka;
• Experience in statistics;
• Knowledge of DS and Machine learning algorithms..

Key responsibilities:
• Create ETL pipelines and data management solutions (API, Integration logic);
• Different data processing algorithms;
• Involvement in creation of forecasting, recommendation, and classification models.

We offer:

• Great networking opportunities with international clients, challenging tasks;

• Building interesting projects from scratch using new technologies;

• Personal and professional development opportunities;

• Competitive salary fixed in USD;

• Paid vacation and sick leaves;

• Flexible work schedule;

• Friendly working environment with minimal hierarchy;

• Team building activities, corporate events.

About Traffic Label
Traffic Label is a performance marketing and technology company with nearly two decades of experience driving engagement and conversion across the iGaming and digital entertainment sectors.
We’re now building a Customer Data Platform (CDP) on Snowflake and AWS - unifying player data across multiple brands to power automation, insights, and personalization.

The Role
We’re looking for a Data Engineering Lead to own the technical delivery and development of this platform. You’ll architect scalable pipelines, lead a small team, and ensure data reliability, accuracy, and performance.
Team size: 3–4 engineers/analysts

Key Responsibilities

• Design and implement scalable data pipelines processing millions of events daily
• Own Snowflake data warehouse architecture, optimization, and cost control
• Lead the engineering team through delivery and performance improvements
• Ensure >95% data accuracy and 99.9% pipeline uptime
• Collaborate with marketing, analytics, and compliance teams to align data with business goals

Requirements

• 5+ years in data engineering, 2+ in leadership roles
• Expert in SQL, and Python
• Proficient with AWS (S3, Lambda, IAM) and orchestration tools (Airflow, dbt, etc.)
• Strong understanding of data governance, cost optimization, and performance tuning
• Experience with iGaming data, Kafka/Kinesis, or MLflow is a plus

Why Join Us

• Build a core data platform from the ground up
• Competitive salary and performance bonuses
• Flexible remote or hybrid work across Europe
• Supportive, innovative, data-driven culture

Ready to lead a data platform that powers smarter decisions across global iGaming brands?
Apply now to join Traffic Label’s Data & Technology team.

We are developing a new tool to evaluate the effectiveness of retailer (e.g. large groceries chains) promotions. This solution will enhance promotion effectiveness forecasting, support choosing right way of introducing it (time, volume, type of discounts etc.) based on engeneering of historical data and introducing forecasting models.

The tool incorporates modern solution stack requirements, which will improve user experience, back-end robustness, and data processing efficiency. We anticipate these enhancements will meet stakeholder needs and contribute to business goals.

Job Description

• Expert in Tableau or Power BI with ability to build complex, interactive visualizations from scratch quickly and 6+ years of experience in the field
• Proven ability to compare and contrast BI tools (specifically the trade-offs between Tableau’s visual flexibility and Looker’s governed modeling).
• Expert-level SQL for data manipulation and performance tuning within cloud warehouses (Snowflake, BigQuery, or Databricks).
• Cross-Platform Literacy: Proven ability to compare and contrast BI tools (specifically the trade-offs between Tableau’s visual flexibility and Looker’s governed modeling).
• English proficiency 
• Good to have: Experience with open table format LakeHouse architectures (Delta Lake, Apache Iceberg, DuckLake)

As a Senior BI specialist, your main responsibilities will be:

• Maintaining the Business Intelligence repository and catalog. Working closely with data architects, data analysts, and a variety of end-users to ensure technical compatibility and user satisfaction.
• Data Ingestion & Cleaning: Analyze and process raw log files (CSV/Excel), handling data inconsistencies and structuring it for analysis.
• Dashboard Creation: Design and build interactive dashboards in Tableau or PowerBI to visualize key metrics.
• Work with the engineering team to define the long-term data requirements for the future platform.
• Conduct a comprehensive audit of current BI workflows to recommend a "future-state" platform (e.g., Looker, Sigma, or ThoughtSpot) based on scalability, cost, and user adoption.

We need someone with solid on-premises networking experience at CCNA/CCNP level who has made the move into Azure cloud networking and can operate confidently across both worlds in a hybrid enterprise environment.

What this role is about

This is a hands-on role at the heart of a modern cloud platform. You will design and operate secure, high-performance network infrastructure with a strong focus on Microsoft Azure, enterprise connectivity, and perimeter security. Your work directly enables product and development teams to move quickly — without cutting corners on stability or safety. It is a role that blends deep technical execution with real architectural influence.

What you will actually do

Design and support secure, scalable Azure network architectures across landing zones, subscriptions, and tenants

Enable hybrid and multi-cloud connectivity including peering and enterprise integration

Create a clear, consistent path for developers that balances security, usability, and delivery speed

Implement strong network segregation using VNets, NSGs, routing, and security appliances

Own and continuously improve perimeter and edge services — including Web Application Firewalls, DDoS protection, SSL VPNs, and load balancing including Global Server Load Balancing

Work across firewall and threat-prevention platforms from Microsoft, Palo Alto, Check Point, and Cisco

Support identity and access flows where they intersect with network design

Collaborate with managed service providers and professional services partners

Design with non-functional requirements front of mind — security, availability, scalability, and performance

What you bring — essential

Proven experience designing, implementing, and supporting cloud network technologies

Strong hands-on Azure networking experience

Solid background in hybrid and multi-cloud environments

Deep grounding in enterprise networking fundamentals — routing, switching, and security — at CCNA/CCNP level or equivalent

Experience working alongside managed service providers or delivery partners

Security-first mindset with practical experience across perimeter and network security services

Microsoft Certified: Azure Network Engineer Associate, or actively working toward it

Cisco CCNP or comparable enterprise networking certification, or in progress

ITIL Foundation or equivalent service management knowledge

Why this role stands out

You will not just keep the lights on — you will shape how enterprise-scale cloud networks are designed and evolved. It is a rare blend of deep hands-on technical work and genuine architectural responsibility, working alongside experienced platform, engineering, and security teams to build foundations that let the whole organisation move faster and with greater confidence.

We are looking for a Senior Data Engineer. This is not a standard ETL role. You will work on a high-load system processing 10,000+ executions per minute, building scalable pipelines where AI and LLM logic are embedded directly into production data flows.

The role combines data engineering, backend thinking, infrastructure ownership, and real production AI integration.

What you will do:

• Design and maintain scalable data pipelines in Python on Google Cloud Platform
• Build and optimize AI-driven scoring flows using LLMs for real-time identity enrichment
• Work with BigQuery, Apache Spark, and Apache Iceberg for heavy data processing
• Maintain high-load orchestration with custom Python nodes and complex workflows
• Own deployment and release processes (CI/CD)
• Optimize PostgreSQL performance under heavy load
• Investigate incidents and resolve root causes permanently

• Use AI engineering tools such as Claude in daily development

   

Requirements:

• 4+ years of experience in Data Engineering / Backend Engineering
• Strong Python skills
• Commercial experience with production LLM integration (OpenAI / Anthropic / Gemini)
• Strong knowledge of GCP (Cloud Functions, IAM, Networking)
• Experience with BigQuery, Spark, Iceberg
• Good understanding of Kubernetes
• Experience with workflow orchestration tools (n8n is a strong plus)
• Strong practical knowledge of PostgreSQL

• English level B2+

   

What is important for us:

• Ownership mindset
• Fast learning ability
• Strong problem-solving approach
• Active AI usage in engineering work
• Focus on practical results over unnecessary complexity