Jobs Data Engineer

We are seeking a Middle Data Engineer to join our AI-Native Delivery Pod. In this role, you will move beyond traditional ETL development to become an "Architect of Data Flows," leveraging AI agents to design, build, and test complex data pipelines.

Your focus will be on data-intensive, No-UI projects where the primary value lies in the integrity, speed, and structure of the data. You will use Claude Code, Cursor, and agentic workflows to automate routine SQL and Python development, allowing you to concentrate on logic validation, data quality assurance, and performance optimization within cloud environments. As part of an AI-Native pod, you will operate at a velocity significantly higher than traditional teams by treating AI as your primary executor.

Required Qualifications

• Degree: Bachelor’s degree in Computer Science, Applied Mathematics, Data Engineering, or a related technical field.
• Professional Experience: 3+ years of experience in Data Engineering, specifically building and maintaining production-grade data pipelines.
• Tech Stack Mastery: Strong proficiency in Python (Pandas, PySpark, Boto3) and advanced SQL (window functions, optimization, procedural SQL).
• Data Tooling: Hands-on experience with orchestration tools (e.g., Airflow, Prefect, or Dagster) and data transformation frameworks like dbt.
• Cloud Ecosystem: Practical experience with cloud data warehouses and services, specifically within the Azure ecosystem (Azure Data Factory, Synapse, Databricks, or ADLS).
• AI-Native Proficiency: Proven experience using Generative AI tools (Claude Code, GitHub Copilot) to accelerate coding, migrations, and documentation.
• Data Quality & Testing: Solid understanding of data testing principles and experience implementing automated Data Quality Gates.
• Methodology: Familiarity with Spec-Driven Development, where code is generated based on formalized requirements and pre-defined test cases.

Preferred Qualifications

• Agentic Workflows: Experience building or using agentic systems to automate data processing or metadata management.
• Big Data Frameworks: Experience with distributed processing at scale (e.g., Spark, Flink, or Kafka).
• DataOps: Experience with containerization (Docker, Kubernetes) and building CI/CD pipelines specifically for data workloads.
• Systematic Debugging: Ability to apply a structured approach to debugging non-linear errors in massive datasets.

Job Responsibilities

• Pipeline Orchestration: Design and implement scalable ETL/ELT processes, piloting AI agents to generate boilerplate code and optimize complex queries.
• Agentic Execution: Use Claude Code CLI to implement data transformations, automate schema migrations, and generate pipeline documentation.
• Deep Review: Conduct rigorous analysis of AI-generated code, focusing on data lineage, cost-efficiency of cloud resources, and security.
• Data Quality Assurance: Define and implement automated "Quality Gates" to ensure data integrity and correctness at every stage of the pipeline.
• Context Hygiene: Maintain the project’s operational memory (the CLAUDE.md file and /docs folder) to ensure AI agents remain effective and aligned with project goals.
• Skill Library Contribution: Help build and refine the pod’s "Skills" library for Claude Code, automating recurring data engineering patterns.
• Stakeholder Collaboration: Work closely with the AI Solution Architect to implement data models and with the AI Reliability Engineer to integrate data into the broader project ecosystem.

Department/Project Description

You will join a specialized AI-Native Delivery Pod focused on complex, high-stakes Data Engineering projects. Our mission is to build robust data infrastructures for enterprise clients using a Fixed Price model, delivering results with unprecedented speed through the synergy of human expertise and agentic execution. Projects typically involve building modern Data Warehouses (DWH), Analytics Lakes, and AI-ready data foundations within the Azure cloud. We operate in an environment of high autonomy where every engineer is an operator of cutting-edge AI technology.

Skill Category

AI/ML

Keyskills - Must Have

• Python
• claude
• Data Engineer

Do you know that your professional skills can ensure the liquidity of a cryptocurrency exchange?
We are looking for a Data Engineer with ETL/ELT for the Spanish office of the most famous Ukrainian company.

Working with big data, strong team, assistance with family relocation, TOP conditions.

Main Responsibilities

— Design, build, and maintain scalable and resilient data pipelines (batch and real-time)
— Develop and support data lake/data warehouse architectures
— Integrate internal and external data sources/APIs into unified data systems
— Ensure data quality, observability, and monitoring of pipelines
— Collaborate with backend and DevOps engineers on infrastructure and deployment
— Optimize query performance and data processing latency across systems
— Maintain documentation and contribute to internal data engineering standards
— Implement data access layers and provide well-structured data for downstream teams

Mandatory Requirements

— 3+ years of experience as a Data Engineer in high-load or data-driven environments
— Proficient in Python for data processing and automation (pandas, pyarrow, sqlalchemy, etc.)
— Advanced knowledge of SQL: query optimization, indexes, partitions, materialized views
— Hands-on experience with ETL/ELT orchestration tools (e.g., Airflow, Prefect)
— Experience with streaming technologies (e.g., Kafka, Flink, Spark Streaming)
— Solid background in data warehouse solutions: ClickHouse, BigQuery, Redshift, or Snowflake
— Familiarity with cloud platforms (AWS, GCP, or Azure) and infrastructure-as-code principles
— Experience with containerization and deployment tools (e.g., Docker, Kubernetes, CI/CD)
— Understanding of data modeling, data versioning, and schema evolution (e.g., dbt, Avro, Parquet)
— English — at least intermediate (for documentation & communication with tech teams)

We offer

Immerse yourself in Crypto & Web3:
— Master cutting-edge technologies and become an expert in the most innovative industry.
Work with the Fintech of the Future:
— Develop your skills in digital finance and shape the global market.
Take Your Professionalism to the Next Level:
— Gain unique experience and be part of global transformations.
Drive Innovations:
— Influence the industry and contribute to groundbreaking solutions.
Join a Strong Team:
— Collaborate with top experts worldwide and grow alongside the best.
Work-Life Balance & Well-being:
— Modern equipment.
— Comfortable working conditions, and an inspiring environment to help you thrive.
— 30 calendar days of paid leave.
— Additional days off for national holidays.

With us, you’ll dive into the world of unique blockchain technologies, reshape the crypto landscape, and become an innovator in your field. If you’re ready to take on challenges and join our dynamic team, apply now and start a new chapter in your career!
 

We're looking for a Senior Data Engineer who thrives at the intersection of cloud architecture and business-critical data pipelines. You'll design and own scalable data solutions across Microsoft Fabric and Azure, working with modern analytical patterns that power real decisions.
 

Professional Experience:

• 5+ years of hands-on experience in data engineering and architecture, with a focus on cloud-native ecosystems.
• Microsoft Fabric & Azure Expertise: Deep technical knowledge of Microsoft Fabric (OneLake, Lakehouse, Warehouse), Azure SQL Database, and SQL Managed Instances.
• Multi-Platform Proficiency: Practical experience with at least one additional major cloud data platform: Snowflake or Databricks.
• Advanced SQL Engineering: Expert-level mastery of SQL and SQL Stored Procedures for complex business logic, performance tuning, and database administration.
• Data Architecture: Proven track record implementing Medallion Architecture (Bronze, Silver, Gold) and Star Schemas for analytical reporting.
• Bi-Temporal Data Logic: Experience designing systems that handle bi-temporal data (tracking both valid time and transaction time) to maintain historical accuracy.
• ETL/ELT Pipeline Development: Expert in pulling data into Azure Landing Zones, including:
• Implementing robust watermarking and incremental loading patterns.
• Data deduplication, cleansing, and schema enforcement.
• Promoting data from landing to a refined Silver layer.
• BI Connectivity: Experience configuring and optimizing data sources for Excel, Power BI (including DirectLake), and Tableau.

Working Arrangement: European time zone, part-time or full-time, engaged via a contractor's agreement.

Description

The GlobalLogic technology team is focused on next-generation health capabilities that align with the client’s mission and vision to deliver Insight-Driven Care. This role operates within the Health Applications & Interoperability subgroup of our broader team, with a focus on patient engagement, care coordination, AI, healthcare analytics, and interoperability. These advanced technologies enhance our product portfolio with new services while improving clinical and patient

experiences.

Requirements

An AWS Data Engineer designs, develops, and maintains scalable data solutions using AWS cloud services.

Key Responsibilities:
    • Design, build, and manage ETL (Extract, Transform, Load) pipelines using AWS services (e.g., Glue, Lambda, EMR, Redshift, S3).
    • Develop and maintain data architecture (data lakes, warehouses, databases) on AWS.
    • Implement data quality and governance solutions.
    • Automate data workflows and monitor pipeline health.
    • Ensure data security and compliance with company policies.
Required Skills:
    • Proficiency with AWS cloud services, especially data-related offerings (S3, Glue, Redshift, Athena, EMR, Kinesis, Lambda).
    • Strong SQL and Python skills.
    • Experience with ETL tools and frameworks.
    • Familiarity with data modelling and warehousing concepts.
    • Knowledge of data security, access management, and best practices in AWS.
Preferred Qualifications:
    • AWS certifications (e.g., AWS Certified Data Analytics – Speciality, AWS Certified Solutions Architect).
    • Background in software engineering or data science.

• Hands-on experience with Oracle Database and log-based Change Data Capture (CDC) replication using AWS Database Migration Service (DMS) for near real-time data ingestion.

Job responsibilities

– Develops, documents, and configures systems specifications that conform to defined architecture standards, address business requirements, and processes in the cloud development & engineering.

– Involved in planning of system and development deployment, as well as responsible for meeting compliance and security standards.

– API development using AWS services in a scalable, microservices-based architecture

– Actively identifies system functionality or performance deficiencies, executes changes to existing systems, and tests functionality of the system to correct deficiencies and maintain more effective data handling, data integrity, conversion, input/output requirements, and storage.

– May document testing and maintenance of system updates, modifications, and configurations.

– May act as a liaison with key technology vendor technologists or other business functions.

– Function Specific: Strategically design technology solutions that meet the needs and goals of the company and its customers/users.

– Leverages platform process expertise to assess if existing standard platform functionality will solve a business problem or if a customisation solution would be required.

– Test the quality of a product and its ability to perform a task or solve a problem.

– Perform basic maintenance and performance optimisation procedures in each of the primary operating systems.

– Ability to document detailed technical system specifications based on business system requirements

– Ensures system implementation compliance with global & local regulatory and security standards (i.e. HIPAA, SOCII, ISO27001, etc.)

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.

Your future responsibilities:

• Collaborate with data and analytics experts to strive for greater functionality in our data systems
• Design, use and test the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS big data technologies (DevOps & Continuous Integration)
• Drive the advancement of data infrastructure by designing and implementing the underlying logic and structure for how data is set up, cleansed, and ultimately stored for organizational usage
• Assemble large, complex data sets that meet functional / non-functional business requirements
• Build data integration from various sources and technologies to the data lake infrastructure as part of an agile delivery team
• Monitor the capabilities and react on unplanned interruptions ensuring that environments are provided & loaded in time

Your skills and experience:

• Minimum 5 years experience in a dedicated data engineer role
• Experience working with large structured and unstructured data in various formats
• Knowledge or experience with streaming data frameworks and distributed data architectures (e.g. Spark Structured Streaming, Apache Beam or Apache Flink)
• Experience with cloud technologies (preferable AWS, Azure)
• Experience in Cloud services (Data Flow, Data Proc, BigQuery, Pub/Sub)
• Experience of practical operation of Big Data stack: Hadoop, HDFS, Hive, Presto, Kafka
• Experience of Python in the context of creating ETL data pipelines
• Experience with Data Lake / Data Warehouse solutions (AWS S3 // Minio)
• Experience with Apache Airflow
• Development skills in a Docker / Kubernetes environment
• Open and team-minded personality and communication skills
• Willingness to work in an agile 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 and English lessons. • 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:

Facebook, Instagram, LinkedIn

___________________________________________________________________________________________

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. 

Твої майбутні обов’язки:

• Співпраця з експертами з даних та аналітики, щоб досягти більшої функціональності наших систем даних
• Проектування, використання та тестування інфраструктури, необхідної для оптимального вилучення, перетворення та завантаження даних з широкого спектру джерел даних за допомогою технологій SQL та AWS для великих даних (DevOps та безперервна інтеграція)
• Сприяння розвитку інфраструктури даних шляхом проектування та впровадження базової логіки та структури для налаштування, очищення та, зрештою, зберігання даних для використання в організації
• Збирати великі, складні набори даних, що відповідають функціональним/нефункціональним бізнес-вимогам
• Створювати інтеграцію даних з різних джерел та технологій в інфраструктуру озера даних як частина гнучкої команди з постачання
• Моніторити можливості та реагувати на незаплановані перебої, забезпечуючи своєчасне надання та завантаження середовищ

Твій досвід та навички:

• Мінімум 5 років досвіду роботи на посаді спеціалізованого інженера з даних
• Досвід роботи з великими структурованими та неструктурованими даними в різних форматах
• Знання або досвід роботи з фреймворками потокових даних та розподіленими архітектурами даних (наприклад,
• Spark Structured Streaming, Apache Beam або Apache Flink)
• Досвід роботи з хмарними технологіями (бажано AWS, Azure)
• Досвід роботи з хмарними сервісами (Data Flow, Data Proc, BigQuery, Pub/Sub)
• Досвід практичної експлуатації стеку Big Data: Hadoop, HDFS, Hive, Presto, Kafka
• Досвід роботи з Python у контексті створення ETL-потоків даних
• Досвід роботи з рішеннями Data Lake / Data Warehouse (AWS S3 // Minio)
• Досвід роботи з Apache Airflow
• Навички розробки в середовищі Docker / Kubernetes
• Відкрита та командна особистість, комунікативні навички
• Готовність працювати в гнучкому середовищі

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

Бажаєш дізнатися більше? — Підписуйся на нас у соц.мережах:

Facebook, Instagram, LinkedIn 

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

We are the creators of a new fintech era!
Our mission is to change this world by making blockchain accessible to everyone in everyday life. WhiteBIT is a global team of over 1,200 professionals united by one mission — to shape the new world order in the Web3 era. Each of our employees is fully engaged in this transformative journey.
We work on our blockchain platform, providing maximum transparency and security for more than 8 million users worldwide. Our breakthrough solutions, incredible speed of adaptation to market challenges, and technological superiority are the strengths that take us beyond ordinary companies. Our official partners include the National Football Team of Ukraine, FC Barcelona, Lifecell, FACEIT and VISA.

The future of Web3 starts with you: join us as a Data Engineer!

Requirements

— 3+ years of experience as a Data Engineer in high-load or data-driven environments
— Proficient in Python for data processing and automation (pandas, pyarrow, sqlalchemy, etc.)
— Advanced knowledge of SQL: query optimization, indexes, partitions, materialized views
— Hands-on experience with ETL/ELT orchestration tools (e.g., Airflow, Prefect)
— Experience with streaming technologies (e.g., Kafka, Flink, Spark Streaming)
— Solid background in data warehouse solutions: ClickHouse, BigQuery, Redshift, or Snowflake
— Familiarity with cloud platforms (AWS, GCP, or Azure) and infrastructure-as-code principles
— Experience with containerization and deployment tools (e.g., Docker, Kubernetes, CI/CD)
— Understanding of data modeling, data versioning, and schema evolution (e.g., dbt, Avro, Parquet)
— English — at least intermediate (for documentation & communication with tech teams)

Responsibilities

— Design, build, and maintain scalable and resilient data pipelines (batch and real-time)
— Develop and support data lake/data warehouse architectures
— Integrate internal and external data sources/APIs into unified data systems
— Ensure data quality, observability, and monitoring of pipelines
— Collaborate with backend and DevOps engineers on infrastructure and deployment
— Optimize query performance and data processing latency across systems
— Maintain documentation and contribute to internal data engineering standards
— Implement data access layers and provide well-structured data for downstream teams

Work conditions

Immerse yourself in Crypto & Web3:
— Master cutting-edge technologies and become an expert in the most innovative industry.
Work with the Fintech of the Future:
— Develop your skills in digital finance and shape the global market.
Take Your Professionalism to the Next Level:
— Gain unique experience and be part of global transformations.
Drive Innovations:
— Influence the industry and contribute to groundbreaking solutions.
Join a Strong Team:
— Collaborate with top experts worldwide and grow alongside the best.
Work-Life Balance & Well-being:
— Modern equipment.
— Comfortable working conditions, and an inspiring environment to help you thrive.
— 22 business days of paid leave.
— Additional days off for national holidays.

About the Project

We are building a system that integrates multiple databases and external APIs, aggregates data from various sources, and constructs a real-time knowledge graph to track complex relationships between entities.

Key Requirement

‼️ Hands-on experience with graph databases (minimum 6 months) is mandatory.
We are specifically looking for candidates who have practical experience with graph data modeling and writing queries.

Tech Stack

Graph Databases, Neo4j, Python, FastAPI, SQL, NoSQL, Docker, Docker Compose.

Responsibilities

— Design, build, and maintain scalable data pipelines
— Develop and optimize graph-based data models (nodes, edges, properties)
— Build and maintain a real-time knowledge graph
— Integrate multiple data sources (APIs, SQL, NoSQL databases)
— Optimize graph queries and data processing performance
— Work with cloud infrastructure (AWS)
— Collaborate with backend and product teams to design data solutions
— Build proof-of-concept solutions involving graph technologies

Requirements

— 3+ years of experience as a Data Engineer / Backend Engineer (data-heavy projects)
— Hands-on experience with graph databases (Neo4j, ArangoDB, Amazon Neptune, etc.)
— Strong knowledge of SQL and NoSQL databases
— Experience building data pipelines and working with large datasets
— Good understanding of data modeling (especially graph structures)
— Experience with AWS or other cloud platforms
— Python proficiency
— English (from Upper-Inermediate)

Nice to Have

— Experience with knowledge graphs
— Experience with streaming or real-time data processing
— Background in Computer Science, Mathematics, or related field
— Experience with recommendation systems / analytics / fraud detection

Who will succeed in this role

Someone who enjoys working with complex data relationships, understands how to model real-world systems as graphs, and can bridge backend engineering with data engineering practices.

About Us:

We are building technology that makes sustainability and decarbonization core elements of modern business. Our software provides partners with advanced carbon management tools that simplify compliance, reduce emissions, and support success in a sustainable economy.

Our mission is to automate and scale carbon management processes, helping companies optimize operations, reduce emissions across products and supply chains, and contribute meaningfully to the fight against global climate change.

Position Overview:

We are seeking a highly skilled and versatile Senior Backend / Data Engineer to join our team in Berlin.

You bring strong expertise in data engineering, solid Python skills, and hands-on experience with AWS. You are comfortable designing and managing complex data processes and cloud infrastructures.

Responsibilities:

• Develop and maintain backend architecture and scalable data pipelines;
• Collaborate closely with product managers and engineers to build a world-class data platform;
• Shape core data capabilities and contribute to strategic technical decisions;
• Ensure reliability, performance, and scalability of data systems in production.

Requirements:

• 5+ years of experience working with large-scale data in production environments;
•  Strong proficiency in Python and TypeScript;
• Experience with web frameworks and familiarity with DevOps, MLOps, and/or DataOps practices;
• Hands-on experience with AWS, CloudFormation, and CDK for infrastructure management;
• Strong understanding of scalable databases and cloud-based data pipelines;
• Excellent communication and teamwork skills;
• Openness to learning, experimenting, and acknowledging knowledge gaps;
• Upper-Intermediate English or higher.

What We Offer:

• A key role in advancing impactful climate technology;
• Strong growth opportunities within a rapidly expanding company;
• A dynamic and supportive work environment that values innovation, initiative, and diversity.

We are looking for a Data Engineer to design, develop, and optimize our data infrastructure on Databricks. You will architect scalable pipelines using BigQuery, Google Cloud Storage, Apache Airflow, dbt, Dataflow, and Pub/Sub, ensuring high availability and performance across our ETL/ELT processes. You will leverage Great Expectations to enforce data quality standards. The role also involves building our Data Mart (Data mesh) environment and implementing CI/CD best practices. A successful candidate has extensive knowledge of cloud-native data solutions, strong proficiency with ETL/ELT frameworks (including dbt), and a passion for building robust, cost-effective pipelines.

Responsibilities:

• Data Architecture & Strategy - Define and implement the overall data architecture on GCP, including data warehousing in BigQuery/Databricks, data lake patterns in Google Cloud Storage, and Data Mart (Data Mach) solutions. Integrate Terraform for Infrastructure as Code to provision and manage cloud resources efficiently. Establish both batch and real-time data processing frameworks to ensure reliability, scalability, and cost efficiency.
• Pipeline Development & Orchestration - Design, build, and optimize ETL/ELT pipelines using Apache Airflow for workflow orchestration. Implement dbt (Data Build Tool) transformations to maintain version-controlled data models in BigQuery, ensuring consistency and reliability across the data pipeline. Use Google Dataflow (based on Apache Beam) and Pub/Sub for large-scale streaming/batch data processing and ingestion. Automate job scheduling and data transformations to deliver timely insights for analytics, machine learning, and reporting.
• Event-Driven & Microservices Architecture - Implement event-driven or asynchronous data workflows between microservices. Employ Docker and Kubernetes (K8s) for containerization and orchestration, enabling flexible and efficient microservices-based data workflows. Implement CI/CD pipelines for streamlined development, testing, and deployment of data engineering components.
• Data Quality, Governance & Security - Enforce data quality standards using Great Expectations or similar frameworks, defining and validating expectations for critical datasets. Define and uphold metadata management, data lineage, and auditing standards to ensure trustworthy datasets. Implement security best practices, including encryption at rest and in transit, Identity and Access Management (IAM), and compliance with GDPR or CCPA where applicable.
• Scientists & Analytics Enablement - Collaborate with Data Science, Analytics, and Product teams to ensure the data infrastructure supports advanced analytics, including machine learning initiatives. Maintain Data Mart (Data mesh) environments that cater to specific business domains, optimizing access and performance for key stakeholders.

Requirements:

1. Experience
- 3+ years of professional experience in data engineering, with at least 1 year
in mobile data
2. Technical Expertise with GCP Stack
- Proven track record building and maintaining BigQuery environments and
Google Cloud Storage based data lakes.
- Deep knowledge of Apache Airflow for scheduling/orchestration and ETL/ELT
design.
- Experience implementing dbt for data transformations, RabbitMQ for
event-driven workflows, and Pub/Sub + Dataflow for streaming/batch data
pipelines.
- Familiarity with designing and implementing Data Mart (Data Mach) solutions,
as well as using Terraform for IaC.
3. Programming & Containerization
- Strong coding capabilities in Python, Java, or Scala, plus scripting for
automation.
- Experience with Docker and Kubernetes (K8s) for containerizing data-related
services.
- Hands-on with CI/CD pipelines and DevOps tools (e.g., Terraform, Ansible,
Jenkins, GitLab CI) to manage infrastructure and deployments.
4. Data Quality & Governance
- Proficiency in Great Expectations (or similar) to define and enforce data quality standards.
- Expertise in designing systems for data lineage, metadata management, and
compliance (GDPR, CCPA).
- Strong understanding of OLTP (Online Transaction Processing) and OLAP
(Online Analytical Processing) systems.
5. Communication
- Excellent communication skills for both technical and non-technical
audiences.
- High level of organization, self-motivation, and problem-solving aptitude.

 

What we offer:

• Competitive compensation depending on experience and skills
• A friendly team of like-minded people
• Opportunities for learning and development
• Compensation for sick leaves
• 21 working days paid vacation + all Poland national holidays
• Corporate events and activities
• Private medical care
• Office work or remote working (based on your location)

Remote from Poland
Contract duration: April 20, 2026 – December 31, 2026
Experience: 4+ years

About the Role
We are looking for a Data Engineer with strong DevOps and infrastructure expertise to work on building and maintaining scalable data platforms and cloud environments. The role combines data engineering, cloud infrastructure management, and DevOps practices within the Azure ecosystem.

Requirements

Must have:

• Strong understanding of data modeling (data warehouses and transactional systems)
• Hands-on experience with Databricks, Delta Lake, Python, PowerShell, and MS SQL Server / T-SQL
• Experience with Terraform, ARM templates, YAML, and Azure cloud services (App Services, Application Gateway, Azure Firewall, Routing, API Management)
• Solid understanding of distributed systems, Windows Server administration, scaling, disaster recovery, and backup/restore processes
• Familiarity with identity and security protocols (OAuth2, OpenID Connect, Azure Entra ID)
• Experience working with SQL Server, Kusto Query Language, Gremlin Query Language, and Azure Artifacts
• Strong knowledge of Azure data stack: Azure Data Factory, Azure Data Lake, Cosmos DB
• Experience with DevOps practices including CI/CD, testing, monitoring, and optimization of data pipelines
• Proficiency with tools such as Azure DevOps, Git, Visual Studio
• Experience working with Windows and Azure environments
• Agile/Scrum experience

Nice to have:

• Experience with Power BI for data visualization
• Familiarity with SaaS solutions and Managed Identities
• Advanced PowerShell scripting (e.g., DSC)

Tech Stack:
Databricks, Data Lakes, Python, PowerShell, Terraform

Responsibilities

• Design and build data pipelines using Azure Data Factory and Databricks
• Develop and maintain data models for both transactional and analytical use cases
• Work with Azure-based infrastructure (IaaS and PaaS)
• Perform schema evolution and data migrations
• Optimize ETL processes and overall data workflows
• Automate and provision infrastructure using PowerShell, ARM templates, and Terraform
• Maintain and improve existing applications and DevOps infrastructure
• Troubleshoot cloud services and resolve technical issues
• Implement security practices and monitoring across cloud and DevOps environments
• Design and configure network infrastructure and reliability solutions
• Build and maintain CI/CD pipelines in Azure DevOps
• Participate in deployment processes and keep documentation up to date
• Ensure adherence to best practices in operations, backup, scaling, and disaster recovery

Location
Remote (candidates must be based in Poland)

We’re looking for a Senior Data Engineer to join a SaaS company working with large-scale web data and consumer insights for global brands.

Details: 
Format: Full-time, Remote

Duration: 6 months (with possible extension)

Start: ASAP 
English: Fluent 

Requirements:

- 5+ years of Data Engineering experience

- Strong PySpark, Python, SQL

- Hands-on experience with AWS

- Practical experience with Databricks (critical)

- Understanding of production-grade data pipelines and data quality

- Confident English for cross-team collaboration

Nice to have:

- MLflow / LLM exposure

- Big Data & Data Lake architectures

- CI/CD, DevOps experience

Data Engineer (ETL / Big Data / Streaming)

About Intela

Intela builds AI products and also operates as a B2B outstaffing partner. We help our clients hire strong engineers for long-term projects. This role is for one of our USA clients.

About the role

We are looking for a Data Engineer who can design and build data pipelines at scale. The focus is on large datasets or high-throughput data streams, data quality, and performance.

Responsibilities

— Design and build data pipelines (batch or streaming)

— Process large volumes of data (millions to billions of records)

— Handle data validation, deduplication, and consistency

— Ingest data from files, cloud storage, or streams

— Prepare data for analytics

— Make and explain architectural decisions

Requirements

— Strong Data Engineering experience

— Solid SQL and database knowledge

— Experience with ETL and large-scale data

— Experience with batch or streaming processing

— Good programming skills (Java or similar)

— Ability to design pipelines and explain choices

Nice to have

— Kafka, Redis, Elasticsearch

— Cloud platforms (AWS, GCP, Azure)

— Real-time data processing

AI

— Uses AI tools in development or willing to learn

— Can review and validate AI-generated code

If you have experience with data at scale, apply.

Маємо дві позиції. Одна США інша UK

Перша більше про репортінг

The project is a cloud-based analytics platform designed for commercial real estate. It provides tools for data analysis, portfolio management, financial insights, and lease tracking, helping owners, property managers, and brokers make informed, data-driven decisions.

Position Requirements
PowerBI skills:
• Able to understand the data sources and relevant data for analysis
• Design and refine data models, familiarity with a dimensional model
• Develop interactive reports and dashboards
• Knowledge of DAX

Azure and DB skills:
• Proficiency in ETL/ELT design, development and support
• Strong hands-on experience in Azure Data Factory
• Experience in Azure Functions
• Stored Procedures writing and optimization
• Telerik .NET Reporting experience (Nice to have)

Responsibilities
Continue improving existing data reporting tools. List of existing integrations (where data comes from):
- Procore
- DealPath
- Yardi
- MRI
- JDE
- VTS
- OneSite
- CoStar
- Argus
- Salesforce
- RealPage

Nice to have
Basic Python skills

Друга більше про дата моделінг

Requirements
Data Integration/ETL (Azure Data Factory, Databricks)
SQL Server (T-SQL, stored procedures)
Dimensional Data Modelling (Kimball/star schema)
Power BI (DAX, data visualisation) 

Metamindz is a fast-growing UK-based IT software company. We support global clients by providing fractional CTOs-as-a-service, building digital products, hiring exceptional technical talent, and conducting in-depth tech due diligence.

We’re currently looking for a Cloud Engineer (GCP / IoT) to join one of our startup clients in a part-time engagement. This is a full-time opportunity for a hands-on engineer who can take ownership of cloud data platforms and backend systems, working with high-volume IoT data and real-time analytics in production environments.

Responsibilities:

• Own and operate the cloud-based backend and data platform supporting large-scale IoT deployments
• Architect, build, and maintain high-volume data ingestion pipelines using GCP services (BigQuery, Dataflow, Pub/Sub)
• Design and manage streaming and batch data workflows for real-time and historical analytics
• Define data storage, querying, retention, and archiving strategies across warehouses and data lakes
• Ensure backend services, APIs, and data pipelines are secure, scalable, observable, and fault-tolerant
• Set up monitoring, logging, alerting, and recovery strategies for event-driven workloads
• Collaborate closely with the CTO, embedded engineers, and product teams to align device capabilities with cloud and data architecture
• Contribute to data platform evolution, including governance, access policies, and metadata management

Requirements:

• 3–5 years of commercial engineering experience in cloud, data, or backend roles
• Strong hands-on experience with GCP and its data ecosystem (BigQuery, Dataflow, Pub/Sub)
• Solid experience with relational databases (Postgres, MySQL), including schema design, migrations, indexing, and scaling strategies
• Proven experience building and maintaining data pipelines, particularly for IoT or time-series data
• Hands-on experience with Python (Node.js is a plus)
• Experience designing and consuming APIs in distributed or microservices-based systems
• Familiarity with CI/CD pipelines, environment management, and Infrastructure as Code (Terraform)
• Good understanding of cloud security, IAM, and best practices for production systems
• Ability to work independently in a startup environment and make pragmatic technical decisions

Nice to Have:

• Google Professional Data Engineer certification
• Experience with orchestration tools such as Airflow / Cloud Composer
• Exposure to applied ML or AI use cases (e.g. anomaly detection, forecasting on IoT data)
• Experience using managed ML services like GCP Vertex AI

What We Offer:

• Opportunity to work on a real-world, IoT-powered product with visible impact
• High ownership and influence over technical architecture and data strategy
• Collaborative startup environment with direct access to decision-makers
• Modern cloud stack and meaningful engineering challenges around scale and reliability
• Competitive compensation aligned with experience and responsibilities

How to Apply:

Please send a short blurb about yourself — and tell us your favorite ice cream flavor (mine is cherry 🍒)