Jobs Kharkiv, Data Engineer

Project overview

Our client is a leading global travel agency network specializing in luxury and experiential journeys. They are seeking to strengthen their relational database and Azure data platform through enhanced design, architecture, development, and the creation of new features.

Position overview

We seek a skilled Data Engineer with expertise in SQL development and Snowflake. This role focuses on building data ingestion pipelines, ensuring data integrity, and developing service layers that support external users.

Technology stack

Azure Cloud, SQL / T-SQL, Python, Snowflake, SQL Server

Responsibilities

• Analyze, plan, develop, deploy, and manage large, scalable, distributed data systems.
• Develop automated tests for unit, integration, regression, performance, and build verification.
• Understand and apply advanced principles of entity-relationship model design, proper data typing practices, index management, data management, and data security.
• Research and prototype new product and database features, design, and architecture ahead of mainstream development.
• Implement monitoring and logging solutions to ensure reliability and traceability of data flows.
• Ensure security, scalability, and performance of data services exposed to external users.
• Review designs, code, and test plans of other developers, providing recommendations for improvement or optimization.
• Develop and maintain microservices and stateless architectures.
• Follow defined software development lifecycle best practices.
• Collaborate with management and stakeholders to accurately identify requirements and establish priorities.

Requirements

• More than 8 years of experience designing and developing solutions with SQL, including 3 years specializing in Snowflake cloud data warehouses, along with extensive work on other relational and cloud-based databases.
• Intermediate-level knowledge of developing solutions using Python and REST APIs.
• Experience in developing relational and non-relational data platforms/data pipelines using Azure cloud solutions.
• Familiarity with ETL/ELT processes, data modeling, and data warehousing concepts.
• Proficiency with Git and CI/CD tools (e.g., Azure DevOps).
• Desire and ability to work as part of a team with minimal supervision in a results-oriented, fast-paced, dynamic environment.
• Time zone alignment until 5 PM UTC-3 (exclusive).
• Good spoken English.

Nice to have

• Database architecture and designing experience.
• Advanced Snowflake experience
• Advance level knowledge in automation test creation
• Experience working with foreign clients
• Understanding of Agile methodologies’ development
• Microsoft certificates
• Experience with the Travel domain
• Team player

Client

The client is a premier institution offering world-class postgraduate business education, including MBA, Executive MBA, and specialised finance and management programs. Its mission is to transform global business practices. The client is globally recognized for its rigorous academics, exceptional faculty, and cutting-edge research. It consistently ranks among the world’s top business schools, securing high positions in global MBA rankings. The client fosters leadership and innovation, equipping students for impactful careers in the international business landscape. Join a great company, not merely an individual project.
 

Project overview

The Client recently completed their Data & AI Strategy and Roadmap, establishing a foundation for a data-driven future. The assessment phase reviewed the current state of Data and AI, analyzing technology, processes, resources, and structure, and provided strategic recommendations aligned with the School’s 5-year transformation plan. Building on this, the discovery phase focused on data governance, use cases, business drivers, service offerings, technology, and roles, delivering further strategic insights. With this groundwork complete, The Client is now entering the delivery phase, which includes implementing a Data Platform, a first use case, and establishing Data Governance roles, processes, and technologies.

Responsibilities
 

• Design, build, and optimize complex ETL/ELT pipelines using Azure Data Factory, including mapping data flows and orchestration.
• Develop scalable data processing solutions using Azure Synapse Analytics (dedicated SQL pools, Spark pools) for enterprise-grade analytics.
• Implement and maintain Medallion architecture (Bronze/Silver/Gold) on Azure Data Lake Storage (ADLS Gen2) with proper data organization, security, and governance.
• Build large-scale data transformation workflows using Azure Databricks/Synapse Spark with PySpark/Python.
• Develop and integrate Azure Functions (Python/C#) to enable event-driven processing and custom pipeline logic.
• Implement CI/CD pipelines for data platforms using Azure DevOps Pipelines or GitHub Actions.
• Automate cross-environment deployments using IaC tools (ARM, Bicep, Terraform).
• Optimize SQL queries, database objects, and Spark jobs for performance and reliability.
• Design dimensional models (Star/Snowflake schemas) and develop production-grade data models.
• Collaborate with cross-functional teams to clarify requirements, communicate architecture decisions, and resolve data issues.
   

Requirements
 

• Proven expertise with core Azure data engineering services:
• Azure Data Factory
• Azure Synapse Analytics (SQL & Spark)
• Azure Data Lake Storage Gen2
• Azure Databricks / Synapse Spark
• Azure Functions
• Strong command of Python and PySpark for data processing and automation.
• Advanced SQL skills: complex queries, stored procedures, optimization, and performance tuning.
• Solid understanding of data modeling, including design of facts, dimensions, and analytical structures.
• Hands-on experience building and maintaining CI/CD pipelines (Azure DevOps or GitHub Actions).
• Practical experience with Infrastructure-as-Code for multi-environment deployment (ARM, Bicep, Terraform).
• Excellent Git knowledge: branching strategies, pull requests, code reviews.
• Strong problem-solving abilities for debugging pipelines, resolving deployment issues, and optimizing performance.
• Strong communication skills for effectively explaining technical solutions to technical and non-technical stakeholders.
   

Nice to have
 

• Experience with Microsoft Fabric ecosystem, including:
• OneLake & Lakehouse
• Fabric Data Engineering / Warehouse
• Notebooks & Spark jobs
• Power BI development experience:
• Building dashboards and reports
• Advanced DAX
• Optimized data modeling
• Row-Level Security (RLS) setup
• Microsoft certifications:
• DP-203: Azure Data Engineer Associate
• DP-600: Fabric Data Engineer Associate

Project overview

Our client is a leading global travel agency network specializing in luxury and experiential journeys. They are seeking to strengthen their relational database and Azure data platform through enhanced design, architecture, development, and the creation of new features.

Position overview

We seek a skilled Data Engineer with expertise in SQL development and Snowflake. This role focuses on building data ingestion pipelines, ensuring data integrity, and developing service layers that support external users.

Technology stack

Azure Cloud, SQL / T-SQL, Python, Snowflake, SQL Server

Responsibilities
 

• Analyze, plan, develop, deploy, and manage large, scalable, distributed data systems.
• Develop automated tests for unit, integration, regression, performance, and build verification.
• Understand and apply advanced principles of entity-relationship model design, proper data typing practices, index management, data management, and data security.
• Research and prototype new product and database features, design, and architecture ahead of mainstream development.
• Implement monitoring and logging solutions to ensure reliability and traceability of data flows.
• Ensure security, scalability, and performance of data services exposed to external users.
• Review designs, code, and test plans of other developers, providing recommendations for improvement or optimization.
• Develop and maintain microservices and stateless architectures.
• Follow defined software development lifecycle best practices.
• Collaborate with management and stakeholders to accurately identify requirements and establish priorities.
   

Requirements
 

• More than 8 years of experience designing and developing solutions with SQL, including 3 years specializing in Snowflake cloud data warehouses, along with extensive work on other relational and cloud-based databases.
• Intermediate-level knowledge of developing solutions using Python and REST APIs.
• Experience in developing relational and non-relational data platforms/data pipelines using Azure cloud solutions.
• Familiarity with ETL/ELT processes, data modeling, and data warehousing concepts.
• Proficiency with Git and CI/CD tools (e.g., Azure DevOps).
• Desire and ability to work as part of a team with minimal supervision in a results-oriented, fast-paced, dynamic environment.
• Time zone alignment until 5 PM UTC-3 (exclusive).
• Good spoken English.
   

Nice to have
 

• Database architecture and designing experience.
• Advanced Snowflake experience
• Advance level knowledge in automation test creation
• Experience working with foreign clients
• Understanding of Agile methodologies’ development
• Microsoft certificates
• Experience with the Travel domain
• Team player

Client

Our client is a leading financial services business operating a comprehensive data marketplace that supports the entire Client’s business.

Project overview

The Snowflake platform administration team underpins the data marketplace ecosystem, including Snowflake, Confluent, dbt Labs, and Astronomer. The team is expanding to include new skills in Terraform-based platform configuration automation to better support the platform's operational needs. The role focuses on platform administration and operational stability.

Position overview

We are seeking an experienced Snowflake Platform Engineer/Administrator to join the team. The successful candidate will primarily deliver platform configuration automation using Terraform within a CI/CD environment, onboard new consuming applications, troubleshoot user issues, and ensure overall stability of the Snowflake environment. This role requires strong expertise in managing Snowflake environments, platform integrations, and infrastructure-as-code automation with Terraform.

A $1,000 bonus will be provided after a successful trial period.

Technology stack

Snowflake platform and RBAC management
Terraform for infrastructure as code and change management within CI/CD pipelines
Azure cloud services, including Azure Functions, security integrations, Private Link, and authentication mechanisms
SaaS integrations with private link connectivity
Data ecosystem, including Confluent, dbt Labs, and Astronomer

Responsibilities
 

• Manage the full lifecycle of Snowflake environments from account setup through production deployment
• Administer Snowflake RBAC, storage integrations, and application integrations
• Deliver platform configuration automation using Terraform in a CI/CD environment, supporting multiple SaaS capabilities
• Onboard new consumer applications onto the platform and provide support and troubleshooting for platform issues
• Collaborate across teams to maintain platform stability and reliability
• Learn and apply new technologies and best practices to enhance team capability in automation and platform administration
   

Requirements
 

• Expert experience managing platform changes using Terraform within CI/CD pipelines
• Minimum 5 years of experience managing Snowflake environments, including implementation and production support
• Strong skills with Snowflake RBAC, storage, application integrations, and knowledge of Snowpark Container Services
• Minimum 3 years of strong Azure knowledge, including Azure Functions, security integrations, Private Link, and authentication mechanisms
• Experience integrating SaaS capabilities using a private link
• Ability to troubleshoot and resolve platform and integration issues effectively
• Strong communication skills and ability to collaborate across technical and business teams
   

Nice to have
 

• Experience working within complex, multi-technology ecosystems
• Ability to work autonomously and as part of a team to manage platform stability and support business needs
• Willingness to learn new automation technologies and contribute to team growth

Група компаній «Балекс» — це поєднання інноваційних технологій та багаторічного досвіду у виробництві й торгівлі на внутрішньому та зовнішньому ринках.

Ми в інстаграм: https://www.instagram.com/balex_team?igsh=MXI5Mnhjem45NWRxeA==

Запрошуємо у нашу команду Data Engineer / Інженер даних (Power BI, Excel, Python) - для збору, обробки та аналізу даних із різних джерел. Ви будете готувати структуровані звіти, дашборди та аналітичні матеріали для підтримки управлінських рішень у компанії.

Що потрібно робити:

• Збір та інтеграція даних з внутрішніх і зовнішніх джерел.
• Первинна і вторинна обробка даних для аналітики та звітів.
• Формування сегментованих баз даних та нестандартних звітів.
• Автоматизація рутинних процесів і підготовка похідних файлів для стратегічних досліджень.

Вимоги до кандидата:

• Досвід роботи з Excel, Power BI, Python (бажано SQL).
• Знання статистичних методів, аналізу великих даних.
• Аналітичне мислення, увага до деталей, відповідальність.
• Володіння англійською (середній рівень або вище).

Ми пропонуємо:

• Конкурентну заробітну плату.
• Офіційне працевлаштування, бронювання.
• Графік 5/2, 08:00–17:00, сучасний офіс.
• Можливості професійного та кар’єрного росту.
• Цікаві аналітичні проєкти та дружній колектив.

Якщо у вас є відповідні навички та досвід на подібній посаді, надсилайте резюме та приєднуйтесь до нашої команди!