Data engineer in cloud platforms

NTT DATA Europe & Latam; Barcelona; Hybrid; EUR 55,000 - 75,000; Full time

Benefits offered by this job

Remote Work Flex Allowance

Training & certifications

Job summary

NTT DATA Europe & Latam ищет инженера данных для разработки и оптимизации конвейеров загрузки и трансформации данных в облачных средах. Вы будете работать с Apache Spark на Databricks, проектировать NoSQL-схемы и настраивать конвейеры через Delta Lake, Airflow и Azure Data Factory.

Требуется опыт работы в мультикультурных командах, знание английского на уровне совместной работы в международной среде и ориентированность на качество решений.

Qualifications

• Не менее 4 лет опыта в Data Engineering, Big Data или разработке облачных конвейеров.
• Основной опыт с Apache Spark и Databricks.
• Знание проектирования схем, оптимизации и производительности в MongoDB/NoSQL.
• Опыт с Delta Lake, Apache Airflow и Azure Data Factory.
• Хорошие практики CI/CD, Git, DevOps, Agile.

Responsibilities

• Разработка, внедрение и оптимизация процессов загрузки, трансформации и оркестрации данных в облачных средах.
• Работа с Apache Spark на Databricks для обработки больших объемов данных.
• Проектирование и оптимизация схем NoSQL, MongoDB.
• Сборка конвейеров с Delta Lake, Airflow и Azure Data Factory, обеспечение трассируемости и качества.
• Внедрение CI/CD, работа в командах Agile/DevOps.

Skills

Apache Spark

Databricks

NoSQL MongoDB

Delta Lake

Airflow

Azure Data Factory

CI/CD

Git

Agile/DevOps

英语 коммуникация

Tools

MongoDB

Delta Lake

Apache Airflow

Azure Data Factory

Databricks

Job description

Описание:

There are data projects where the challenge is not just moving information from one place to another. It is designing pipelines that scale, models that perform well under load, robust ingestion and transformation processes, and platforms that turn data into decisions with real impact. At NTT DATA, we are looking for someone with experience in Data Engineering to participate in digital transformation projects combining distributed processing, cloud architectures, automation, DevOps, and work with multicultural teams.

Задачи:

Design, develop, and optimize data ingestion, transformation, and orchestration processes on cloud environments and modern data platforms. Work with Apache Spark on Databricks to process large volumes of information in a distributed manner. Design and optimize NoSQL schemas in MongoDB, focusing on performance, scalability, and maintainability. Build pipelines with Delta Lake, Apache Airflow, and Azure Data Factory, ensuring traceability, quality, and efficiency. Apply CI/CD, Git version control, and automation practices in data engineering projects. Collaborate with multidisciplinary teams in Agile and DevOps contexts, contributing technical judgment and problem-solving skills. Identify improvements in the performance, quality, and productivity of data solutions. Share best practices with the team and help raise the technical level of solutions.

Требования:

At least 4 years of experience in data engineering, big data, or cloud pipeline development. Solid experience with Apache Spark and Databricks. Knowledge of schema design, optimization, and performance in MongoDB / NoSQL. Experience with Delta Lake, Apache Airflow, and Azure Data Factory. Good practices in CI/CD, Git, DevOps, and Agile work. Ability to analyze complex problems, propose technical solutions, and work autonomously. A collaborative mindset for working in multicultural teams. A sufficient level of English to collaborate in international environments.

Условия:

Projects where data engineering is not a secondary layer, but a key part of digital transformation. Work with cloud platforms, distributed architectures, and technologies focused on building robust and scalable solutions.

Access to NTT DATA University, with technical and methodological training, language courses, soft skills training, and subsidized certifications in cloud providers such as AWS, Azure, or GCP, and other technologies. Diverse, approachable teams with a culture of shared learning. An environment where you can grow technically, take on real challenges, and participate in end-to-end solutions with an impact on large organizations. A culture that values every voice, collaboration, and innovation with purpose.

• We value each person's overall well-being, with benefits designed to improve work-life balance.
• Flexibility and work-life balance: a preferred hybrid and flexible remote-work model.
• Remote Work Flex Allowance: compensation for some of the extra expenses associated with remote work and certain in-office days.
• Funding for training and access to ongoing learning opportunities.
• Flexible compensation, childcare through flexible compensation, and a portal offering deals and benefits on insurance and banking products.
• Corporate health insurance, with coverage for you and some of your dependents.
• Life and accident insurance.
• Mental health programs and sports activities.
• Social and charitable activities to build community and create a positive impact.

We believe that growth is not just about moving forward, but doing so in the right place. That is why we foster a culture where you can learn, share knowledge, and participate in projects combining technology, business, and innovation. Our pillars focus on belonging, development, and innovation, with a mindset of continuous learning and end-to-end technology solutions.