Data engineer for loan servicing

Nordea; Warszawa; Hybrid; PLN 180,000 - 260,000; Full time

Benefits offered by this job

Hybrid work model

Diversity and inclusion

Growth opportunities

Job summary

Nordea в Варшаве ищет старшего инженера по данным, который возьмет полную ответственность за проектирование и сборку решений данных от требований до продакшна.

Вы будете работать с бизнес-стейкхолдерами, создавать моделирование данных и pipelines, обеспечивая долговременную поддерживаемость и надёжность. Предпочтение кандидатам с опытом в современном складировании данных и использовании AI для повышения эффективности.

Qualifications

• Опыт разработки крупных data-решений и построения складов данных.
• Умение проектировать решения data warehouse с упором на простоту и сопровождение.
• Опыт работы с Oracle, PL/SQL, DataStage, владение CI/CD.
• Готовность владеть полным жизненным циклом проекта от требований до продакшна.
• Интерес к применению ИИ для повышения производительности и надёжности.

Responsibilities

• Работа с бизнес-стейкхолдерами для преобразования задач в data-решения.
• Владение доставкой от сбора требований до продакшна.
• Проектирование и построение моделей данных и конвейеров.
• Соблюдение стандартов надёжности, долгосрочной поддержки и устойчивости.
• Использование ИИ для повышения эффективности разработки и эксплуатации.
• Понимание домена бизнеса для устойчивых решений.
• Формирование прозрачнои архитектуры data warehousing и поддержка качества.

Skills

Data engineering

Data warehousing

CI/CD

Pipeline orchestration

Oracle

PL/SQL

DataStage

AI

Tools

Snowflake

dbt

Airflow

Job description

Описание: Welcome to Group Technology, where we pride ourselves on engineering solutions and direct Nordea’s transformation by providing a holistic technological view and structured understanding of the bank, and its surrounding environment to enable the Customer Vision and the Business Strategy. We are looking for senior data engineer who is passionate about taking full ownership of designing and building data solutions end-to-end, from understanding requirements to delivering production-ready systems that last.

Задачи

• Work with stakeholders in Business to turn their business problems into fit for purpose data solutions
• Take ownership of delivery from requirements to production
• Take ownership of designing and building data models and data pipelines
• Set a high standard for what you deliver, prioritizing long-term reliability, stability, and maintainability over quick fixes
• Stay current with AI assisted development and adopt AI to increase efficiency, maintainability, and reliability.
• You don’t wait for detailed specifications – you proactively understand the business domain and ask the right questions to clarify the requirements
• You take ownership of the full lifecycle – from design to implementation and testing – and stand by the solutions you deliver
• You understand what good looks like in data warehousing and build accordingly
• You care about long-term maintainability over short-term fixes
• You use AI as a tool to improve productivity, quality, and speed

Требования

• Strong experience in data engineering and data warehousing, building large-scale data solutions.
• You know what good looks like in modern data warehousing
• Ability to design data warehouse solutions, with a focus on simplicity and maintainability
• Hands-on experience with Oracle, PL/SQL, DataStage
• Comfortable taking full ownership from requirements to production
• Eager to understand the business domain so that you can turn their problems into robust and maintainable data solutions
• Solid experience with CI/CD, pipeline orchestration, and modern data engineering practices
• Будет плюсом: It would be ideal if you also have an experience with AI and how AI can support development and operations of large-scale data solutions; Interest in modern data platforms (e.g. Snowflake, dbt, Airflow)

Условия

• A culture that fosters performance and growth in one of the largest Nordic banks, offering various opportunities to evolve, develop and learn from brilliant colleagues with diverse backgrounds in a vibrant working environment.
• Hybrid working model – we believe in the value of bringing people together and at the same time we embrace the freedom of flexibility.
• Diversity and inclusion are a natural part of our daily work.
• We know that an inclusive workplace is a sustainable one.