Nordea

Snowflake Data Engineer

Стажёр · Гибрид · Варшава, Польша · Английский B2

Навыки

  • Airflow
  • Bitbucket
  • CI/CD
  • GitHub
  • HR-процессы
  • Jenkins
  • Обучаемость
Ещё 11
  • Ответственность за результат
  • 152-ФЗ / персональные данные
  • Оптимизация производительности
  • Python
  • Оптимизация запросов
  • SAFe / LeSS
  • Scala
  • Snowflake
  • SQL
  • SQL: оконные функции, CTE
  • Хранимые процедуры

О компании и продукте

  • FIØ and FIB internship programs
  • 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.
  • Nordea is a place where traditions meet tomorrow. We're not just a bank, we're a tech employer on a mission to evolve finance securely and responsibly. Together, we impact millions of people’s daily lives by ensuring they can access our solutions anytime, anywhere, while safeguarding their personal data and wealth. Join us in making an impact on the banking industry.
  • You'll join a Large Data Foundation team in a banking environment responsible for building and maintaining transformation layers on Snowflake — turning ingested raw data into clean, governed, analytics-ready datasets consumed for IRB risk Model development and Model use for risk parameters.

Задачи

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  • Language
  • English (United Kingdom)
  • English (United States)
  • View Profile
  • View all jobs
  • Our locations
  • Grow with us

Требования

  • 8+ years in data engineering with at least 2 years hands-on Snowflake in production
  • Strong SQL — window functions, QUALIFY, MERGE, recursive CTEs, FLATTEN/LATERAL for semi-structured data, performance tuning
  • Snowpark (Python or Scala) — building transformation logic, understanding when it's preferable to pure SQL
  • Understanding of Snowflake execution model: micro-partitions, clustering, pruning, query plan reading
  • Python or Scala for pipeline logic and tooling
  • Airflow — authoring DAGs, sensors, retriesGit, Bitbucket, CI/CD — comfortable owning deployments, not just writing code
  • Financial services or banking domain knowledge — you need to understand what the data means, not just move it
  • Credit risk, finance, or regulatory reporting background is expected

Будет плюсом

  • Snowflake Dynamic Tables — knows when to use them vs Tasks vs stored procedures
  • Streams and Tasks for incremental processing patterns
  • Snowpipe or Snowpipe Streaming
  • DataStage — for working alongside legacy pipelines
  • Streamlit in Snowflake
  • SAFe or scaled agile experience
  • Comfortable working across the full delivery lifecycle — analysis, development, testing, deployment
  • Chooses the simplest Snowflake feature that solves the problem — not the most impressive one
  • Reads the query profile before optimizing, doesn't guess
  • Treats auditability, lineage, and access controls as part of the design, not an afterthought
  • Working with AI
  • Actively uses AI coding tools as part of daily work — not occasionally
  • Understands how LLMs work well enough to use them effectively: knows what context to provide, how to scope a prompt, and when to trust the output versus when to push back
  • Keeps up with the AI tooling market — aware of what's available, what's improving, and what's relevant for data engineering work
  • Our stack
  • Snowflake, Snowpark (Python/Scala), Dynamic Tables, Airflow, DataStage (legacy interop), Streamlit in Snowflake, Bitbucket, Jenkins, IntelliJ/VS Code, GitHub Copilot, Gemini Plugin, Cortex and more

Условия

  • Collaboration
  • Ownership
  • These are the values that guide us in how we work and how we make decisions – and that we imagine you share with us
  • People are driven by many different factors
  • For some, it’s to take their career to the next level
  • For others, it’s to break new ground within their area of expertise – in other words, with us, you will always move forward
  • 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
  • We genuinely believe that our diverse backgrounds, experiences, characteristics and traits make us stronger together
  • Every day we strive to find new ways to improve diversity and inclusion within our community e.g. we have signed the European Diversity Charters in the countries where we operate to show our commitment and engage with others to continue learning and improving
  • If this sounds like you, get in touch!
  • The recruitment process consists of the following steps
  • Preliminary CV selection
  • Phone conversation with the recruiter
  • Online interview with the hiring leader
  • Background check
  • We enable dreams and aspirations for a greater good
  • We build relationships
  • We add a personal touch to everything we do – when advising our customers, collaborating with colleagues, and meeting our potential candidates
  • We learn and develop
  • We take pride in being experts and thinking ahead
  • We use our expertise to meet our customers’ needs, from the simplest to the most complex
  • We bring a growth mindset to our work that enables us to focus on a broader perspective in our daily challenges

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  • careerОсновная публикация · 2026-08-15

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Признаки мошенничества
  • Просят предоплату, «залог» или деньги за обучение и оборудование.
  • Требуют код из SMS, данные банковской карты или доступ к «Госуслугам».
  • Быстро уводят в мессенджер и торопят с решением.
  • Обещают большой доход без опыта и без деталей задач.

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