Senior Data Engineer (NAM Portugal)

Nordea Bank Norge ASA; Oeiras; Híbrido; EUR 70 000 - 100 000; Tempo integral

Resumo da oferta

Nordea Asset Management (NAM) is expanding its Finance & Governance data engineering team in Oeiras. We are building a Snowflake-based data platform and migrating our data warehouse to a scalable NAM Data Platform. You will join an international, agile team delivering trusted metrics for financial reporting.

The Senior Data Engineer will own data pipelines, model design, and tooling, driving automation, testing, and CI/CD practices to accelerate delivery and quality.

Qualificações

• Hands-on experience with Snowflake and DBT for data pipelines.
• Proficient Python development and building data tools.
• Experience designing analytical data models and DW architectures.

Responsabilidades

• Develop the NAM Data Platform by integrating data sources and transformations.
• Build a semantic model to enable accurate reporting and analysis.
• Create internal tools to support migration to the NAM Data Platform.
• Contribute to migrating the data warehouse to the NAM Data Platform.
• Continuously improve the platform using modern tooling and patterns.

Conhecimentos

Snowflake

DBT

Python

Kubernetes

Apache Airflow

SQL

Data modelling

Ferramentas

Terraform

Docker

Descrição da oferta de emprego

Would you like to get in on the ground floor of building a new data platform? We are now looking for a Senior Data Engineer to accelerate our shift towards a Snowflake-based data platform.
Nordea Asset Management (NAM) is the centre of investment management in the Nordea Group and in the Asset & Wealth Management division. NAM is the largest asset manager in the Nordics with the vision of being a leading European Asset Manager. We want to do this by delivering returns with responsibility. We meet customer demands and guide our customers in the right direction in asset selection while ensuring prudent ESG practices. NAM has around 900 employees and more than 475 Nordic and international institutional clients.

About this opportunity

Welcome to our Finance & Governance value stream, where we create value by automating and implementing finance and governance processes, enabling data-driven business analytics, and delivering trusted metrics for financial reporting. As a Senior Data Engineer, you will play a key role in building and migrating critical data pipelines and tools that future-proof our Finance business domain. You will also help advance our ambition to become AI-driven, accelerating delivery and improving quality. You will be an integral part of our Post-Trade & Finance Engineering team.

What you’ll be doing

• Developing the NAM Data Platform by integrating new data sources and implementing transformations to meet evolving business requirements.
• Building a semantic model that enables effective business reporting and analysis.
• Developing internal tools to support NAM’s migration to the NAM Data Platform.
• Contributing to the migration of our data warehouse to the NAM Data Platform.
• Continuously improving the platform by adopting relevant technologies, tools, and engineering patterns as they emerge.

You’ll join a motivated, international, agile, cross-functional and end-to-end team.

The role is based in Quinta da Fonte (Oeiras).

Who you are

Collaboration. Ownership. Passion. Courage. These are the values that guide us in being at our best – and that we imagine you share with us.

To do well in this role, we believe that you:

• Value good software practices such as “Everything-as-code”, automated testing, good CI/CD practices, all in service of continuous delivery with high speed and quality
• Believe in the “you build it, you run it” approach to ownership
• Adept at learning swiftly, interested in exploring better ways of working

Your experience and background:

• Hands‑on experience with Snowflake
• Hands‑on experience with DBT
• Hands‑on experience with Python DLT
• Experience building and deploying containerised applications on Kubernetes
• Experience designing and building DAGs using Apache Airflow
• Extensive experience with SQL
• Experience in data modelling and architecture of analytical models

In addition it is preferable if you have experience in any of the following:

• Knowledge of SQL Server, SSIS and/or SSAS
• Knowledge of Power BI and tabular data models
• Interest in AI models and their practical applications
• Experience working with a data mesh strategy
• Experience working in end-to-end delivery teams
• Experience with infrastructure-as-code tools, such as Terraform

At Nordea, we know that an inclusive workplace is a sustainable workplace. We deeply believe that our diverse backgrounds, experiences, characteristics and traits make us better at supporting our customers and communities. So please come as you are.