Senior Data Engineer (NAM Portugal)
Nordea Asset Management is hiring a Senior Data Engineer in Oeiras (Paço de Arcos), Portugal, to build and migrate critical data pipelines, semantic models, and internal tools onto a new Snowflake-based data platform for its Finance & Governance domain. Core stack: Snowflake, dbt, Python/dlt, Airflow, and Kubernetes.
- Compensation
- Not disclosed
- Location
- Not listed
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- 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 using Python for data engineering
- Extensive experience with SQL
- Experience in data modelling and architecture of analytical models
- Values good software practices such as everything-as-code, automated testing, and good CI/CD practices
- Believes in the 'you build it, you run it' approach to ownership
- Adept at learning swiftly, interested in exploring better ways of working
Nice to have
- 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
Full description
Job ID: 6704
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