Data Engineer

Are you ready to use your data engineering skills to build and maintain a powerful data infrastructure that delivers real business impact?

As a Data Engineer, you will be responsible for building scalable data pipelines and datasets empowering data-driven decision-making that will promote innovation and growth across NORDEN.

You will be directly involved in advancing our data strategy, in an environment where data is a strategic cornerstone to ensure value creation and competitive advantages.

You will be based in Copenhagen, Denmark.

What is in it for you
You will join the Data Engineering Team in Digital Solution and Services department, which has a welcoming and inclusive culture with data and IT-focused colleagues who collaborate closely. The department values personal development and teamwork and promotes a positive environment through an informal, innovative, and diverse approach.

So be ready to inspire others and be inspired by people from different backgrounds. On a day-to-day basis, you will be a key member of the Data Engineering team, working alongside five dedicated colleagues.

On a more practical note, you will as a Data Engineer, access large and diverse datasets generating features and insights that will be of high value to stakeholders when making critical business and trading decisions. Your role will be crucial in transforming data into a competitive advantage.

You will use a modern tech stack, including Python, Prefect, and Azure cloud solutions while gaining a deep understanding of today's shipping market dynamics.

The tasks that await you
To be more specific you will together with the rest of the team, be responsible for tasks such as:

• Building and maintaining data pipelines.

• Creating meaningful datasets through a combination of internal and external data.

• Generating decisive measures from datasets that will be used either directly in decision-making or as features for models.

• Working with non-technical stakeholders to derive and implement technical solutions to business challenges.

• Leading, organising and executing on data capture, validation, enrichment and support activities.

• Developing a systems-based approach to data engineering providing value within the larger organisation.

Your competencies and core qualifications
We are looking for a colleague who is curious and wants to expand their knowledge in a global fast-paced trading environment. To thrive in this position, you should be able to tick off the following:

• You hold a master's degree in business administration and information technology, mathematical modeling, statistics, computer science, software engineering, or similar areas.

• You already hold programming skills – could be in Python and SQL.

• You have great English skills.

• You are eligible to work in Denmark.

Further, you have to some extent participated in decision-making regarding technical solutions such as technology choice or overall structuring of data.

Application
Please upload your application, resume and relevant diplomas via our website as soon as possible and no later than 2 October 2024. We review applications and interview candidates on an ongoing basis.

NORDEN values diversity in thought, educational background, and professional competencies and therefore encourages all qualified candidates to apply for the position.

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Our company
NORDEN is a global provider of ocean-based freight services for bulk and project cargo of all sizes. We integrate freight solutions with port logistics, helping our customers to optimise and decarbonise supply chains. We provide tailored solutions based on flexibility, reliability and intelligence. Our agile business model ensures stability by continuously adapting our fleet to market developments and customer needs.

Founded in 1871, NORDEN is one of Denmark’s oldest internationally operating shipping companies. Incorporated in Denmark, we are listed on Nasdaq Copenhagen as a part of the OMX Nordic Large Cap index.

With 15 offices across 6 continents, NORDEN is a truly integrated part of global trade.