Senior Data Engineer

Opportunity

Senior Data Engineer

Do you have a strong understanding of data processing, data integration, and modelling skills? Do you enjoy ensuring efficient handling and delivery of large datasets? Are you passionate about building robust, modern, and cloud data platforms, optimising data pipelines, and contributing to cutting-edge technologies? Would you like to work in an international environment, in a dynamic team where we are curious to learn from each other? Then you may be our new Senior Data Engineer colleague for our Technology team in the Svitzer headquarters in Copenhagen!

We are looking for a skilled Senior Data Engineer to help develop and maintain our data platform. As the ideal candidate, you'll ensure that our data pipelines are reliable, scalable, and efficient. You'll work closely with Data Scientists, Data Engineers, Software Engineers, and Business Analysts to develop and implement data-driven solutions that will help us improve our business operations and enhance user experiences.

We are located in Nordhavn, Copenhagen, have fun, are dedicated, move fast and believe that there needs to be space for a life outside of work. We enjoy knowledge sharing, challenging status quo, coming up with new ideas, and having freedom as an effect of taking responsibility. Marine and Towage business can be challenging, and we work together to improve, e.g., have high ambitions for decarbonisation. Our Svitzer Transverse Tug is a good example: https://www.youtube.com/watch?v=IPdhKsJu3fk (time to watch: 1 minute and 55 seconds).

Who we are

Svitzer is a leading Global Towage Operator, providing towage and sustainable marine solutions to make ports and terminals safer, more efficient and more climate friendly. We have customers in 30+ countries across four Regions: Australia, AMEA, Europe and America.

In recent years, we have grown through new contracts and acquisitions, and growing continues to be a focus. At the same time, we are implementing our new Strategy, which prioritises Decarbonization and Technology. However, our standard marine services remain critical to us.

We operate globally 24/7, which means that things rarely stand still. However, we are good at manoeuvring being busy, as we enjoy working as a team by listening to and helping each other. We also appreciate when colleagues voice their opinions.

Svitzer is part of the A.P. Moller-Maersk Group, and the way we do Business is governed by our values: Constant Care, Humbleness, Uprightness, Our Employees and Our Name.

We Offer

In Svitzer headquarters, we have a lean and flat structure where you will interact with Senior Stakeholders weekly. We enjoy leading with care and learning from each other. You will have significant independence to shape your role and contribute to the Commercial Team's success, thus helping Svitzer advance.

We offer a truly international environment with a professional, engaged, ambitious, yet relaxed atmosphere where we value diversity. As mentioned, we welcome flexibility, i.e., working from home as and when needed. Also, we welcome when colleagues proactively seek out opportunities for development by participating in cross-collaboration, a project or other opportunities that may arise.

We have a nice canteen, the usual coffee machine and fruit arrangements. In addition, we have a fitness centre, "in office" workouts and arranged workouts every Tuesday and Thursday. We have occasional social activities, the possibility of getting a massage and other nice perks. - Most notably, professional, fun, and caring colleagues.

The Role

As Senior Data Engineer in Svitzer, you will report to the Head of Data Platform. We are a larger team, cooperating with external consultants and the rest of the organisation. You will play a crucial role in the organisation's data platform, managing processes and optimising large data volumes to enable efficient analysis and decision-making.

Key Responsibilities

• Develop and maintain scalable and reliable data architectures and pipelines to support data integration, transformation, storage, and analysis as per business needs.
  
  
• Design, implement, and optimise data models, schemas, and database structures.
  
  
• Collaborate with cross-functional teams to understand data requirements and implement effective solutions.
  
  
• Monitor and troubleshoot performance issues in the data infrastructure to ensure reliable and timely data delivery.
  
  
• Ensure data quality and integrity throughout the data pipeline.
  
  
• Stay up-to-date with the latest technologies and trends in data engineering.
  
  
• Document technical specifications, processes, and workflows for reference purposes.
  
  

We are looking for

The ideal candidate has all or some of the below experience:

• You must hold a valid Danish residence and work permit.
  
  
• You have a Bachelor's degree or equivalent experience in Computer Science, Software Engineering, or a related field, e.g. DevOps Engineer or cloud Engineer.
  
  
• You have at least 3 years of experience as a Data Engineer.
  
  
• You have proficiency in related programming languages such as Python, PySpark, Spark.
  
  
• You have a strong understanding of storage & database systems (relational, non-relational, SQL, and NoSQL), query optimisation, and performance tuning.
  
  
• You have strong experience with data warehousing and ETL tools (e.g., Apache Spark), specifically Azure Databricks, Azure Datalake, Azure CosmosdB, and Azure Data Factory.
  
  
• You have experience with big-data architecture components such as ingestion, batch processing, stream processing, and analytics.
  
  
• You have experience with Azure or data storage and processing.
  
  
• You have working experience with Azure DevOps (git), CI/CD and pipelines.
  
  
• You have knowledge of data modelling and design principles for effective data storage and retrieval.
  
  
• You have experience in Azure IoT and Azure Event Hub, or Azure Functions, which is a major advantage.
  
  
• Knowledge of Data Lakehouse.
  
  
• You have excellent problem-solving skills and the ability to troubleshoot complex issues related to data processing pipelines.
  
  
• You have good communication and collaboration skills.
  
  
• You must be fluent in oral and written English, as this is our corporate language.
  
  

Deadline: 10 November 2023

Building a Diverse Workplace

In Svitzer we value the diversity of our talent and will always strive to recruit the best person for the job – we value diversity in all its forms, including but not limited to gender, age, nationality, race, sexual orientation, disability, or religious beliefs. We are proud of our diversity and see it as a genuine source of strength for building high performing teams.

Don’t meet every single requirement? Studies have shown that members from some under-represented groups are less likely to apply for jobs if they don’t meet every single qualification. At Svitzer we are dedicated to building a diverse and inclusive workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles, and we are excited about hearing from you!

How to Apply

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