Senior Data Engineer

Opportunity

Senior Data Engineer

Want to architect and build a modern scalable data platform, deliver first class data product and be part of a fantastic team? Do you thoroughly understand data processing, data integration, and modelling skills? Do you enjoy ensuring the efficient handling and delivery of large datasets? Would you like to work in an international environment, in a team where we are curious to learn from each other? Join us in SVITZER as our new Senior Data Engineer!

You will report to Rune Bay, Head of Data Platform in Svitzer Technology, who adds, "We have a very exciting role in a fantastic team. We work hard, have high standards and we are ambitions when it comes to optimizing and transforming our business with insight and data products. We seek an informal, fun and learning work experience balancing business objectives with personal learning and growth. You will experience a high level of freedom and room to set the agenda and lead, in a down to earth and fun atmosphere amongst stakeholders and peers".

We are located in Nordhavn, Copenhagen, and Svitzer is a leading Global Towage Operator. We have 430 tugboats worldwide and 4,400 colleagues to deliver sustainable marine solutions, making ports and terminals safer, more efficient and climate friendly. The latter is a high strategic priority. All in all, apart from our core business, an example of what we aim for is our Svitzer Transverse Tug: https://www.youtube.com/watch?v=IPdhKsJu3fk (time to watch: 1 minute and 55 seconds).

More about the Role

As Senior Data Engineer in Svitzer, you will be part of a team consisting of a BI Delivery Manager, a Scrum Master, Full-Stack Developers, Data Scientists and Data Engineers with part of the team placed in Portugal.

You will play a crucial role in the organisation's data platform, general architecture, managing processes and optimising large data volumes for efficient analysis and decision-making. You will help develop and maintain our data platform by ensuring that our data pipelines and data enrichment is reliable, scalable, and efficient.

Key Responsibilities

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

We are looking for

The ideal candidate can tick off all or some of the below:

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

Deadline: 14 January

Questions: If you have any questions about the role, please contact Rune Bay, Head of Data Platform, via his LinkedIn profile.

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, learning from each other and challenging the status quo. We have an international environment with a professional, engaged, dedicated, yet relaxed atmosphere where we value diversity and flexibility. We cherish and believe that there needs to be time for a life outside work. Also, we welcome colleagues who proactively seek 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 arrangement. 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.

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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