Data Engineer for Danske Commodities

Are you a data enthusiast with strong technical skills? Are you eager to make a tangible impact on daily operations? If so, you might be the perfect fit for the Data Engineering position in the meteorology domain at our customer Danske Commodities! Danske Commodities is currently looking for an experienced Data Engineer to join their dynamic data engineering team, playing a key role in shaping the future of their advanced data platforms.

Become a vital part of a team that significantly impacts the company's success:

Danske Commodities (DC) leads in energy trading, executing a vast amount of daily trades across more than 39 countries, ensuring energy is consistently moved from surplus areas to those in greatest need. In their Data Engineering & Architecture team (internally known as DARC), they equip business users, data scientists, and data analysts with tools to discover, explore, and analyze relevant data. DC delivers rapid and efficient data services to support the entire trading process, ensuring the best possible data-driven decisions. In the Quantitative Weather Analysis (QWA) Team, they use understanding of fundamental meteorology and cutting-edge machine learning technologies to deliver and visualise actionable insights into the structure of weather forecasts, and how daily, weekly, and monthly atmospheric variations impact energy markets. To achieve this, they are relying on an internal system called Weather Infrastructure Systems (WIS), which is a robust and scalable platform for handling, analysing and processing extremely large volumes of weather data (more than 400TB), and delivering them to end-users in a streamlined manner for making informed commercial decisions. The WIS-platform is first-and-foremost a data interface based on a collaboration with multiple departments in DC, such as IT, QWA and DARC.

The role: Skilled data engineer with a strong technical background

As their new colleague, you'll primarily collaborate with their Automated Trading team, which develops, implements, and monitors algorithmic trading strategies. The team deals daily with fundamental factors like weather and pricing data influencing DC's traded markets. Therefore, they seek the ideal candidate with a robust technical background and experience in building scalable and data-intensive systems. Your primary focus will be within the meteorology domain, making prior experience with large data volumes advantageous. Additionally, you'll collaborate with their quantitative analysts and traders, supporting automated trading activities, building scalable data pipelines, and expanding their algorithmic trading platform.

Your path to success at DC

Initially, you'll receive a thorough introduction to the Data Engineering & Architecture team, your role, tasks, and their data platforms. Through close collaboration with the team, you'll learn their delivery model and how DC engages with stakeholders. Long-term, you'll play a significant role in supporting their journey into algorithmic trading and contribute to building next-generation data platforms for advanced data analysis and high-frequency data services.

Your responsibilities and personal skills:

  • Analyzing, designing, and developing production-ready, scalable data pipelines to support business processes.
  • Collaborating with product managers, data scientists, and traders in their interdisciplinary team to discover new features and data services, leveraging the billions of data points they process daily.
  • Showing enthusiasm for and ability to think outside the box in the data engineering domain and data in general, as DC loves to delve into their domain and seeks individuals eager to join the club.
  • Supporting machine learning initiatives by designing pipelines and conducting basic feature engineering.
  • Being curious and enjoying understanding stakeholders' needs and challenges from various perspectives, as constant boundary-pushing is essential for DC.
  • Demonstrating dedication, enthusiasm, and accountability. While DC fosters a strong collaborative culture, they also expect individuals to work independently.
  • Utilizing a structured problem-solving approach and quickly grasping key issues, given the ever-changing and complex nature of the trading business.

Your qualifications:

  • A solid technical background on MSc, PhD level or similar, such as in computer science, computer engineering, natural science, or another relevant field.
  • 3+ years of experience in building scalable and data-intensive systems with large and complex datasets utilizing the Linux and Windows ecosystems.
  • Experience with programming languages like SQL, Python (OOP & TDD), Bash or alike.
  • Preferably, experience with PaaS / OS-level virtualization (Docker, Kubernetes). Experience with client-server communication tools such as REST and similar is an extra plus.

Danske Commodities will take good care of you:

At Danske Commodities, they prioritize the welfare of their employees. Joining DC means you'll enjoy numerous benefits, including engaging in social events, exploring cultural experiences, relishing tasty meals, and accessing various perks to enhance your health, lifestyle, and future. You'll also step into a dynamic work environment surrounded by skilled professionals who uphold high standards, fostering an environment of progress and achievement. Here, you'll discover abundant opportunities for personal growth, enabling you to hone your skills and pursue your aspirations. Flexibility is paramount, with options for adaptable working hours, including the possibility to work remotely for up to two days weekly, subject to agreement with your supervisor. Moreover, DC organizes a plethora of social and professional events, spanning sports activities and celebratory gatherings, to nurture teamwork and camaraderie among employees. Their central office in Aarhus, adjacent to the main train station, offers a convenient location.

Here are some of the benefits you can expect as a Danske Commodities employee:

  • Flexible working hours, including the option for remote work up to two days per week.
  • Extensive development opportunities facilitated by personalized development plans and access to DC University, offering over 50 courses, along with remote courses from Harvard Learning.
  • Global career prospects within the Equinor group, boasting over 20,000 colleagues worldwide.
  • 10% paid pension, along with a comprehensive healthcare and insurance package.
  • Generous parental leave policies, including 26 weeks of paid maternity leave and 16 weeks of paid paternity leave, and the option to join the Inspired Beyond Babies network.
  • Paid children's sick days, offering paid absence days for child sickness.
  • Additional days off, including a dedicated "Yay Day" for personal relaxation, complementing the standard five weeks of annual leave.
  • Senior days for employees over 55 years old.
  • Bonus scheme and share savings program, allowing participation in Equinor's attractive share savings program.
  • Paid at-home internet and equipment, including a mobile phone with a paid subscription and IT equipment for remote work.
  • Over 100 social and professional events annually, including DC Sports, DC Talks, book club gatherings, and more.
  • Various complimentary tickets to family-friendly and cultural attractions.
  • Discounts at hotels, restaurants, sports clubs, and other establishments.
  • Organic food options, featuring a light breakfast, lunch buffet, and snacks throughout the day.