Job Description

We are seeking two talented and motivated Data Engineers to join our digital team in Skretting. This role is ideal for someone with a strong background in data engineering who is eager to expand their expertise and transition into a data analyst or data science role.

As a Data Engineer, you will play a key role in designing, building, and maintaining scalable data pipelines, ensuring data is easily accessible, reliable, and prepared for analysis. You will work closely with data analysts and data scientists in-house, providing the foundation needed to drive insights and decision-making across the organization.

This is an excellent opportunity for a data engineer looking to leverage their technical skills while growing into a data-focused role that directly impacts business outcomes. We encourage both newly educated professionals and more experienced candidates to apply. Whether you're just starting your career in data engineering, or you have years of experience under your belt, we value the perspectives and skills you bring to the table.

If you are ready to take the next step in your career and explore the exciting world of data analytics and data science, send us an application!

Responsibilities:

• Design, develop, and maintain robust data pipelines and ETL processes.

• Ensure data quality, integrity, and availability across various data sources.

• Collaborate with data scientists and analysts to support data-driven projects and initiatives.

• Optimize and scale data architecture to meet the evolving needs of the business.

• Integrate data from various sources and systems to create unified datasets.

• Explore and implement new technologies and tools to improve data processing and analysis.

• Provide technical support and guidance to team members on data engineering best practices.

What we ask:

We believe you’ll thrive and succeed best with us if you enjoy working in a dynamic and international environment, where innovative thoughts and solutions are welcomed. You set stakeholder priorities first and have a service-oriented and proactive mindset. You can tackle complex questions and overcome challenging situations with confidence and have excellent communication and teamwork abilities. Some experience with data visualization tools (such as Tableau, Power BI) is an advantage, and familiarity with machine learning concepts and frameworks such as TensorFlow and Scikit-learn is a plus.

What your bring:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

• Proven experience as a Data Engineer or in a similar role is an advantage, but not a requirement. Experience with data analysis or data science is a plus

• Strong proficiency in SQL and experience with database management systems (e.g., MySQL, PostgreSQL).

• Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, GCP, Azure).

• Proficiency in programming languages such as Python, Java, or Scala.

• Knowledge of data warehousing concepts and ETL frameworks.

What we offer

Working for Skretting means working in an international environment with lots of development opportunities. Our values of Trust, Inclusivity, Integrity, Passion and Curiosity are important to us, and our culture is strongly characterized by them. In this role you will be close to the core of what we do; innovation and be able to gain valuable insights into our business. You'll have the chance to work with diverse data sources, ensuring data quality, integrity, and availability while playing a pivotal role in supporting data-driven projects and initiatives alongside our data scientists and analysts.

We offer challenging tasks that allow you to grow professionally, competitive terms, a good pension and insurance scheme and a strong innovative and inclusive culture.  We encourage and support extracurricular sport, health and cultural activities. We have a good diversity of nationalities, ages and professional backgrounds and have several social activities that are driven forward by our own employees and our social committee.

For detailed information about this position, please contact Marat Kashafutdinov, Data Science Manager, marat.kashafutdinov@skretting.com, or Stine Lerstøl, HR Advisor, stine.lerstoel@skretting.com

Application deadline: 19.09.2024