Senior Data Engineer

1 month ago


Copenhagen, Copenhagen, Denmark Schibsted Danmark Full time

About the Role

We are seeking a highly skilled Senior Data Engineer to join our Sales Insights team. As a key member of our team, you will be responsible for designing, developing, and maintaining our data architecture, ensuring scalability, reliability, and performance.

Key Responsibilities

  • Lead the design and development of ETL/ELT processes to support Sales' data needs.
  • Take ownership of the Sales Insights' data architecture, ensuring it is scalable, reliable, and performs optimally.
  • Collaborate with stakeholders to understand business requirements and translate them into technical solutions.
  • Mentor and guide team members, fostering a culture of continuous learning and growth.
  • Stay up-to-date with emerging technologies and industry trends, advocating for best practices and innovative solutions.

What We Offer

We offer a dynamic and supportive work environment, with opportunities for professional growth and development. Our team is passionate about data-driven decision-making and is committed to delivering high-quality results.

Requirements

  • Minimum 5 years of experience in the BI domain, with a focus on data engineering and data warehouse concepts.
  • Proficiency in transforming data using ETL/ELT tools, and hands-on experience with the entire pipeline.
  • Experience with cloud-based data platforms, preferably Snowflake.
  • Proficiency in Python.
  • Advanced SQL skills, including performance tuning and optimization.
  • Familiarity with big data technologies such as Apache Spark and Kafka.
  • Proficiency in data modelling techniques, including dimensional modelling and star schema design.
  • Understanding of data governance, data quality management, and data security principles.
  • Experience with CI/CD pipelines and DevOps practices.
  • Experience in integrating data from various APIs and third-party sources.
  • Experience working in an agile environment, with a forward-leaning and collaborative mindset.

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