Data Engineering Lead

24 hours ago


Örebro, Örebro, Sweden Epiroc Rock Drills AB Full time

**Job Summary**

We are seeking a highly motivated and self-driven Senior Data Platform Engineer to join our team. As a key member of our data engineering group, you will be responsible for designing and building scalable, production-ready data pipelines and platforms using modern tools and frameworks.

You will work closely with cross-functional teams to tame diverse data sources, adapting creatively and quickly to changing business needs and data landscapes. Your mission is to drive end-to-end data engineering solutions, from architecture design to implementation, defining and establishing ways of working (WoWs) to ensure best practices for data engineering.

In this role, you will have the opportunity to mentor and coach team members, helping to grow a collaborative and high-performing data engineering team. We are looking for an individual who excels in working independently with minimal supervision, demonstrates a creative approach to problem-solving, and possesses a 'go-getter' attitude.

**Key Responsibilities**

  • Design and build scalable, production-ready data pipelines and platforms using modern tools and frameworks.
  • Tame diverse data sources, adapting creatively and quickly to changing business needs and data landscapes.
  • Drive end-to-end data engineering solutions, from architecture design to implementation.
  • Define and establish ways of working (WoWs), ensuring best practices for data engineering.
  • Mentor and coach team members, helping to grow a collaborative and high-performing data engineering team.

**Requirements**

  • Expert-level proficiency in Python, SQL, and modern data frameworks (e.g., Spark, Kafka, Snowflake, etc.).
  • A degree in Computer Science, Data Engineering, or related field (Master's preferred).
  • Extensive experience working with large-scale data systems in global organizations.
  • A strong foundation in cloud platforms (e.g., AWS, Azure, GCP) and DevOps practices.
  • Problem-solving creativity to manage and integrate varied data sources in dynamic environments.


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