Data Engineering Lead

Epiroc Rock Drills AB

Örebro län, Örebro

Tidigare erfarenhet är önskad

20 dagar kvar
att ansöka till jobbet

Learn more at www.epirocgroup.com. Are you a senior data engineer ready to design and build data platforms at scale for global impact? We’re looking for a Data Engineering Lead to establish world-class practices and infrastructure for our AI and data initiatives. Join our team! We’re building cutting-edge AI and data solutions at a global scale, designed for production and impact. As a newly established and dynamic hub, we are passionate about driving innovation and empowering our entire organization to unlock new possibilities with data and AI. We thrive on collaboration, value fresh ideas, and are excited to tackle challenges that shape the future. If you're ready to be part of a team that's pushing boundaries and delivering real-world results, we’d love to hear from you! Your mission In this role, you’ll: * Be hands-on, designing and building 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. Your profile We are seeking a highly motivated and self-driven individual who excels in working independently with minimal supervision. You should demonstrate a creative approach to problem-solving and possess a "go-getter" attitude, always striving to find solutions and overcome challenges. Exceptional interpersonal communication skills are essential, enabling you to effectively collaborate with team members and stakeholders. You aso bring: * 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. * Experience in supply chain data systems is a bonus but not required. This is an individual contributor role with the potential for future management responsibilities. If you’re ready to roll up your sleeves, lead by example, and build data platforms that enable AI innovation at scale, we want to hear from you! Life at Epiroc By joining our team, you can expect an atmosphere of creativity, innovation, and workplace diversity. You will be a part of a group of skilled and helpful colleagues who live by our core values: Collaboration, Commitment, and Innovation. In addition to the fact that we have a culture that is characterized by development combined with having a good balance between work and leisure, some things make us a little extra proud to work at Epiroc. Find out more at https://www.epirocgroup.com/en/work-at-epiroc Location and travel The location for this role is Örebro or Stockholm, Sweden. Occasional travel may be required. If a candidate from another country applies and is successful, local terms and conditions will apply. Application and contacts In this recruitment process, we review applications continuously. We welcome your application as soon as possible, by creating an account in our recruitment system. The last day to apply for this position is 05/02/2025. We are committed to a thorough recruitment process, including interviews, reference checks and assessments. To ensure a safe working environment, we conduct identity checks and drug and alcohol screening. Our process is designed to be fair and inclusive; you can expect transparent communication and a balanced evaluation of your skills and experience. For questions about the position, please contact: Hiring manager Luba Weissmann, AI Director, [email protected] OR Recruitment Specialist Zuzana Kalivodova, [email protected].

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