Lead Data Engineer

at  Kone

KONE Technology and Innovation (KTI) is where the magic happens at KONE. It’s where we combine the physical world - escalators and elevators - with smart and connected digital systems. We are changing and improving the way billions of people move within buildings every day. We are on a mission to shape the future of the industry with new technologies and sustainable innovations.
We are looking for a

WITH RESPECT TO THE WAY OF WORKING, WE EXPECT YOUR PROFESSIONAL EXPERIENCE TO INCLUDE

• Passion to utilize agile development methodologies and tools ((Jira, Confluence, draw.io).
• Inbuilt cybersecurity awareness. Understanding on data privacy and compliancy regulations.
• Ability to work in global multi-cultural team and effectively collaborate within the team.
• Ability to self-organize and be proactive, seek feedback, be courageous and resilient, and have excellent problem-solving skills.
• Proficiency in spoken and written English language, and strong facilitation and communication skills.
  For additional information, please contact Marika Mattelmäki, Head of Enterprise Data & Analytics by email [email protected].

• Master’s or Ph.D. degree in either software engineering, data engineering, data science, computer science, physics, statistics, mathematics, or a related field.
• Over 6 years of hands-on data engineering professional experience.
• Technical proficiency with our cloud stack: AWS, Gitlab/GitHub, Databricks, Airflow, Python, SQL, PySpark, and DBT for developing and orchestrating ETL jobs, AWS CDK and Terraform for IaaC.
• Previous hands-on professional experience in developing and maintaining data pipelines on Databricks and AWS. Relevant AWS and Databricks certificates preferred.
• Ability to write compelling code, technical documentation and visualize your technical design. Coding proficiency with Python and SQL (experience with Scala and DBT is considered a plus) with proven hands-on experience in industry standard software development life cycle methods, experience with software testing practices and DevOps practices spanning the full solution lifecycle.
• Good understanding cybersecurity guidelines, data privacy and compliancy regulations.
• Practical experience in working with enterprise data landscapes and data structures: Structural data, non-structural data, metadata, master data, transactional data, batch/NRT. Experience on enterprise data sources such as e.g. SAP ERP, Salesforce and product data management (PDM).
• Acting as the go-to person in the methodological and technical aspects of data engineering, promoting innovation in data engineering, critically evaluate new data engineering methods and applying them to practice.
• Identifying, designing, and implementing data engineering process improvements, e.g. automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.
• Ensuring pipelines are implemented with industry best practices and aligned with the KONE’s technical design principles and architecture, ensuring that all Data Engineers follow agreed development process and agreed CI/CD principles, as well as planning and conducting quality actions such as code reviews, supporting and coaching sessions.
• Demonstrating in-depth process and data knowledge for the business domain(s) you are allocated to work with.
• Taking additional responsibilities such as the role of Scrum Master, leading task forces and defect triages.