Principal Data Engineer, Data Products

Overview

Design, develop, and industrialize cloud‑based data pipelines and products.

Key Responsibilities

• data pipelines
• data engineering
• design patterns
• technical debt
• production ops
• incident resolution

Tasks

-When agreed, takes additional responsibilities, such as leading organization wide capability development, engage with business stakeholders to provide data engineering and technology related advisory, representing KONE in internal and external forums such as technology forums, university collaboration etc. -Designing data pipelines and doing hands-on data engineering development tasks in product teams. Understanding the business needs, data, methods for industrializing the data pipelines, their optimization and limitations. -Maximizing reusability and usage of common design patterns across the data product teams with an aim to keep them lean and maintainable. Identifying technical debt regularly and ensuring that its management is prioritized in the product backlogs. -Planning the production and support operations for data pipelines to be deployed for data consumers, troubleshooting and resolving incidents and identifying root causes and resolving them when needed. Identifying improvement opportunities based on the performance metrics and data consumer feedback.

Requirements

• python
• databricks
• aws
• airflow
• phd
• problem solving

What You Bring

-Proficiency in spoken and written English language, and strong facilitation and communication skills. -Expertise in cybersecurity guidelines, data privacy, compliancy regulations and quality assurance practices, and cloud FinOps. -Demonstrating in-depth business domain-specific knowledge, ensuring that data pipelines are implemented with industry best practices, aligned with the design principles and architecture guardrails including planning and conducting quality actions, such as code reviews and triages in the teams. -Ability to self-organize and be proactive, seek feedback, be courageous and resilient, and have excellent problem-solving skills. -Proven track record in applying data engineering practices to develop industrial grade reusable data products using cloud technology, industrializing data pipelines to production grade solutions and continuously improving them. -Practical experience in working with complex enterprise data landscapes and data structures (IoT and main enterprise systems such as SAP ERP, Salesforce, PDM, MES, etc.) and continuously optimize cloud costs. -Ability to write clear technical documentation and visualize your technical design. -18-20 years of professional hands-on experience in data engineering and software engineering. -Passion to utilize agile development methodologies and tools (Jira, Confluence, draw.io). -Experience in coaching and/or mentoring, leading teams, sharing knowledge and maturing DataOps practices. -Master's or PhD degree in a quantitative field, for example computer science, sw engineering, statistics, mathematics, or data science/machine learning. -Outstanding coding skills with multiple languages (Python, SQL, Scala) with proven hands-on experience in industry standard software development life cycle methods, DevSecOps/DataOps practices spanning the full data product/data pipeline lifecycle. -Technical expertise in following tech stack: Databricks data engineering, Unity Catalog, Airflow, DBT, AWS Glue, AWS EMR, AWS Athena, Spark, Apache Flink, Apache Kafka, Terraform, Gitlab/Github. Databricks and AWS certifications preferred. -Ability to work in global multi-cultural team across different countries and effectively collaborate within the teams.

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About Kone

-Specializes in the design, manufacturing, installation, and maintenance of elevators and escalators. -Focuses on making the flow of people in and between buildings smoother, more efficient, and sustainable. -Known for its innovative solutions like the KONE UltraRope and KONE Destination Control System. -A key player in both new construction and modernization projects, ensuring safety, energy efficiency, and reliability. -Typically involved in landmark projects like airports, office towers, shopping centers, and residential complexes. -Committed to technological advancements, including smart building solutions and predictive maintenance.

Sector Specialisms