Data Engineer Digital Operations Center

What We Expect

Digital Operations Centers (DOC)
at TKE intend to translate data into actionable insights for our service and sales workforce in field operations, all geared towards improving performance of our customers' elevators and escalators. At multiple locations worldwide we run DOC's where top experts from elevator domain, data and field operations gather.

We are searching for a
business savvy data engineer (d/f/m)
who is motivated to implement E2E data-based use cases that create tangible business value for our service and sales workforce. The person will collaborate closely with our DOC in Atlanta to learn and scale existing solution approaches to DOC's in other regions of the world. Therefore the ideal candidate is able
to balance technical synergies and create stakeholder-oriented solutions
that create business value.

This role will be located in Madrid.

• Derive measures based on data analysis to drive field productivity, including insights to optimize technician efficiency, reduce downtime, and improve service delivery
• Derive measures based on data analysis to create upselling opportunities and other business value- adding use cases
• Communicate how data use cases create business value and communicate to business stakeholders accordingly
• Work closely with business stakeholder to understand whatever is needed to create E2E business value
• Use established procedures and artifacts from our Common Data Platform that is based in Databricks and MS Azure
• Make use of data IoT telemetry, customer data, service data as well as further internal and external datasets
• Develop and optimize SQL queries and Python scripts for data exploration, transformation and advanced analytics
• Apply data modelling and validation techniques to ensure accuracy and consistency
• Innovate/find new opportunities based on data insights making use of modern tooling incl. AI/GEnAI

Who we are looking for

• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field
• Minimum 5-10 years of experience in Data Science / Data Engineering
• Strong business acumen to understand service contract models and respective value creation mechanisms
• Passion for data-driven business-focused innovation in industrial services – Passion for Impact – ready to go the extra mile
• Understanding of machinery comparable to elevators and escalators (e.g., industrial machines, rotating equipment, robotics)
• Experience collaborating with both technical and business SMEs (Field, Service, R&D)
• Strong hands-on experience with Databricks, SQL, and Python
• Proficiency in Power BI (DAX, data modelling, dashboard design)
• Experience working with IoT telemetry data (preferably in industrial or service environments)
• Proven track record in data analytics roles, ideally within industrial, service, or IoT-heavy organizations
• Fluent in English

What we offer

• Health and Safety –Highest standards and a wide range of health promotion and healthcare activities
• Flexibility –We support, for example, through flexible yet regulated working hours and remote working options
• Collaboration & diversity –Collegiality is of huge importance – we treat everyone with respect and appreciation
• Development –Individual support to help you get started in your new job as well as training and education programs to help you develop professionally and personally
• Creative leeway –We offer an environment in which you can try out new solutions in a no-blame-culture
• Sustainability –We act with responsibility and environmental awareness
• Work environment –We have modern workplaces and IT equipment, subsidized lunchtime meals in the canteen, free parking and discounted public transport tickets