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Data Engineer Digital Operations Center (d/f/m)
Negotiable Salary
Indeed
Full-time
Onsite
No experience limit
No degree limit
Prta del Sol, 4, 2ºC, Centro, 28013 Madrid, Spain
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Description

**Group presentation** We strive to make cities the best ever places to live, by advancing an industry that moves over 1 billion people each day. We are transforming our business by driving the industry norm and challenging ourselves, fostering a culture of internal and external collaboration, and building on our unique engineering capabilities to optimize existing and create new products and solutions for our customers that cater to real mobility needs. **Who we are** TK Elevator (TKE) is a global leader in vertical transportation and urban mobility. We provide engineering that keeps the world moving, from design to installation and maintenance on any brand of elevators, escalators, walkways, lifts, passenger boarding bridges, stairlifts, platform lifts and home elevators – any place and any time. With our digital solutions like AGILE and the IoT platform, MAX, there are no longer any limits to urban mobility. TK Elevator became independent following its separation from the thyssenkrupp group in 2020\. The company achieved sales of €9\.3 billion in fiscal year 2023/2024\. With around 50,000 employees, 25,000 service technicians and over 1,000 support centers globally, we are moved by what moves people. TKE – Move Beyond. **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 **Contact** Please apply **online** in English, including your **notice period** and **salary expectation**. Talent Acquisition Uwe Hüsken **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 **Additional information** At TK Elevator, we aim to embrace diversity and welcome everyone \-no matter the ethnicity, nationality, gender or gender expression, age, social background, religion or world belief, sexual orientation, disability, marital status or any other legally protected characteristic or status. Do you have a disability and would like to work with us? Then we look forward to your application! As a signatory of the Charter of Diversity, TK Elevator is committed to a prejudice\-free and diverse working environment with equal opportunities. Although we are not completely barrier\-free yet, we are working every day to improve ourselves. Let’s overcome barriers together and work on individual solutions that work for you. Job Reference: ES\_ET\_EA\_IBA\_TKE00707

Source:  indeed View original post
David Muñoz
Indeed · HR

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