Senior Data Engineer (data Automation) (d/f/m)

Düsseldorf, NW, DE, Germany

Job 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



We are seeking a

Data Automation Engineer (d/f/m)

to join our global

Architecture & Technology

team. This role is critical to advancing our

Common Data Platform (CDP)

beyond harmonizing the data estate, enabling the next level of automation and agentic capabilities to solve challenging business use cases.

The ideal candidate combines strong engineering skills with curiosity for understanding business requirements and passion for leveraging the latest advances in

Microsoft Azure

and

Databricks

technology. This position offers the opportunity to work at the intersection of

data engineering, automation, and cutting-edge AI

.




Key Responsibilities




Design, implement, and optimize data ingestion and transformation pipelines using

Azure Databricks

,

Data Factory

, and

ADLS

Apply automation to streamline and scale recurring data engineering tasks across the CDP Develop reporting and visualization solutions using

Power BI

(or similar tools) to support adoption and transparency Collaborate with business stakeholders to understand requirements and translate them into automated, value-creating solutions Work with Data Architects to ensure automation aligns with standards, governance, and platform strategy Apply strong data modelling skills to ensure consistency, quality, and reusability of data across the platform Continuously evaluate and integrate new technologies and best practices in data, automation, and AI to drive platform evolution Explore and leverage the latest capabilities of

Azure AI Foundry

and

Databricks Agent Bricks

to enable intelligent, agentic orchestration


Who we are looking for



Bachelor’s in Computer Science, Data Engineering, or a related field 3+ years of experience in data engineering, automation, or applied analytics Hands-on expertise in

Azure Databricks

,

Data Factory

,

SQL

,

Python

, and

Power BI

Strong understanding of data pipeline automation, CI/CD for data, and orchestration frameworks Proven capability in data modelling and building reusable, scalable data structures Interest in linking business requirements to technical solutions and measuring tangible outcomes

Strong team player

– collaborates effectively across global and cross-functional teams, contributing to collective success

Ownership and getting-things-done mindset

– takes initiative, drives work independently, and delivers results reliably in a fast-paced environment Familiarity with

Azure Foundry

and emerging tools such as

Databricks Agent Bricks

is a plus Curiosity for

agentic AI

capabilities and how they can enhance automation in enterprise environments Fluent in English; both written and spoken


Contact



Please apply

online

in English, including your

notice period

and

salary expectation

based on a regular

37,5

hour work week

.



Alexandra Dreger



Talent Acquisition

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

Compensation & pension

– Fair working conditions, competitive compensation, following “Collective Agreements” and support with pension schemes

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: DE_ET-EG01225

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Job Detail

  • Job Id
    JD3990039
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    Düsseldorf, NW, DE, Germany
  • Education
    Not mentioned