We are looking for a Senior Data Engineer to play a key role in building, optimizing, and maintaining our Azure-based Data Platform, which supports IoT data processing, analytics, and AI/ML applications. As part of our Data Platform Team, you will design and develop scalable data pipelines, implement data governance frameworks, and ensure high-performance data processing to drive digital transformation across our business.

Key Responsibilities:

• Data Pipeline Development: Design, build, and maintain high-performance, scalable ETL/ELT pipelines using Azure Data Factory, Databricks, and ADLS.
• Data Platform Enhancement: Contribute to the development and optimization of our Azure-based Data Platform, ensuring efficiency, reliability, and security.
• IoT & High-Volume Data Processing: Work with large-scale IoT and operational datasets, optimizing data ingestion, transformation, and storage.
• Data Governance & Quality: Implement data governance best practices, ensuring data integrity, consistency, and compliance.
• Performance Optimization: Improve query performance and storage efficiency for analytics and reporting use cases.
• Collaboration: Work closely with data scientists, architects, and business teams to ensure data availability and usability.
• Innovation & Automation: Identify opportunities for automation and process improvements, leveraging modern tools and technologies.

Requirements:

• 5+ years of experience in data engineering with a focus on Azure cloud technologies.
• Strong expertise in Azure Data Factory, Databricks, ADLS, and Power BI.
• Proficiency in SQL, Python, and Spark for data processing and transformation.
• Experience with IoT data ingestion and processing, handling high-volume, real-time data streams.
• Strong understanding of data modeling, lakehouse architectures, and medallion frameworks.
• Experience in building and optimizing scalable ETL/ELT processes.
• Knowledge of data governance, security, and compliance frameworks.
• Experience with monitoring, logging, and performance tuning of data workflows.
• Strong problem-solving and analytical skills with a platform-first mindset.

Preferred Qualities:

• Background in service industries, field service data models, or operational analytics.
• Experience with machine learning, AI, and GenAI data workflows.
• Passion for data-driven decision-making and continuous improvement.

• Secure job and salary – permanent contract in a technically exciting, stable, and sustainable industry and an attractive compensation package
• Social benefits and an attractive work calendar.
• Teamwork & safety – an open, transparent, and value-oriented culture
• Individualized training plan from your very first day.
• TK Elevator is a company with an open, transparent culture that focuses on the people who make it up. At TKE you will receive frequent feedback, continuous training and space to contribute your ideas.

At TKE we are committed to a corporate culture that values and is committed to diversity. We understand that different cultures, professional profiles, nationalities or gender enrich us and allow us to work together and achieve excellence. We are adhered to the world compact and the United Nations Declaration of Human Rights.

TK Elevator is a forward-thinking company where people can find the freedom to broaden their horizons and become part of a company that is diverse, exciting, innovative and, on top of all, stable. We have created a work environment that fosters respect, tolerance and diversity, where people can grow professionally and work in teams passionate about transforming the industry.

We are a company committed to people, society and the planet. Aligning our business success with attention to the needs of our social environment and the planet makes our brand even stronger and more sustainable. Our commitment goes from respecting our regulations and codes of conduct to our social policies in favour of integration, diversity and conciliation.