Senior Data Engineer

TeamViewer provides a leading Digital Workplace platform that connects people with technology—enabling, improving and automating digital processes to make work work better. Our software solutions harness the power of AI and shape the future of digitalization.

We believe that our diverse teams and strong company culture are key to the success of our products and technologies, that hundreds of millions of users around the world and around 645,000 customers across all industries rely on. With more than 1,900 employees worldwide, we celebrate the unique perspectives and talents that each individual brings to the table and foster a dynamic work environment where new ideas thrive. Are you ready to join our team and make an impact?

Job Title: Senior/ Staff/ Principal Data Engineer

Responsibilities

We are seeking a skilled and detail-oriented Data Engineer to join our growing team. In this role, you will be responsible for designing, building, and maintaining the systems that collect, store, and prepare data for analysis across the organization. Your work will serve as the foundation for our data-driven decision-making and AI initiatives, making you a key enabler for our analytics and AI teams.

• Design and implement effective data models and table structures across various storage systems, including relational databases, NoSQL stores, data warehouses, and data lakes.

• Build, maintain, and optimize robust data pipelines (ETL/ELT) to ingest, transform, and load data from production systems and external sources.

• Use workflow orchestration tools to schedule, automate, and monitor data pipelines, ensuring their reliability and performance.

• Define and implement data quality standards and processes (e.g., bronze, silver, gold tiering), including handling missing values and ensuring data integrity, accuracy, and completeness.

• Establish and enforce data governance policies and procedures, manage data lineage and metadata, implement access controls and encryption, and support compliance with data privacy regulations (e.g., GDPR, CCPA).

• Implement and manage scalable data platforms (data warehouses, data lakes) to support efficient analytics, feature engineering, and model training for AI applications.

• Conduct statistical analyses and evaluations of datasets, and develop dashboards or monitoring systems to track pipeline health and data quality metrics.

• Collaborate closely with AI Engineers, AI Software Engineers, QA Engineers, and Data Analysts to understand data requirements and deliver reliable, high-quality data solutions.

Requirements

• Proven experience as a Data Engineer, including designing and building data pipelines and infrastructure.

• Strong proficiency in SQL and Python for data manipulation, automation, and pipeline development.

• Hands-on experience with cloud platforms (e.g., GCP, Azure) and their respective data services (e.g., BigQuery, Azure Data Factory, Databricks).

• Familiarity with big data tools and frameworks such as Apache Spark, Kafka, or Hadoop.

• Solid understanding of data modeling, ETL/ELT development, and data warehousing concepts.

• Experience with data quality management and data governance principles.

• Proficiency with version control systems (e.g., Git).

• Excellent problem-solving skills and high attention to detail.

TeamViewer is an equal opportunities employer and is committed to building an inclusive culture where everyone feels welcome and supported. We C-A-R-E and understand that our diverse, values-driven culture makes us stronger. As we continue to grow as a company, we also focus on enabling our employees to grow both personally and professionally. We are proud to have an open and embracing workplace environment that will empower you to be your best no matter your gender, civil or family status, sexual orientation, religion, age, disability, education level, or race.