Data Engineer (all genders)

Linz - Austria

Monthly Salary: Not Disclosed

Posted on: 18 hours ago

Vacancies: 1 Vacancy

Job Summary

TeamViewer provides a leading Digital Workplace platform that connects people with technologyenabling 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 645000 customers across all industries rely on. With more than 1900 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

Responsibilities

We are seeking a skilled and detail-oriented Data Engineer to join our growing 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.

What we offer

Onsite Onboarding in our HQ office for an optimal start
An attractive compensation package above the collectively agreed minimum basic salary (according to the IT-KV Regelstufe with classification ST1/rule: EUR 3.724 with ST2/rule: EUR 4.346 gross/month)
28 days of well-deserved holidays
Onsite Onboarding in our HQ office for an optimal start
Great benefits package including company achievement bonus company stocks and regular salary reviews
Special terms for local gyms
Access to Corporate Benefits platform with many discounts
Regular team events and company-wide celebrations
Open door policy no dress code rules frequent all Hands and Leadership Lunches
Work From Abroad Program allowing up to 40 days of work outside your contracting country
We celebrate diversity as one of core values join and drive one of the c-a-r-e initiatives together with us!

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.

Responsibilities

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.

What we offer

Onsite Onboarding in our HQ office for an optimal start
An attractive compensation package above the collectively agreed minimum basic salary (according to the IT-KV Regelstufe with classification ST1/rule: EUR 3.724 with ST2/rule: EUR 4.346 gross/month)
28 days of well-deserved holidays
Onsite Onboarding in our HQ office for an optimal start
Great benefits package including company achievement bonus company stocks and regular salary reviews
Special terms for local gyms
Access to Corporate Benefits platform with many discounts
Regular team events and company-wide celebrations
Open door policy no dress code rules frequent all Hands and Leadership Lunches
Work From Abroad Program allowing up to 40 days of work outside your contracting country
We celebrate diversity as one of core values join and drive one of the c-a-r-e initiatives together with us!