Data Engineer
TeamViewer
full-time
Posted on:
Location Type: Hybrid
Location: Linz • 🇦🇹 Austria
Visit company websiteSalary
💰 €3,843 per month
Job Level
Mid-LevelSenior
Tech Stack
ApacheAzureBigQueryCloudETLGoogle Cloud PlatformHadoopKafkaNoSQLPythonSparkSQL
About the role
- 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.
Benefits
- 28 days of well-deserved holidays
- Onsite Onboarding in our HQ office for an optimal start
- Great compensation and benefits packages including company achievement bonus and stock-based options
- Regular salary reviews
- Public transport friendly office
- 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
- Hybrid and Flexible work time with up to 50% home office
- Work From Abroad Program allowing up to 40 days of work outside your contracting country
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
SQLPythonETLELTdata modelingdata warehousingdata quality managementdata governancestatistical analysisdata pipeline development
Soft skills
problem-solvingattention to detailcollaboration