Data Engineer
Veeva Systems
ApacheAWSCloudGoogle Cloud PlatformJavaPySparkPythonSpark
Senior Data Engineer
jobs.com
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇵🇹 Portugal
Visit company websiteJob Level
Senior
Tech Stack
AirflowAmazon RedshiftApacheAWSCloudDistributed SystemsEC2JenkinsPythonSQLTerraform
About the role
- You develop the end-to-end automation of data pipelines to make ingestion, transformation, and distribution of data more efficient and self-service for our users
- You explore and learn the latest AWS and big data technologies to uncover hidden use-cases, enable new capabilities, and build new integrations for our SIXT Data shop product
- You interact with Data Engineers, BI Analysts and Data Scientists to find the best solutions for different analytical use cases (Dashboarding, ad hoc Analytics, Data-as-a-product, Machine Learning)
- You contribute to the Data Platform vision and execution with experience, new ideas, and your own curiosity
- You show extreme work ethics and integrity to deal with sensitive data while protecting our end-customer
Requirements
- You hold a bachelor’s or master’s degree in computer science or related fields preferred
- You have got experience with combined Data Lake and Data Warehouse architectures and automation from data sources to analytical dashboards with ELT
- You are experienced in analytical cloud datawarehouses (Redshift, Snowflake) & you know how to create transformed data models (dbt) and to automate interdependent jobs (Apache Airflow)
- You are experienced in working with AWS services in CLI and Console (S3, EC2, EMR, Lambda, Kinesis, IAM...) and infrastructure as code (Terraform, CloudFormation)
- You work with engineering best practices across the development lifecycle, including agile methodologies, code reviews, source management (GitHub), deployment processes (Jenkins), testing, operations, etc. and you also have got an understanding of data management fundamentals, distributed systems, and data storage/compute principles
- Knowing Python and SQL is a must
Benefits
- Enjoy 28 days of vacation, an additional day off for your birthday, and 1 volunteer day per year
- Benefit from a hybrid working model, flexible working hours, and no dress code
- Access discounts on SIXT rent, share, ride, and SIXT+, along with partner discounts
- Participate in training programs, external conferences, and internal dev & tech talks designed for your personal growth and development
- Private health insurance to support your well-being
- Enjoy the Coverflex advantage system to enhance your employee experience
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data pipelinesdata ingestiondata transformationdata distributionAWSData LakeData WarehouseELTPythonSQL
Soft skills
work ethicsintegritycuriosity