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Senior DataOps Engineer
SHOP APOTHEKE EUROPE. Design and implement scalable, high-performing data pipelines .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and implementing scalable data pipelines and optimizing data architecture using Azure Data Services and Databricks. Proficient in applying CI/CD practices and collaborating across teams to meet data needs while ensuring performance and security in data systems.
Highest-signal resume keywords
Data EngineeringAzure Data ServicesDatabricksBig Data TechnologiesCI/CD Practices
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data Pipeline DesignData Architecture OptimizationSQLPythonScalaJavaApache SparkKafkaFlinkGitHub
Soft Skills
CollaborationMotivation to Learn
Tools & Technologies
Azure Public CloudDatabricksCI/CD ToolsDevOps
Industry Keywords
Cloud-Native SolutionsData AnalyticsDistributed Architecture
Tech Stack
Tools & technologiesApacheAzureCloudJavaKafkaPythonScalaSparkSQL
About the role
Key responsibilities & impact- Design and implement scalable, high-performing data pipelines
- Optimize data architecture
- Build and deploy cloud-native solutions using Azure Data Services, Databricks, and other Big Data technologies
- Collaborate across teams to understand and support data needs
- Ensure data architecture supports ongoing and future initiatives
- Apply CI/CD practices in Data Analytics projects
- Streamline development and deployment processes
- Continuously optimize performance, scalability, and security in data systems
Requirements
What you’ll need- 5+ years of experience in data engineering, software development, or related fields
- Expertise in ingesting and processing large datasets
- Hands-on experience with Azure public cloud platforms
- Working knowledge of Databricks or Apache Spark
- Skills in Big Data technologies such as Kafka and Flink
- SQL for analytics
- Proficiency in at least one programming language such as Python, Scala, or Java
- Working experience with GitHub and DevOps
- Motivation to learn and apply best practices for cloud-native systems and distributed architecture
Benefits
Comp & perks- Comprehensive onboarding program and welcome days
- Urban Sports Club membership (M) package
- Anonymous and free professional psychological support from nilo
- Flexible work-from-home arrangement, including up to 20 days per year anywhere in the EU
- Individual development support through internal and external training