Data Engineer (m/f/d)

Posted 1 day agoViewed

💎 Seniority level: Middle

📍 Location: Germany

🗣️ Languages: English

🪄 Skills: SQLApache AirflowETLData engineeringPostgresRESTful APIsComplianceJSONData visualizationData modelingData analyticsData management

Experience with Segment, Braze, or similar CDP/CEP platforms
Basic knowledge of data transformation tools
Familiarity with data governance practices, such as data ownership, naming conventions, and data lineage
Experience implementing data privacy measures such as consent tracking and anonymization
Familiarity with data quality metrics and monitoring techniques
Understanding of data privacy regulations (GDPR, CCPA)
Good communication skills, with the ability to work with cross-functional teams and stakeholders

Ensure reliability through automated tests, versioned models, and data lineage
Assist in implementing data governance policies to ensure data consistency, quality, and integrity across the CDP and CEP platforms
Support the automation of data validation and quality checks, including schema validation and data integrity monitoring
Help define and track data quality metrics and provide regular insights on data cleanliness and health
Assist in ensuring compliance with data privacy regulations (e.g., GDPR, CCPA), including implementing consent tracking and anonymization measures
Work with cross-functional teams to standardize data definitions, naming conventions, and ownership practices
Help maintain data cleanliness through automated data cleanup processes and identify areas for improvement
Support the analytics team by ensuring data is structured correctly for reporting and analysis

Posted 5 months ago

📍 EU

🔍 E-pharmacy

🔧 Requirements

4+ years of experience in data engineering, software development, or related fields, with expertise in ingesting and processing large datasets.
Hands-on experience in Azure or other public cloud platforms, including working knowledge of services like Databricks or Apache Spark.
Skilled in Big Data Technologies (e.g., Kafka, Flink) and SQL for analytics.
Proficient in at least one programming language (e.g., Python, Scala, Java).
Motivated to work in an innovative environment, learning and applying best practices for cloud-native systems and distributed architecture.

💡 Responsibilities

Design and implement scalable, high-performing data pipelines and optimize data architecture.
Build and deploy cloud-native solutions leveraging Azure Data Services, Databricks, and other Big Data technologies.
Collaborate across teams to understand and support their data needs while ensuring the data architecture supports ongoing and future initiatives.
Apply CI/CD practices in Data Analytics projects to streamline development and deployment processes.
Continuously optimize performance, scalability, and security in our data systems.

PythonSQLKafkaAzureCI/CDScala

Posted 5 months ago