Senior Data Engineer

Summary

Join FREENOW's dynamic team as a (Senior) Data Engineer in Hamburg, Berlin, Barcelona, or Athens! You'll collaborate with cross-functional teams to design and implement data solutions within a cutting-edge Data Mesh architecture. Responsibilities include developing scalable data products, creating data models, building data quality monitoring frameworks, and staying updated on industry trends. This role requires advanced programming knowledge (Scala/Python), expert-level SQL (SparkSQL), and experience with data pipelines and distributed systems. FREENOW offers a range of benefits, including fully remote or hybrid work options, Udemy access, sabbatical policies, and more.

Requirements

• You have advanced knowledge of at least one programming language and are happy to learn more. Our core languages are Scala and Python
• Expert level of SQL (especially SparkSQL) and Datawarehouse concept, Database. Experience in building data pipelines is a core requirement. Love getting your hands dirty with the data implementing custom ETLs to craft it into information
• You have knowledge of distributed system, Lambda, AWS S3, AWS Cloud watch
• Fluent proficiency in Business English
• Exceptional analytical skills, lateral thinking and experience in solving challenging problems

Responsibilities

• Collaborate with cross-functional teams including data analysts, data scientists, and software engineers to understand data requirements and design optimal data solutions in the Data Mesh environment
• Develop, implement, and maintain scalable data products that enable the seamless flow of data from various sources to the Data Mesh architecture
• Create and manage data models that cater to the specific needs of data consumers while adhering to data governance and security standards
• Design and build data quality monitoring frameworks to ensure data accuracy, consistency, and reliability
• Stay updated with the latest industry trends and best practices in Data Engineering and Data Mesh to continuously improve data pipelines and processes
• Build high-performance APIs to access and query data from data warehouse
• Perform data analysis required to troubleshoot data related issues and assist in the resolution of data issues
• Coordinate and oversee the successful delivery of complex data engineering projects, ensuring alignment with timelines, objectives and stakeholders

Preferred Qualifications

• Experience with AWS, Hive, Spark, Trino, Databricks is helpful
• Enjoy working with stream processing frameworks like Spark structured streaming, Kafka streams
• Experiences in working with Data Visualisation tools (e.g. Tableau, Metabase) is a plus

Benefits

• Fully remote* or hybrid working models
• Free Udemy e-learning access
• Sabbatical & special leave policies
• Subsidised gym membership
• Birthday, 24th + 31st December off
• Partner product discounts
• Mobility budget for FREENOW App
• Free language courses
• Employee assistance program
• Personal development budget