Your Role:We are looking for a Mid (2-3 years) Data Platform Engineer to join our growing data team. The ideal candidate has a deep understanding of both technical data processes and data analysis, with an emphasis on cloud-based solutions. You will be responsible for developing an efficient data platform that is easily extended by new data sources and pipelines, developing basic and complex data pipelines.
Design, construct, install, test and maintain highly scalable data management systems.
Ensure systems meet business requirements and industry best practices.
Collaborate with data scientists and other tech stakeholders for their data pipeline/flow requirements.
Work with Product Development, Category, and Marketing teams to assist with data-related technical issues and support their data infrastructure needs.
Provide maintenance for analytical data stores and query engines.
Developing and maintaining modular and reusable ETL processes. This includes monitoring performance and data quality.
Providing a functional BI platform and overseeing data access permissions within the BI platform.
Integrate new data management technologies and software engineering tools into existing structures.
Improve data foundational procedures, guidelines and standards.
Bachelor’s Degree from a top school with study in Computer Science, Electrical & Electronics Engineering, Mathematics or related fields.
Excellent command / highly proficient in spoken and written English.
Excellent verbal and written communication skills.
Experience with Public Cloud Providers, with an emphasis on data storage and manipulation. Experience within the AWS ecosystem (EC2, S3, EMR, Glue and Lambda) is highly preferable.
Programming experience in Python, with an emphasis on writing modular and reusable code.
Experience with code based scheduling and orchestration tools (Prefect, Airflow, Dagster)
Experience with writing SQL statements that processes analytical datasets, with an emphasis on performance and readability. (Snowflake, Redshift, Trino)
Experience in developing and managing containerized applications, understanding of Docker fundamentals and concepts, and deployment and scaling of such applications. (Docker, Kubernetes, AWS ECS, …)
Understanding of DevOps best practices, version control, Infrastructure as Code. (Git, Terraform, AWS CDK, …)
Experience with open-source technologies is also highly preferable. We value the innovative and collaborative nature of the open-source community, and our data tech stack is primarily built using open-source tools.
Languages: Python, Scala, SQL
Data Warehouse: Snowflake
Data transformation: Snowflake, Spark, DBT
Streaming: Kafka, Flink, Debezium
Infra as Code: AWS CDK, Terraform, Github Actions
Version control: Git
Culture and environment - What to expect:
An opportunity to bring impact and change the service market dynamics, in a stimulating and international environment
Great, knowledgeable colleagues - we spend much time together and constantly learn from each other
Never-ending growth opportunities supported by learning & development fund
Beautiful central office in Milan, with in-office foosball and Xbox to let some steam after work
Flexible working hours and the possibility to work from home
Lunch vouchers, free fruit & coffee
EVERYDAY casual dress code, with Friday beers on us!