Data Engineer, Springpod

• Experience creating and maintaining data integration workflows between different systems, databases, and applications
• Experience developing and maintaining data pipelines to extract, transform, and load (ETL) data from various sources into centralised data storage systems
• Experience performing data cleaning, pre-processing, and transformation tasks to ensure data quality and consistency
• Experience creating and following documentation guidelines and development best practices
• Experience implementing data lakes and data warehouses in cloud environments
• Familiarity with data quality concepts
• Proficiency in Python (additional languages commonly used for data engineering, such as Java, are beneficial). Familiarity with analytics libraries and data-related concepts. Familiarity with PySpark
• High proficiency in SQL, notably PostgreSQL. Ability to solve complex queries, optimize queries and analyse execution plans
• Building and maintaining data warehouses, data marts, and data lakes to support reporting, analytics, and machine learning applications
• Knowledge of the AWS Analytics ecosystem (Amazon Redshift, Amazon Athena, AWS Lake Formation)
• Data integration and ETL: You should have experience with data integration tools and be familiar with Extract, Transform, Load (ETL) processes, including data validation and cleansing
• Advanced data quality and data warehousing concepts
• Problem-solving and troubleshooting - You should be able to identify and resolve issues related to data processing, data quality, and data transfer
• Communication and collaboration - Effective communication and collaboration skills are essential for working with cross-functional teams and stakeholders, including data analysts, product managers, and other engineers
• Self-starter - You should be curious, eager to learn, and have a passion for solving complex data problems, with a high degree of autonomy
• Given his seniority, it is expected high level of autonomy and proactive collaboration

Desirable

• As we scale up our team internationally, we have a fantastic opportunity for a talented and driven Junior Data Engineer to join our Data & Analytics team
• This role will play a key part in expanding our use of data to benefit our users and client partners
• The candidate will be responsible for assisting with data capture and integration in our centralised analytical ecosystem
• Build data pipelines for analytics purposes
• Contribute to data assets catalogs and documentation by using standards previously set
• Contribute to building Springpod’s analytical ecosystem following architecture principles set by the Data and Analytics area
• Contribute its expertise in AWS tools and Analytics projects to the implementation of Springpod data analytics products