Data Engineer

Summary

Join Ten, a global leader in lifestyle management and concierge services, and become a key member of our growing data team. As a Data Engineer, you will design, build, and maintain our data architecture, ensuring it aligns with business needs. You will collaborate with various teams, including analytics, operations, and executive teams, to solve technical data challenges and improve data processes. You will build ETL processes using cloud-based and SQL technologies, create analytical tools, and contribute to the development of machine learning models. This role requires a strong background in data engineering, experience with cloud platforms (Azure, AWS Redshift, Snowflake), and excellent problem-solving skills. Ten offers a competitive salary, flexible working arrangements, generous paid time off, and unique benefits like Remote Working Holidays and a paid sabbatical after five years.

Requirements

• 3-5 years of experience as data engineering, data analyst, software engineer or related
• Experience in building ETL process on SQL and cloud-based technologies
• Experience working with Azure, AWS Redshift, SQL, Snowflake etc
• Advanced english level (B2-C1)
• Azure
• AWS Redshift
• SQL
• Snowflake
• Collaboration and teamwork
• Adaptability and continuous learning
• Continuous improvement and proactive mindset
• Problem-solving and analytical thinking

Responsibilities

• Putting together large, intricate data sets to satisfy both functional and non-functional business needs
• Building necessary infrastructure using Cloud based and SQL technologies
• Helping stakeholders, including the Analytics, Preposition, Operations and executive teams, with technical data difficulties
• Working on data-related technical challenges while collaborating with stakeholders to support their data infrastructure needs
• Remaining up-to-date with developments in technology and industry norms can help you to produce higher-quality results
• Determining, creating, and implementing internal process improvements, such as redesigning infrastructure for increased scalability, improving data delivery, and automating manual procedures
• Reformulating existing frameworks to maximize their functioning
• Building analytical tools that make use of the data flow and offer a practical understanding of crucial company performance indicators like operational effectiveness and customer acquisition

Benefits

• Competitive salary
• Flexible working arrangements
• Generous paid time off
• Remote Working Holidays
• Paid sabbatical after five years