Data Engineer (Analytics Engineer) - Freelance

Responsibilities

• Acting as the primary owner in translating business needs and complex SQL queries into scalable, reusable data models using DBT
• Understanding complex business requirements and translating them into effective, insightful dashboards that support decision-making
• Building secure and scalable ELT data pipelines in Airflow and GCP
• Creating and maintaining comprehensive documentation for both core and business-specific data assets to ensure clarity and consistency across the organisation
• Ensuring data models are accurate, complete, and reliable by managing the integrity and quality of all data assets
• Continuously improving the performance of DBT models by applying best practices in query design and data transformations
• Collaborating with scrum master, product managers, business stakeholders and peers to develop iteratively in sprints following agile processes

Requirements

• At least 4 years in the data space as an analytics engineer / data analyst
• Advanced proficiency in SQL, DBT and Big Query knowledge is a plus
• Basic knowledge of Python programming
• Demonstrated experience in building ETL (or ELT), airflow knowledge is a plus
• Demonstrated ability to understand and translate business requirements into dashboards, DOMO or PowerBI knowledge is a plus
• Ability to connect the dots between technical implementation work and business context