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 .