Job description

Requirements:

• Minimum 2 years of experience as a Data Engineer working with Google Cloud Platform (GCP) and cloud-based infrastructure.

• Hands-on experience with LookML and Looker modelling language.

• Proven experience in transforming and migrating data models from SSAS and Power BI Semantic Models to LookML.

• Ability to translate DAX expressions into LookML formulas.

• Deep understanding of GCP services and cloud computing architecture.

• Strong background in designing, building, and deploying cloud-based data pipelines, including ingestion from various data sources (e.g., relational databases).

• Proficiency in data modelling and database optimisation, including query tuning, indexing, and performance optimisation for efficient data processing and retrieval.

Nice to Have:

• Experience with at least one orchestration and scheduling tool – Airflow is strongly preferred.

• Familiarity with ETL/ELT processes and the ability to integrate data from multiple sources into a usable analytical format.

• Working knowledge of modern data transformation tools such as DBT and Dataform.

• Strong communication skills to collaborate effectively with cross-functional teams (data scientists, analysts, business stakeholders).

• Ability to translate technical concepts into business-friendly language and present findings.

• Experience leading or actively contributing to discussions with stakeholders to identify business needs and improvement opportunities.

• Relevant certifications in big data technologies and/or cloud platforms (GCP, Azure).

Main responsibilities:

• Design and develop data models in LookML, adhering to best practices.

• Support business users in building Looker dashboards.

• Migrate existing data structures and models to LookML.

• Support and mentor team members in designing and managing LookML-based data models.

• Build efficient and optimised aggregations and calculations for analytics purposes.

• Optimise and continuously improve existing data models to enhance performance and usability.