Data Engineer
15 hours ago
We are seeking a skilled Data Engineer to play a pivotal role in building and maintaining our data infrastructure, with a specific emphasis on BigQuery as our data warehouse and Looker for business intelligence and reporting.
Key Responsibilities:- Data Integration and ETL:
- Design, develop, and maintain robust ETL pipelines using tools and technologies such as Apache Airflow, dbt, or similar, ensuring data integrity and accuracy throughout the process.
- Integrate data from diverse sources, including databases, APIs, third-party systems, and SaaS applications, into a centralised BigQuery data warehouse.
- Cleanse, transform, and aggregate data to create a standardised and well-structured data model that supports efficient querying and analysis.
- Data Warehousing and Modelling:
- Collaborate with engineering teams and analysts to design and implement a scalable and optimised data warehouse schema in BigQuery.
- Develop and maintain data models that accurately reflect business requirements and enable efficient data exploration and analysis.
- Optimise data storage and query performance to ensure fast and responsive reporting and analytics.
- Business Intelligence and Reporting:
- Partner with business and financial analysts to understand their reporting and analytics needs, translating them into actionable Looker dashboards and reports.
- Develop visually appealing and user-friendly Looker dashboards that provide insights into key business metrics and performance indicators.
- Create ad-hoc reports and analyses to support strategic decision-making and address specific business questions.
- Data Quality and Governance:
- Implement data quality checks and validation processes to ensure data accuracy and consistency.
- Establish and enforce data governance policies and procedures to maintain data integrity and security.
- Monitor data usage and identify opportunities for optimization and improvement.
- Bachelor's degree in Computer Science, Engineering, or relevant experience.
- 5+ years of experience in data engineering, with a strong focus on ETL and data warehousing.
- Proficiency in SQL and experience working with BigQuery or similar cloud-based data warehouses.
- Hands-on experience with Looker (preferred) or other BI tools.
- Familiarity with data pipeline orchestration tools such as Apache Airflow or similar.
- Strong understanding of data modelling principles and best practices.
- Excellent problem-solving and analytical skills.
- Ability to work effectively in a collaborative and fast-paced environment.
- Experience working in a SaaS or subscription-based business.
- Knowledge of data visualisation techniques and best practices.
- Familiarity with cloud technologies such as GCP (preferred) or AWS.
Salary dependent on skills and experience.
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