Data Engineer

3 weeks ago

Fareham, Hampshire, United Kingdom Total Security Limited Full time
Total Security Limited: Data Engineer Opportunity

We are seeking a skilled Data Engineer to play a pivotal role in building and maintaining our data infrastructure, with a focus 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.
Qualifications and Skills:
  • 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.
Beneficial Experience:
  • 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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