Staff Analytics Engineer

4 weeks ago

London, Greater London, United Kingdom Tesco Full time
About the Role
As a Staff Analytics Engineer at Tesco, you will play a key role in designing, developing, and deploying scalable data lake and data warehouse solutions that empower our security users to draw insights and develop reporting capabilities. You will lead data modelling and architectural decisions, guide technical direction, and mentor the analytics engineering team to deliver high-quality data products.

Key Responsibilities
Technical Leadership: Take charge of the design, development, and delivery of cyber data lake and data warehouse solutions, as well as analytics frameworks and processes to provide quality data products for various cybersecurity use cases.
Analytics Architecture: Design, build, and manage ETLs and data quality processes to transform source data into trusted and curated data products, as well as implementation of Data as a Service (DaaS) model to serve various cybersecurity use cases.
Coding and Documentation: Drive standards for producing high-quality code, conduct thorough peer reviews, and proactively provide constructive feedback to other team members on their code and lead the documentation as a service approach for data models and ETLs documentation.
Data Security and Compliance: Implement and enforce data security standard methodologies, ensuring the protection of sensitive information and compliance with relevant regulations.
Automation and DevOps: Implement various automations and DevOps practices to streamline the deployment, configuration, and management of data lake and data warehouse solutions.

Requirements
Proven experience in leading teams to deliver robust data models, analytics frameworks, and processes, and providing technical guidance for optimal data product solutions.
Solid programming experience with Python/PySpark along with proficiency in SQL
Experience building data lake and data warehouse solutions on cloud services like Databricks on Azure with Data as a Service (DaaS) model.
Solid grasp of data lake and data warehouse concepts, analytics architectural patterns, coding standards, code reviews, version control, and CI/CD practices.
Expertise in ETL and ELT frameworks for large-scale real-time and batch data processing, with hands-on experience in orchestration tools like Airflow and dbt.
Experience implementing enterprise BI tools like Tableau for visualization and dashboard reporting
Familiarity with distributed processing and stream processing frameworks
Ability to provide clear input, guide, and opportunities to help engineers develop and advance.
Knowledge of cybersecurity principles and practices.

What's in it for you
We're committed to providing a comprehensive benefits package that takes care of you - both in and out of work. Our benefits include an annual bonus scheme of up to 20% of base salary, holiday starting at 25 days plus a personal day, private medical insurance, and more.

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