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As a Senior Analytical Engineer, you will be expected to: Technical expertise: Contribute to the design and implementation of complex data modelling solutions. Maintain a deep understanding of best practices in data modelling and data transformation. Strategic collaboration: Partner with business stakeholders to translate strategic objectives into actionable data initiatives. Clearly communicate data insights to leadership and influence data-driven decision making. Leading data initiatives: Own and drive complex data projects from conception to implementation. Ensure the successful delivery of these projects to meet business needs, and that best practices of software development in data workflows are being applied. Mentoring and coaching: Foster a culture of learning and development by mentoring junior Analytical Engineers. Provide guidance and support to help them excel in their roles. Staying at the forefront: Proactively identify and implement emerging data technologies and trends to futureproof the data infrastructure and maximise its impact.
Job Responsibility:
Technical expertise: Contribute to the design and implementation of complex data modelling solutions
Maintain a deep understanding of best practices in data modelling and data transformation
Strategic collaboration: Partner with business stakeholders to translate strategic objectives into actionable data initiatives
Clearly communicate data insights to leadership and influence data-driven decision making
Leading data initiatives: Own and drive complex data projects from conception to implementation
Ensure the successful delivery of these projects to meet business needs, and that best practices of software development in data workflows are being applied
Mentoring and coaching: Foster a culture of learning and development by mentoring junior Analytical Engineers
Provide guidance and support to help them excel in their roles
Staying at the forefront: Proactively identify and implement emerging data technologies and trends to futureproof the data infrastructure and maximise its impact
Requirements:
Advanced expertise in SQL data querying and manipulation
In-depth knowledge and ability to optimise complex queries
Extensive experience in designing, implementing, maintaining, and optimising complex data models using Kimball dimensional models
Proficiency in a data transformation tool like dbt (or similar tools) to build and manage data pipelines
Solid experience and leadership in implementing and maintaining orchestration tools like Airflow for data scheduling and automation
Exceptional communication and interpersonal skills to lead and collaborate effectively with cross-functional teams
Proven track record of identifying and solving complex data challenges with innovative and efficient solutions
Nice to have:
Experience of Python is a plus
Data Vault is a plus
Experience designing and deploying solutions using Apache Spark for large-scale data processing is a plus
Experience managing data solutions on cloud platforms like AWS, Azure, or GCP is a plus