Senior Data Analytics Engineer
Role details
Job location
Tech stack
Job description
The Senior Analytics Engineer leads the development and optimisation of our advanced analytics ecosystem, ensuring that data is not only fit for purpose but also robustly designed for scalability, reusability, and actionable insights. This role bridges technical expertise and strategic vision to deliver enterprise-grade data solutions, supporting high-impact business use cases across multiple domains ., To shape and manage future direction of easyJet's Data Engineering practice, focused on defining, designing and deploying critical analytical pipelines supporting high-quality and reuseable data assets:
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Define and drive the future direction of data engineering and analytics practices, ensuring alignment with business goals and technological advancements.
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Design and implement sophisticated data pipelines and transformations, delivering curated, high-quality datasets for advanced analytics, reporting, and AI/ML applications.
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Act as a technical leader and mentor to Analytics Engineers, BI Analysts, and Data Scientists, ensuring cohesive methodologies and enhancing organisational data literacy across the business domains.
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Serve as a senior technical Data Steward, championing best practices in data governance, discoverability, and usage, while ensuring end-to-end documentation and observability of analytical pipelines.
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Leads collaboration with BI Analysts and Data Scientists to refine methodologies, enhance reporting, and deliver scalable, production-ready feature engineering code.
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Drives engagement with business stakeholders, effectively communicating complex technical concepts in a clear, accessible manner to align analytics engineering initiatives with strategic goals., The Senior Analytics Engineer manages data flow in the data lakehouse, ensuring well-structured, high-quality data for analysis and strategic decision-making. Key responsibilities include designing scalable data architectures in conjunction with Domain and Product Data Architects, overseeing data pipeline development, and maintaining data integrity. This role involves collaboration with Domain and Business Data Stewards to align data solutions with organizational objectives. Below are the key technical skills needed by an Senior Analytics Engineer
Requirements
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Advanced SQL expertise is essential for querying, transforming, and managing data within databases to support business insights. Proven experience in developing and optimising ETL/ELT pipelines, particularly with tools like DBT, ensures efficient data transformation and modelling.
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A strong understanding of data modelling techniques, including star and snowflake schemas, is critical for structuring data for analysis. Proficiency in cloud platforms, such as AWS and GCP, with hands-on experience in services like Databricks, Redshift, BigQuery, and Snowflake, is highly valued.
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Advanced Python skills for data manipulation, automation, and scripting, using libraries like Pandas and NumPy, are necessary for effective data engineering. Expertise in managing and optimising data architectures within data warehouse and lakehouse environments is a core requirement.
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Proficiency in version control tools like Git ensures effective collaboration and management of code and data models. Experience with workflow automation tools, such as Apache Airflow, is crucial for streamlining and orchestrating complex data processes.
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Skilled at integrating data from diverse sources, including APIs, databases, and third-party systems, ensuring seamless connectivity. A strong commitment to data quality assurance is demonstrated through rigorous validation and monitoring processes throughout the data pipeline.
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Strong problem-solving abilities are essential for diagnosing and resolving pipeline issues while optimising performance for scalability. Knowledge of analytics platforms, such as Tableau and ThoughtSpot, ensures compatibility with data visualisation and reporting requirements .
Benefits & conditions
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Competitive base salary
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Up to 20% bonus
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25 days holiday
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BAYE, SAYE & Performance share schemes
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7% pension
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Life Insurance
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Work Away Scheme
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Flexible benefits package
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Excellent staff travel benefits
About easyJet
At easyJet our aim is to make low-cost travel easy - connecting people to what they value using Europe's best airline network, great value fares, and friendly service.
It takes a real team effort to carry over 90 million passengers a year across 35 countries. Whether you're working as part of our front-line operations or in our corporate functions, you'll find people that are positive, inclusive, ready to take on a challenge, and that have your back. We call that our 'Orange Spirit', and we hope you'll share that too.