Senior AWS Data Engineer – Sports Analytics Platform – London (Hybrid)
Tech stack:
Senior AWS Data Engineer, AWS, Data Modelling, S3, Data Architecture, Lambda, Athena, SQL, Python, C#, Snowflake, Data Pipelines, Architecture, Cloud, Data Engineering, DevOps Our client, an exciting and rapidly expanding sports analytics company based in London Bridge, is seeking a Senior AWS Data Engineer with a strong data architecture background to join their team on a permanent basis. This is a crucial role in driving the structural integrity and scalability of the company’s data engineering processes, ensuring the platform is robust and capable of growing with the business. As a Senior AWS Data Engineer, you will be responsible for designing and optimising scalable data pipelines, ensuring that the data systems are architecturally sound and maintainable. You’ll play a key role in improving data structures, documenting processes, and working closely with other teams to implement best practices in data modelling, debugging, and optimisation. Key Responsibilities:
Lead the development of scalable, architecturally sound data pipelines, ensuring AWS data structures (S3, Lambda, Athena) are optimised for performance and stability. Design and implement data models that are fit for various use cases, ensuring structural integrity across the data engineering landscape. Debug and optimise data pipelines and queries to improve performance and address bottlenecks. Maintain clean, well-documented systems, with a focus on logging and reproducibility. Collaborate with development and engineering teams to enhance the overall data architecture and ensure scalability of the platform. Essential Skills:
Strong background in data architecture and data modelling, with proven experience in designing scalable data pipelines. Deep expertise in AWS technologies, including S3, Lambda, and Athena. Proficiency in SQL, with the ability to optimise complex queries. Passion for clean systems, with a focus on documentation and maintaining reproducibility. Enthusiasm for building scalable, efficient systems that are designed for growth and maintainability. Desirable Skills:
Experience with Snowflake. Knowledge of Python or C#. An interest in sports analytics and working within a data-driven environment. Location:
London (Hybrid – 1-2 days a week in the office) Salary:
£80,000 - £90,000 + Bonus + Benefits This is an outstanding opportunity for a Senior AWS Data Engineer with a passion for data architecture to make a significant impact in an innovative sports analytics company. If you're excited about working in a fast-paced, data-driven environment, we’d love to hear from you! To apply for this position, please send your CV to Rishi Chudasama at Noir.
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Senior AWS Data Engineer, AWS, Data Modelling, S3, Data Architecture, Lambda, Athena, SQL, Python, C#, Snowflake, Data Pipelines, Architecture, Cloud, Data Engineering, DevOps Our client, an exciting and rapidly expanding sports analytics company based in London Bridge, is seeking a Senior AWS Data Engineer with a strong data architecture background to join their team on a permanent basis. This is a crucial role in driving the structural integrity and scalability of the company’s data engineering processes, ensuring the platform is robust and capable of growing with the business. As a Senior AWS Data Engineer, you will be responsible for designing and optimising scalable data pipelines, ensuring that the data systems are architecturally sound and maintainable. You’ll play a key role in improving data structures, documenting processes, and working closely with other teams to implement best practices in data modelling, debugging, and optimisation. Key Responsibilities:
Lead the development of scalable, architecturally sound data pipelines, ensuring AWS data structures (S3, Lambda, Athena) are optimised for performance and stability. Design and implement data models that are fit for various use cases, ensuring structural integrity across the data engineering landscape. Debug and optimise data pipelines and queries to improve performance and address bottlenecks. Maintain clean, well-documented systems, with a focus on logging and reproducibility. Collaborate with development and engineering teams to enhance the overall data architecture and ensure scalability of the platform. Essential Skills:
Strong background in data architecture and data modelling, with proven experience in designing scalable data pipelines. Deep expertise in AWS technologies, including S3, Lambda, and Athena. Proficiency in SQL, with the ability to optimise complex queries. Passion for clean systems, with a focus on documentation and maintaining reproducibility. Enthusiasm for building scalable, efficient systems that are designed for growth and maintainability. Desirable Skills:
Experience with Snowflake. Knowledge of Python or C#. An interest in sports analytics and working within a data-driven environment. Location:
London (Hybrid – 1-2 days a week in the office) Salary:
£80,000 - £90,000 + Bonus + Benefits This is an outstanding opportunity for a Senior AWS Data Engineer with a passion for data architecture to make a significant impact in an innovative sports analytics company. If you're excited about working in a fast-paced, data-driven environment, we’d love to hear from you! To apply for this position, please send your CV to Rishi Chudasama at Noir.
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