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Aws senior data engineer

Leeds
Fruition Group
Data engineer
Posted: 14 June
Offer description

Job Title: Senior Data Engineer
Our client is looking for a talented Data Engineer to play a key role in their ongoing digital transformation. This full-time, permanent position offers the chance to develop the initial data strategy, design scalable pipelines, and create a data lake that will be central to their reporting initiatives. If you are experienced in managing cloud-based data infrastructures and eager to drive innovative solutions, this role is perfect for you.

Data Engineer Responsibilities
Design and maintain scalable, automated data pipelines to ingest, process, and deliver quality data across internal systems.
Lead the setup of a centralised data lake to unify data from various sources, supporting BI and analytics needs across the business.
Partner with teams across the business, including Product, Analytics, and IT, to ensure data requirements are met and that systems align with business goals.
Continuously improve data workflows by identifying optimisation and automation opportunities to enhance system performance.
Guide junior engineers by providing mentorship and fostering best practices within the data team.
~ Stay current with data engineering technologies and innovations, ensuring the infrastructure remains scalable and future-ready.


Data Engineer Requirements
~ Demonstrated experience as a Data Engineer, with a proven track record of designing and managing scalable data pipelines.

Experience in a similar capacity, with a focus on designing and implementing robust data pipelines and infrastructure.
Thorough knowledge of ETL processes, with the ability to optimize data extraction, transformation, and loading.
Extensive commercial expertise with AWS, including services like Glue, Data Catalog, R and large-scale data storage solutions such as data lakes.
Excellent analytical and problem-solving skills, with the ability to enhance and streamline complex data processes.
Influence the data strategy and define data architecture from the outset, a unique opportunity to set the direction without any pre-existing frameworks!
Flexible working arrangements, including remote work options.
Opportunities for continuous professional growth and development within a fast-growing, tech-driven company.
We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age.

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