Data Engineer - AWS | FINANCE | ERP INTEGRATION
Datatech
Location: UK - remote-first, with once a month in the office
Salary: £60,000 - £70,000 dependent on experience
Ref: J13185
Want to put your AWS data engineering experience at the heart of a major Finance and ERP transformation?
This hands-on role will see you develop a modern AWS data platform, integrate NetSuite across the organisation and help shape how critical financial data supports the business.
With several ERP projects approaching go-live, you'll be joining at an important stage. Working closely with Data and Finance, you'll turn business requirements into reliable data solutions and help shape how critical financial information flows through the organisation.
Responsibilities:
·Build scalable ETL and ELT pipelines within AWS
·Develop and optimise data models in Amazon Redshift
·Create and manage workflows using Apache Airflow
·Integrate NetSuite and other Finance data sources
·Establish trusted data-quality, monitoring and validation processes
·Own solutions from initial requirements through to production
Experience Required:
·Strong commercial Python and SQL experience
·Hands-on experience with AWS data services
·Amazon Redshift or comparable cloud data-warehouse experience
·Apache Airflow or similar orchestration experience
·Strong ETL/ELT, data-modelling and production pipeline knowledge
·The confidence to work directly with Finance and technical stakeholders
·Experience with NetSuite, ERP integration or financial data would be advantageous, particularly within an ERP implementation or Finance transformation.
This is an opportunity to take ownership, contribute to business-critical projects and help shape a modern cloud data platform.
Interested? Get in touch to find out more.
Alternatively, you can refer a friend or colleague through our referral scheme. For each relevant candidate you introduce whom we successfully place, you will be entitled to our gift or voucher scheme.
Datatech is one of the UK's leading recruitment agencies specialising in data and analytics and is the host of the critically acclaimed Women in Data event. For more information, visit (url removed)
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