Data Engineer - AWS | FINANCE | ERP INTEGRATION

Datatech Analytics
UK
9 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
£60,000.0 - £70,000.0
Working hours
Regular working hours

Tech stack

Airflow Amazon Web Services Data as a Services Extract Transform Load (ETL) Data Systems Data Visualization Python (Programming Language) Netsuite SQL Databases Web Analytics SAP Integration Solutions Data Pipelines
+1 more
Amazon Redshift

Job description

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., ·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

Requirements

·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.

About the company

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 www.datatech.org.uk

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