Data Engineer

Company:  Investigo Change Solutions
Location: Leamington Spa
Closing Date: 30/11/2024
Hours: Full Time
Type: Permanent
Job Requirements / Description

Data Engineer

Permanent

Hybrid working - 3 days a week on site

Location: Leamington Spa, Warwick

As the Data Engineer, you will deliver data products supporting a wide range of business demands.

Working with the Data Architect, you will be responsible for the implementation and management of data solutions on our cloud infrastructure.

You will create and maintain data pipelines, manage storage solutions, undertake data processing, Datamodelling and enabling data to support effective decision making

Key areas of responsibilities:

  • Work with the data architect to deliver data solutions in line with the overall strategy
  • Ensure the success of enterprise-level application data architecture for a wide range of business areas eg CRM, PLM, ERP, Aftersales/Dealer Management, Finance & HRIS
  • Management of data acquisition and integration for Azured Data Lake covering Azure Data Bricks, ADF and any required 3rd party tools
  • Develop and implement key components as needed to create testing criteria to guarantee the fidelity and performance of data architecture
  • Collaborate with project managers and business unit leaders for all projects involving enterprise data

Key skills we are looking for:

  • Experience managing and delivering SQL Server solutions including Azure SQL with strong understanding of relational data structures, theories, principles, and practices
  • Experience of implementing and delivering Azure solutions for ETL/ELT, Lambda and Kappa architectures
  • Experience with establishing changed data capture (CDC) solutions where source systems do not support this
  • Working technical knowledge of applications and platforms, including Azure, AWS, SAP & Salesforce
  • Demonstrated expertise with repository creation, and data and information system life cycle methodologies
  • Experience designing and delivering analytical solutions eg DWH, Business Analytics, Statistics and Machine Learning

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