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Senior Data Engineer
2 months ago
Senior Data Engineer
Middlesbrough, Hybrid (2 days a week from home)
My Client, a world leader in the provision of industrial services, generating high-added value solutions principally for the Oil & Gas, Energy, Power Generation, Process, Environment and Construction sectors, are looking for Data Engineer professionals to join their team in Middlesbrough.
This role is responsible for collecting, managing, and converting raw data into usable information for data scientists and business analysts to interpret. This organisation has a mature reporting environment that is aligned with the Microsoft application stack and works using the Agile Scrum Development methodology.
Key Responsibilities:
- Create and evolve of secure data sets for all systems that you make available to Key users in the production of their reports.
- Undertake ETL integrations and support tasks using ADF and other technologies
- Coach and mentor junior Data professionals
- Testing and modifying new data sets and reports created by Key Users to ensure that that they operate reliably, and changes do no disrupt operations.
- Resolve data integrity, quality and robustness challenges with legacy / system data to encourage quality and transformation reporting
- Develop and update BI process maps that form the basis of the system Architecture and configuration.
Key Experience:
- Experience as a senior data engineer or related role
- Experience with SQL Management Server, SSRS, SSIS and other related systems
- Experience with Microsoft Azure stack and related technology such as ADF, Logic Apps, Data Lake, Data Bricks, Power Query etc
- Experience in Low code MS related technologies, SharePoint, Nintex, Power Apps, Power Bi etc
- ETL Related experience using SSIS, ADF or similar products to undertake complex integrations.
- Experience in the role of a DBA or DBA related activities
If you are a Data professional, looking for a new opportunity, this is an excellent opportunity to join a global organisation who are looking to grow their data engineering team.
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