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Data Engineer

View all Jobs from Eden Scott
Location
Edinburgh, City of Edinburgh, United Kingdom
Salary
TBD
Job type
Full Time
Category
Other
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Job Title:

Data Engineer

Department:

IT

T & C Role:

SMCR Category:

Conduct

Reports to:(Position)

Head of IT

If Temp Hire, Contract Duration:

Job Purpose:

The Data Engineer will be expected to be involved in the design, delivery and support of all aspects of the Data & Analytics platform including data model design, ETL development, integration and governance.

Responsibilities:

Summary
  • Design, develop, document and implement end-to-end data pipelines and integration processes.
  • Maintain and enhance the data schema to support reporting and dashboard delivery.
  • Deliver best practice in data management whilst adhering to all data-related standards and procedures.
  • Involved in knowledge transfer and the creation and maintenance of documentation.
  • Work with respective data governance designees to ensure a consistent approach to data management and governance including lineage, glossary and data quality.
  • Potentially manage own team of staff in the future reporting directly as appropriate.
  • Liaise with business teams on prioritisation of work.
  • Liaise with internal BNYM teams and external companies.
  • Liaise with and assist external auditors as and when required.
  • Adherence to company procedures and standards.


Person Specification:

Competencies
  • Results: Action; Accountability; Execution

• People: Collaboration; Feedback; Communication

• Thought: Business Insight; Client Focus; Innovates

• Self: Courage; Self-awareness; Adapts to Change

Technical Skills, Knowledge, Systems Knowledge (and associated skill level)
  • Required: Microsoft & Oracle SQL and stored procedures; working knowledge of modern cloud-based data platform technologies.
  • Desirable: Snowflake; Azure Data Factory; Azure Cloud; Microsoft Power BI; Python.


Academic/Professional Qualifications (or equivalent)
  • Educated to degree level


Additional Information:

Information Classification: Internal

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