Data Engineer: Azure & Fabric Data Platform

Sanderson; City of Edinburgh; On-site; GBP 40,000 - 60,000; Full time

Benefits offered by this job

33 days holiday including bank holidays

Annual discretionary bonus scheme

Career development opportunities

Access to discounts on goods and services

Cycle to Work scheme

Wellbeing programme

Contributory pension scheme

Job summary

Sanderson is seeking a Data Engineer in Edinburgh with experience in data engineering and analytics. You will design, develop, and deliver solutions to optimize and transform data, working with Azure infrastructure. Your role includes implementing best practices and collaborating within agile teams.

The ideal candidate will have strong SQL skills, a thorough understanding of data governance, and a background in delivering ETL/ELT solutions. This position offers extensive career development opportunities within a supportive environment.

Qualifications

• Prior experience in a Data Engineering role.
• Understanding of data governance concepts.
• Familiarity with GDPR regulations.

Responsibilities

• Help build and implement best practices in engineering.
• Maintain clear code and documentation for projects.
• Use CI/CD frameworks to optimise solutions.

Skills

Data governance concepts

Analytical skills

SQL proficiency

Experience with big data platforms

ETL/ELT solutions implementation

CI/CD processes

Agile methodologies

Education

Degree level education or equivalent experience

Tools

SQL

SSIS

MS Fabric

CI/CD tools

Job description

Sanderson is seeking a Data Engineer in Edinburgh with experience in data engineering and analytics. You will design, develop, and deliver solutions to optimize and transform data, working with Azure infrastructure. Your role includes implementing best practices and collaborating within agile teams.

The ideal candidate will have strong SQL skills, a thorough understanding of data governance, and a background in delivering ETL/ELT solutions. This position offers extensive career development opportunities within a supportive environment.