Principal Analytics Engineer

Glasgow - UK

Monthly Salary: Not Disclosed

Posted on: Yesterday

Vacancies: 1 Vacancy

Job Summary

Description

JOB SUMMARY

The Analytics Engineer plays a key role in connecting the enterprise data platform with business intelligence delivery. Operating within the organisations analytical data environment they design and maintain the structures that make curated high-quality data available for reporting and insight generation.

Working between Data Engineering and the Power BI development team this role helps build and optimise data warehouses marts and modelled tables ensuring the data layer is efficient reliable and accessible. They also lead the development and maintenance of the Enterprise Data Catalogue providing visibility and governance of structured data assets across the organisation.

This is a hands-on technical role requiring a deep understanding of data modelling performance optimisation and modern data engineering practices to enable trusted scalable and insight-ready data

Responsibilities:

Data Layer Development & Maintenance

Design build and optimise data warehouses marts and modelled tables within the enterprise data platform.
Create curated analytics-ready data structures to support business intelligence and advanced analytics.
Collaborate with Data Engineering on pipeline design and data architecture standards.
Maintain schema documentation data lineage and metadata accuracy within the Enterprise Data Catalogue.

Cross-Team Collaboration

Partner with Power BI Developers and Analysts to translate analytical needs into efficient governed data structures.
Align modelling and naming standards across the data platform and BI layers.
Work with IT architecture and governance teams to ensure compliance with security and data management policies.

Performance & Monitoring

Monitor the performance accessibility and integrity of the analytical data layer.
Implement monitoring and validation frameworks to identify and resolve data or performance issues.
Continuously optimise query performance refresh cycles and data architecture.

Governance & Documentation

Own and maintain the Enterprise Data Catalogue as the authoritative reference for curated data assets.
Document data lineage ownership and certification status to support governance and transparency.
Contribute to metadata management and data lifecycle processes.

Innovation & Continuous Improvement

Recommend and implement modern data practices that enhance scalability consistency and automation.
Support initiatives that prepare the platform for AI and Manufacturing Intelligence integration.
Stay current with emerging tools technologies and approaches in cloud data engineering and analytics.

Qualifications:

Bachelors degree in Computer Science Information Systems or related discipline.
Demonstratable experience in analytics engineering data engineering or BI development.
Proficiency in SQL and experience with data warehousing schema design and data modelling.
Strong understanding of modern cloud-based data platforms and architectures.

Skills:

Demonstrated problem solving and work prioritisation skills
Hands-on experience with Snowflake or an equivalent enterprise data platform
Familiarity with modern transformation frameworks (e.g. dbt Data Factory or equivalent)
Experience supporting BI environments such as Power BI Tableau or Looker
Understanding of metadata management data governance and CI/CD principles
Exposure to data catalogue or lineage tools
Strong collaboration and communication skills working effectively across technical and business teams
Ability to keep up to date with technology and apply it to the business strategic plan
Ability to achieve results independently or while working with others
Excellent interpersonal and communication skills with the ability to communicate effectively with end-users management and staff
Ability to handle multiple priorities involving internal customer requests and demands
Ability to excel in a cross-organisational cross-cultural global team environment
Ability to handle special assignments promptly and professionally
Sets a high standard of ethics professionalism and competency

WORKING CONDITIONS

Working conditions typical of a climate controlled and professional office environment. This role routinely uses standard office equipment such as computers phones photocopiers.

SAFETY REQUIREMENTS

All employees are required to follow the site EHS procedures and Coherent Scotland EHS standards.

QUALITY & ENVIRONMENTAL RESPONSIBILITIES

Depending on location this position may be responsible for the execution and maintenance of the ISO 9000 and/or other applicable standards that may apply to the relevant roles and responsibilities within the Quality Management System and Environmental Management System.

CULTURE COMMITMENT

Ensure adherence to companys values (ICARE) in all aspects of your position at Coherent:

Integrity Create an Environment of Trust

Collaboration Innovate Through the Sharing of Ideas

Accountability Own the Process and the Outcome

Respect Recognize the Value in Everyone

Enthusiasm Find a Sense of Purpose in Work

Required Experience:

Staff IC

DescriptionJOB SUMMARYThe Analytics Engineer plays a key role in connecting the enterprise data platform with business intelligence delivery. Operating within the organisations analytical data environment they design and maintain the structures that make curated high-quality data available for repor...