Data Engineer

CompanyUST

LocationLondon Area, United Kingdom

Posted At12/12/2025

UK Visa Sponsorship Analytics

Occupation Type

Telecoms and related network installers and repairers

Occupation Code Skill LevelMedium Skilled

Sponsorship Salary Threshold

£41,700 (£21.38 per hour)

Standard minimum applies

Above analytics are generated algorithmically based on job titles and may not always be the same as the company's job classification. You can also check detailed occupation eligibility, and salary criteria on our UK Visa Eligible Occupations & Salary Thresholds page.

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Description

This is a proactive pipelining initiative. We are not hiring for this role at the moment; however, we are building a pipeline of strong, qualified candidates. Once the position officially opens, we will reach out to shortlisted professionals to begin the interview process.

Location: London

Work mode: hybrid

About the Role:

We are seeking an experienced Data Engineer with deep expertise in Power BI and enterprise-scale reporting environments. The ideal candidate will be responsible for designing, optimizing, and maintaining high-performance semantic models, delivering end-to-end BI solutions, and supporting distributed reporting across multiple business domains.

Key Responsibilities:

Power BI Development & Engineering

Build and optimize Power BI Semantic Models for large datasets (4–5GB+).
Develop high-performance dashboards using Power BI Desktop & Power BI Service.
Write advanced, performance-optimized DAX

following best practices.

Leverage Power Query (M) for scalable data ingestion and transformation.

Perform deep model optimization using Tabular Editor, DAX Studio, and performance analyzer tools.

Apply strong understanding of the Power BI calculation engine and performance tuning techniques.

Data Engineering & Integration

Design and implement robust data pipelines from Snowflake, SQL Server, SharePoint, and other enterprise systems.
Ensure data accuracy, consistency, and reliability across distributed reporting ecosystems.
Conduct data validation, quality checks, and impact assessments for model and logic changes.
Develop scalable tabular models and optimized reporting structures

Analytics, Reporting & Governance

Manage reporting across multiple teams/domains in a structured, enterprise BI environment.
Create clean, intuitive dashboards and wireframes aligned with business needs.
Perform unit testing and follow structured change management processes.

Support large-scale, multi-entity reporting use cases (preferred).

Required Skills & Experience:

10+ years of experience in BI/Data Engineering roles.
Advanced expertise with: Power BI Desktop & Service, Power BI Semantic Models, DAX (advanced, optimized), Power Query (M), SQL (strong proficiency), Tabular Editor & DAX Studio
Experience working with large datasets and complex enterprise reporting environments.
Strong knowledge of data modeling principles and high-performance tabular architecture.
Excellent communication, problem-solving, and attention to detail.

We’re grateful for your interest in joining our team. Kindly note that only applicants whose experience and qualifications most closely align with the role will be contacted for the next steps. Thank you for your understanding.