Data Engineer

UST; England; Hybrid; GBP 70,000 - 90,000; Full time

Job summary

A leading technology company is looking for an experienced Data Engineer to design and optimize data solutions, specifically utilizing Power BI. The ideal candidate will implement robust data pipelines and maintain high-performance semantic models for reporting. Candidates should have significant experience in BI roles and a strong proficiency in Power BI and SQL. The position offers a hybrid work model based in London. Only applicants that best match these criteria will be contacted.

Qualifications

• 10+ years of experience in BI / Data Engineering roles.
• Advanced expertise in Power BI and DAX.
• Strong knowledge of data modeling principles.

Responsibilities

• Build and optimize Power BI Semantic Models for large datasets.
• Design and implement robust data pipelines from various systems.
• Create clean dashboards and perform unit testing.

Skills

Power BI

DAX

SQL

Data Engineering

Data validation

Problem-solving

Tools

Power BI Desktop

Power BI Service

Tabular Editor

DAX Studio

Snowflake

Job 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.