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# Data Engineer

- **Company:** Infinity Quest
- **Location:** United Kingdom
- **Experience:** Expert
- **Salary:** £43,886
- **Contract:** Permanent contract
- **Skills:** JIRA, Continuous Integration, Data Architecture, Information Engineering, Extract Transform Load (ETL), Data Mining, Data Warehousing, Software Debugging, Power BI, Standard Sql, SQL Databases, Powerquery, Build Management, Os Ticket, Microsoft Fabric, Data Lineage, Star Schema, Azure Synapse Analytics, Servicenow
- **Published:** November 11, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5960623873

## About the Role

* 8 10+ years in data engineering / BI roles, ideally spanning both support/run and project delivery
 * Hands-on experience with Microsoft Fabric (Lakehouse, Data Factory/pipelines, OneLake) or strong, directly transferable Azure Synapse/Data Factory experience
 * Strong Power BI skills: data modeling, DAX, report/dashboard build and troubleshooting, Power Query
 * Strong SQL - comfortable writing, debugging and optimizing queries for data extraction, transformation and validation
 * Working knowledge of data warehousing and ETL/ELT concepts
 * Experience operating in a ticket/support environment (e.g. ServiceNow, Jira Service Management or similar) alongside project work
 * Clear written and verbal communication - able to work directly with business stakeholders, not just other engineers

What Makes You a Fit

 * You're proactive by default - you don't wait for a ticket to tell you something's wrong; you spot patterns and raise fixes before they're asked for
 * You're equally comfortable context-switching between a quick access-request fix and a multi-week dashboard build
 * You want to genuinely embed with the client's team - attending their stand-ups, understanding their priorities, and being seen as part of their data practice rather than an external vendor resource
 * You take ownership of outcomes, not just tasks, and are comfortable suggesting better ways to run the centralized data service
 * You're organized and reliable under a mixed support/project workload, with good judgment on prioritization, * Building reports and dashboards using Power BI on Fabric
 * Developing data models on Fabric-hosted data
 * Creating impactful visualizations
 * Implementing Row-Level Security (RLS)
 * CI/CD and deployment processes for Power BI solutions
 * End-to-end ownership of their implementation of Fabric, Power BI work

The client would like future candidates to demonstrate practical experience rather than focus solely on theory. They expect candidates to showcase work completed on previous projects, even if demonstrated using dummy data, including Star schema design, Semantic/data models, Report development and visualizations, Row-Level Security (RLS), Fabric data architecture, Deployment and CI/CD practices. The client may also request live modifications to reports to assess a candidate's ability to troubleshoot, Performance issues, Data modelling challenges, Security configurations, Reporting enhancements

## Description

Support & ticket resolution

 * Triage and resolve incoming tickets across the data/reporting estate - access and permissions requests, broken visuals, incorrect data, and report change requests
 * Diagnose and fix root-cause data issues in Power BI datasets and underlying Fabric pipelines, not just the symptom on the report
 * Modify and maintain existing Power BI reports and dashboards as business needs change
 * Keep documentation, data lineage and change logs up to date for anything you touch

Project contribution

 * Design and build new Power BI dashboards and data models aligned to business requirements
 * Build, optimize and maintain data pipelines and lakehouses in Microsoft Fabric
 * Write and tune SQL for data extraction, transformation and validation across source systems
 * Work alongside the client's data practice to help shape and mature their centralized data service - standards, governance, self-serve reporting and reusable data models
 * Identify recurring support themes and proactively propose fixes, automation or process changes that reduce ticket volume