BI Specialist (SQL / Azure) - Perm (FTC) - Hybrid

London
7 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data engineer

Databricks Data Engineer

Fabric Data Engineer - Hybrid - 75k - Winchester

Data Engineer

BI Manager (Azure Data Lake, Fabric, DW)

Role - BI Specialist (SQL / Azure)

Industry - Automotive

Type - Fixed term contract (3 months, extension thereafter)

Rate - £75,000 per annum, pro rata

Location - Hybrid, 50% of the month in the office (London, Victoria)

PURPOSE OF POST:

Experienced Microsoft / Azure Business Intelligence (BI) Specialist to design, build, and support BI solutions across the Microsoft stack, including SSAS, SSRS, and Power BI. The post holder will play a key role in delivering high-quality, enterprise-grade analytics for platforms, while also enabling integration with third-party reporting tools such as Tableau and Amazon QuickSight. The successful candidate will have strong proficiency in SQL and DAX, a solid understanding of Azure data architecture, and experience working in a cross-functional team comprising engineers, analysts, and product stakeholders.

QUALIFICATIONS / SKILLS / ATTRIBUTES

Microsoft BI Stack

Strong hands-on experience with SSAS (both multidimensional and tabular model development)
Experience developing and maintaining SSRS data models and paginated reports
Expertise with Power BI, including Power Query, DAX, measures, and visual designAzure Data Platform

Familiarity with Azure SQL DB, Synapse Analytics, Data Factory, and Azure Analysis Services
Experience managing data refresh strategies, gateways, and Power BI service deployments
Ability to design secure reporting environments with row-level security, role-based access, and Azure AD integrationIntegration & Interoperability

Experience connecting Microsoft BI tools with Tableau, Amazon QuickSight, or similar platforms
Understanding of REST APIs, Power BI Embedded, and programmatic data access patternsData Engineering & Modelling

Strong T-SQL skills for data retrieval and performance tuning
Knowledge of dimensional modelling, star/snowflake schemas, and data warehouse best practices Preferred Qualifications

Microsoft certifications such as DA-100, DP-500, or MCSE: BI
Familiarity with CI/CD for BI assets (e.g. Git integration for SSAS/Power BI)
Exposure to DevOps pipelines for automated deployments
Awareness of data cataloguing, data lineage, and governance standards

MAIN DUTIES INCLUDE:

BI Development & Reporting

Design, develop, and maintain SSAS cubes (tabular and multidimensional) aligned to reporting requirements
Build SSRS data models and reports, ensuring scalability and performance
Develop interactive Power BI dashboards using complex business logic in DAXIntegration & Interoperability

Enable interoperability with third-party tools like Tableau and Amazon QuickSight
Manage secure integrations between Power BI and Azure-hosted data sourcesPlatform Support & Governance

Configure row-level security, user access roles, and workspace settings
Monitor performance across data models and reports; implement best practices for query optimisation
Contribute to the creation of documentation, data standards, and governance artefactsCollaboration & Continuous Improvement

Work closely with data engineers and analysts to define and evolve reporting architecture
Support continuous delivery of BI assets via automated pipelines and DevOps tooling
Drive improvements in data quality, usability, and user self-serviceGCS is acting as an Employment Agency in relation to this vacancy

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Neurodiversity in Data Engineering Careers: Turning Different Thinking into a Superpower

Every modern organisation runs on data – but without good data engineering, even the best dashboards & machine learning models are built on sand. Data engineers design the pipelines, platforms & tools that make data accurate, accessible & reliable. Those pipelines need people who can think in systems, spot patterns in messy logs, notice what others overlook & design elegant solutions to complex problems. That is exactly why data engineering can be such a strong fit for many neurodivergent people, including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a data engineering career, you might have heard comments like “you’re too disorganised for engineering”, “too literal for stakeholder work” or “too distracted for complex systems”. In reality, the traits that can make traditional office environments hard often line up beautifully with data engineering work. This guide is written for data engineering job seekers in the UK. We’ll cover: What neurodiversity means in a data engineering context How ADHD, autism & dyslexia strengths map to common data engineering tasks Practical workplace adjustments you can request under UK law How to talk about your neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in data engineering – & how to turn “different thinking” into a genuine professional superpower.

Data Engineering Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the data engineering jobs market in the UK is evolving fast. Almost every organisation is talking about AI, analytics & data-driven decision making – but behind all that sits the data engineering function. Cloud costs, complex data estates, stricter regulation & the explosion of AI workloads are all changing how data platforms are built & run. Some companies are tightening budgets & consolidating teams, while others are doubling down on modern data stacks, lakehouses & real-time pipelines. Whether you are a data engineering job seeker planning your next move, or a recruiter building data teams, understanding the key data engineering hiring trends for 2026 will help you stay ahead.

Data Engineering Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data engineering hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise reliable pipelines, modern lakehouse/streaming stacks, data contracts & governance, observability, performance/cost discipline & measurable business outcomes. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for platform‑oriented DEs, analytics engineers, streaming specialists, data reliability engineers, DEs supporting AI/ML platforms & data product managers. Who this is for: Data engineers, analytics engineers, streaming engineers, data reliability/SRE, data platform engineers, data product owners, ML/feature‑store engineers & SQL/ELT specialists targeting roles in the UK.