Azure Data Architect

London
1 week ago
Create job alert

My client is based in the London area are currently looking to recruit for an experienced Azure Data Architect (Databricks Specialist) to join their team. They are one of the leaders within the Insurance space. They are currently going through a period of growth and are looking for an experienced Data Architect to join their team. They are backed by a huge Multi National equity firm who are looking to bolster my clients financial position. They are expected to see year on year growth, which will allow them to implement and utilise the most in demand and cutting edge technology on the market right now.

Your role will include:

Responsible for designing and implementing effective database solutions and models to store and retrieve data including Data Lake and Data Warehousing.
Assess database implementation procedures to ensure they comply with GDPR and data compliance.
Guide, influence and challenge the technology teams and stakeholders to understand the benefits, pros and cons of solution options.
Agree and set the technical direction for the data platform landscape and solutions, for the short and long term, in collaboration with delivery and engineering teams.
Design conceptual and logical data models and flowcharts.

My client is providing access to;

Hybrid Working,
28 Days Holiday, Plus Bank Holiday
Private Medical Health
Pension Scheme
And More...

For this role, they are looking for a candidate that has experience in…

Extensive experience in implementing solutions around Databricks, Azure Data Factory, Synapse,
Excellent understanding of Microsoft SQL Server, Data Modelling, Data Marts, Dimensional Modelling,
An understanding of SQL/database management,
Strong understanding of the wider Azure stack (ADF, Synapse, ADLS) and Data Modelling (ERwin, ER Studio).
Strong hands-on experience with Databricks is a MUST.

This role is an urgent requirement, there are limited interview slots left, if interested send an up to date CV to Shoaib Khan - (url removed) or call (phone number removed) for a catch up in complete confidence.

Frank Group's Data Teams offer more opportunities across the UK than any other recruiter We're the proud sponsor and supporter of SQLBits, AWS RE:Invent, Power Platform World Tour, the London Power BI User Group, Newcastle Power BI User Group and Newcastle Data Platform and Cloud User Group

Related Jobs

View all jobs

Data Architect

Data Architect

Senior Data Architect - Databricks

Microsoft Data Solution Architect

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

Data Engineer - Azure

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Portfolio Projects That Get You Hired for Data Engineering Jobs (With Real GitHub Examples)

Data is increasingly the lifeblood of businesses, driving everything from product development to customer experience. At the centre of this revolution are data engineers—professionals responsible for building robust data pipelines, architecting scalable storage solutions, and preparing data for analytics and machine learning. If you’re looking to land a role in this exciting and high-demand field, a strong CV is only part of the puzzle. You also need a compelling data engineering portfolio that shows you can roll up your sleeves and deliver real-world results. In this guide, we’ll cover: Why a data engineering portfolio is crucial for standing out in the job market. Choosing the right projects for your target data engineering roles. Real GitHub examples that demonstrate best practices in data pipeline creation, cloud deployments, and more. Actionable project ideas you can start right now, from building ETL pipelines to implementing real-time streaming solutions. Best practices for structuring your GitHub repositories and showcasing your work effectively. By the end, you’ll know exactly how to build and present a portfolio that resonates with hiring managers—and when you’re ready to take the next step, don’t forget to upload your CV on DataEngineeringJobs.co.uk. Our platform connects top data engineering talent with companies that need your skills, ensuring your portfolio gets the attention it deserves.

Data Engineering Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

The world of data engineering has rapidly emerged as a critical pillar for businesses, enabling them to extract insights from vast amounts of information and power data-driven decision-making. From building scalable ETL pipelines to designing real-time streaming infrastructures and cloud data warehouses, data engineers are in high demand across every industry—from tech giants to healthcare providers to financial institutions. If you’re seeking a data engineering role, you may already know that interviews can be rigorous, spanning software development, database design, distributed systems, and cloud computing. Many organisations need engineers who can handle both traditional batch processing and cutting-edge real-time analytics frameworks, all while keeping data secure, consistent, and optimised. In this guide, we’ll explore 30 real coding & system-design questions that often come up in data engineering interviews. From classic coding challenges to architecture-focused scenarios, these questions will help you gauge your readiness and build confidence before stepping into that interview room. If you’re actively searching for new data engineering opportunities in the UK, www.dataengineeringjobs.co.uk is a fantastic resource. It features a wide range of vacancies—from junior data engineering positions to senior-level cloud architecture roles. Let’s dive in so you can approach your next interview with insight and poise.

Negotiating Your Data Engineering Job Offer: Equity, Bonuses & Perks Explained

How to Secure a Compensation Package That Reflects Your Value in the UK’s Fast-Growing Data Ecosystem Introduction Data engineering has quickly become the backbone of modern business operations. Whether powering analytics platforms, migrating data to the cloud, or building pipelines for machine learning, data engineers enable organisations to extract meaningful insights from vast datasets. With companies across every sector looking to harness data for competitive advantage, mid‑senior data engineers are in especially high demand—and that spells opportunity for you to negotiate a compelling compensation package. Yet for many professionals, negotiations around a job offer still focus primarily on salary, leading them to overlook valuable components such as equity, performance bonuses, and perks that can collectively add significant value to your overall deal. In the world of data engineering, it’s not uncommon to see advanced compensation packages involving shares, annual or quarterly bonuses, and a range of benefits that support both your technical growth and work-life balance. This guide aims to be your comprehensive manual for negotiating a data engineering job offer in the UK. We’ll cover why negotiation isn’t just about your monthly paycheck, explore how equity works in data-centric organisations, break down different bonus structures, and highlight perks that matter most for mid‑senior professionals. By the end, you’ll have the knowledge—and the confidence—to land a package that fully reflects your critical role in unlocking the power of data.