At a Glance
- Tasks: Lead the evolution of core data platforms using Microsoft Azure technologies.
- Company: Join a thriving tech company focused on modernising data solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment with excellent career advancement potential.
- Why this job: Make a real impact in data engineering and drive innovation in analytics.
- Qualifications: Experience with Microsoft Azure data platforms and strong SQL skills required.
This is a new and exclusive opportunity for a Senior Data Engineer with strengths in Microsoft Azure data to be a key lead in strengthening, evolving, and modernising our core data platforms.
Job details:
- Technical Stack: Microsoft Azure data
- Location: London or Glasgow with 1 day a week in the office
- Industry: STEM Technology
- Permanent role salary: £50,000 - £70,000 dependant on skills and location
Requirements:
- Strong experience as a Senior Data Engineer in enterprise data environments.
- Technical stack: Microsoft Azure data platforms, including Azure Synapse or equivalent data platform, Azure SQL Server, Azure Data Factory, Azure DevOps, Fabric.
This is a new opportunity to join a thriving team to be a key voice in modernising core data platforms across bronze, silver and gold layers, ensuring our data is reliable, scalable, secure, and ready to power advanced analytics, AI-driven insights, and executive decision making.
We are transitioning from a traditional Azure Synapse-centric estate toward a Microsoft Fabric and OneLake-based architecture, embracing modern engineering patterns such as serverless storage, medallion design, Spark-based transformations, DBT-driven analytics engineering, and fully automated CI/CD.
You will take joint ownership of existing data pipelines and analytics platforms, ensuring they are stable, performant, and trusted by downstream consumers.
Key responsibilities include:
- Support and enhance ingestion and integration pipelines sourcing data from:
- MS Dynamics CRM
- MS Dynamics Finance & Operations
- SAP SuccessFactors
- A range of bespoke and third-party systems
- Develop and maintain the Azure Synapse-based ingestion and staging layer, including:
- Synapse Link integrations.
- Synapse data pipelines for orchestration and movement.
- Support the Enterprise Data Warehouse (EDW) built on Azure SQL Server, including:
- Transformations using stored procedures, views, and DBT.
- Clear separation of bronze, silver, and gold layers aligned to a medallion architecture.
- Collaborate with BI and Analytics teams to ensure Gold layer data models appropriately support:
- Power BI semantic models
- Executive dashboards and operational reporting
This is a really interesting role in a thriving business.
KNOWLEDGE & EXPERIENCE
- Strong experience as a Senior Data Engineer in enterprise data environments.
- Strategic thinker with experience supporting the delivery of a strategy.
- Strong stakeholder engagement skills at all levels of an organisation.
- Hands-on expertise with Microsoft Azure data platforms, including:
- Azure Synapse or equivalent data platform
- Azure SQL Server
- Azure Data Factory
- Azure DevOps
- Practical delivery experience using medallion architectures (Bronze / Silver / Gold).
- Strong SQL skills and experience with DBT.
Senior Data Engineer Microsoft Fabric Azure data in City of London employer: Huxley Associates
As a Network Support Engineer with our client in Chester, you will be part of a dynamic team within the financial services sector, known for its commitment to innovation and employee development. The company fosters a collaborative work culture that values continuous learning and offers competitive daily rates, alongside opportunities for professional growth in a hybrid working environment. Join us to make a meaningful impact while enjoying the unique advantages of working in a vibrant city like Chester.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer Microsoft Fabric Azure data in City of London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Huxley Associates!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data Engineer Microsoft Fabric Azure data at Huxley Associates.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Huxley Associates.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Engineer Microsoft Fabric Azure data at Huxley Associates, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Data Engineer Microsoft Fabric Azure data in City of London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Huxley Associates, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Huxley Associates. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Huxley Associates
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Huxley Associates!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
