At a Glance
- Tasks: Design and implement modern data integration solutions using Microsoft Fabric and Azure.
- Company: Join RSM UK, a leader in VAT compliance with a collaborative team culture.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic role with opportunities to collaborate across multiple projects.
- Why this job: Make a real impact by delivering innovative data solutions for diverse clients.
- Qualifications: Experience in data engineering and strong problem-solving skills required.
The predicted salary is between 45000 - 55000 £ per year.
Senior Data Engineer – Data Integration & Microsoft Fabric Make an Impact at RSM UKStep into a key position within VAT compliance at RSM UK as a Senior Data Engineer in our Global VAT Team (GVAT).
As a Senior Data Engineer to join our growing Data Services team, you’ll be delivering modern data integration solutions for a diverse portfolio of clients.
This is a hands-on role that combines technical delivery with client engagement.
You'll work closely with customers to understand their business processes, existing data landscape and integration requirements before designing and implementing practical cloud-based solutions using Microsoft Fabric and Microsoft Azure.
You'll play an active role throughout the project lifecycle—from discovery and solution design through to implementation, deployment and ongoing support—ensuring every solution is secure, scalable, reliable and easy to maintain.
You will make an impact by: Building strong relationships with clients by understanding their business processes, systems and data integration requirements.
Leading discovery workshops and technical discussions to gather requirements and translate business needs into practical, scalable solutions.
Designing, developing and maintaining data integration solutions using Microsoft Fabric and Microsoft Azure.
Building secure REST API and SFTP integrations between internal applications and third-party platforms.
Developing and supporting Microsoft Fabric Lakehouses, Warehouses, Dataflows and Data Pipelines.
Designing and implementing ETL and ELT solutions that integrate data from SQL Server, APIs, CSV, Excel, JSON and XML sources.
Collaborating with Data Architects, Solution Architects, Business Analysts, Project Managers and delivery teams to deliver high-quality solutions.
Contributing to solution design, technical planning and implementation activities across multiple projects.
Monitoring production data solutions and investigate incidents using a structured root cause analysis approach.
Implementing improvements that enhance platform reliability, performance and maintainability.
Senior Data Engineer – Data Integration & Microsoft Fabric in Birmingham employer: RSM International
At RSM UK, we pride ourselves on being an excellent employer that fosters a collaborative and innovative work culture. As a Senior Data Engineer, you'll benefit from ongoing professional development opportunities while working in a dynamic environment that values your contributions to impactful client solutions. Our commitment to employee well-being and a supportive team atmosphere makes RSM UK a rewarding place to advance your career in data engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer – Data Integration & Microsoft Fabric in Birmingham
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We think you need these skills to ace Senior Data Engineer – Data Integration & Microsoft Fabric in Birmingham
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 RSM International, 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 RSM International. 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 RSM International
✨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!
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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 RSM International!
✨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.
