At a Glance
- Tasks: Design and develop scalable data solutions using Microsoft Fabric and build end-to-end data pipelines.
- Company: Join a leading tech firm in London with a hybrid work culture.
- Benefits: Enjoy competitive salary, flexible working, and opportunities for professional growth.
- Other info: Collaborate in Agile teams and enjoy excellent career advancement opportunities.
- Why this job: Make an impact by delivering analytics-ready datasets and optimising data performance.
- Qualifications: Expertise in Microsoft Fabric, SQL, and Python/Spark required.
The predicted salary is between 54000 - 66000 £ per year.
- The role is responsible for the design, development, and maintenance of scalable data solutions using Microsoft Fabric.
- The role focuses on building end-to-end data pipelines, working with business users and technical teams to deliver analytics-ready datasets using Agile principles.
- The role requires strong expertise in Fabric data engineering capabilities, applying both technical and business knowledge to develop robust, performant, and governed data solutions.
• The role holder is expected to
- Collaborate with business users and technical teams to understand requirements
- Design and implement data ingestion, transformation, and delivery pipelines
- Ensure performance, and scalability of solutions
- Apply a structured and timely approach to delivery with high quality standards
- Demonstrate strong analytical and problem-solving skills
- Role: Microsoft Fabric Data Engineer
- Employment: Fulltime
Role Overview
- The role is responsible for the design, development, and maintenance of scalable data solutions using Microsoft Fabric.
- The role focuses on building end-to-end data pipelines, working with business users and technical teams to deliver analytics-ready datasets using Agile principles.
- The role requires strong expertise in Fabric data engineering capabilities, applying both technical and business knowledge to develop robust, performant, and governed data solutions.
• The role holder is expected to
- Collaborate with business users and technical teams to understand requirements
- Design and implement data ingestion, transformation, and delivery pipelines
- Ensure performance, and scalability of solutions
- Apply a structured and timely approach to delivery with high quality standards
- Demonstrate strong analytical and problem-solving skills
- Responsibities
- Design, develop and maintain data pipelines within Microsoft Fabric
- Build and optimise ETL/ELT processes for analytics consumption
- Develop and maintain Fabric Dataflows, Lakehouse and Warehouse
- Ensure data is accessible, reliable and governed across platforms
- Optimise performance and cost of data platform
- Work within Agile teams and participate in sprint ceremonies
- Technical Skillset
- Microsoft Fabric (Dataflows, Lakehouse, Warehouse)
- Azure Data Services (Synapse, Data Factory, Data Lake)
- SQL (advanced) and Python/Spark for data transformation
- Strong understanding of data modelling (e. g. star schema)
- Experience building scalable data pipelines for large datasets
- Experience in financial services data environments (desirable)
Senior Fabric Engineer in London employer: Cognizant Technology Solutions Corporation
Cognizant is an exceptional employer, offering a dynamic work environment where innovation and collaboration thrive. As a Manager in Intelligent Process Automation, you'll engage in high-profile transformation programmes while benefiting from a culture that prioritises consulting excellence and continuous learning. With clear career progression pathways, competitive compensation, and flexible hybrid working arrangements, Cognizant empowers its employees to grow and succeed in their careers.
Contact Details:
Cognizant Technology Solutions Corporation Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Fabric Engineer in 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 Cognizant Technology Solutions Corporation!
✨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 Fabric Engineer at Cognizant Technology Solutions Corporation.
✨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 Cognizant Technology Solutions Corporation.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Fabric Engineer at Cognizant Technology Solutions Corporation, 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 Fabric Engineer in 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 Cognizant Technology Solutions Corporation, 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 Cognizant Technology Solutions Corporation. 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 Cognizant Technology Solutions Corporation
✨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 Cognizant Technology Solutions Corporation!
✨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.
