At a Glance
- Tasks: Design and develop scalable data solutions using Microsoft Fabric and Agile principles.
- Company: Join a leading tech firm in London with a hybrid work model.
- Benefits: Enjoy competitive salary, flexible working, and opportunities for professional growth.
- Other info: Collaborative environment with excellent career advancement opportunities.
- Why this job: Make an impact by building innovative data pipelines and optimising performance.
- Qualifications: Strong expertise in Microsoft Fabric, SQL, and Python/Spark required.
The predicted salary is between 45000 - 55000 £ per year.
Location: London (Hybrid)
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
Responsibilities:
- 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
Cognizant is an exceptional employer that fosters a collaborative and innovative work culture, making it an ideal place for professionals seeking to excel in their careers. With a strong emphasis on employee growth and development, you will have access to mentorship opportunities and the chance to lead transformative projects in a dynamic environment. Located in a vibrant area, Cognizant offers unique advantages such as a diverse team and a commitment to work-life balance, ensuring that your contributions are both meaningful and rewarding.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Fabric Engineer in London
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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, 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. 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
✨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 Cognizant!
✨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.
