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- Tasks: Design and maintain data pipelines using Microsoft Fabric tools for optimal performance.
- Company: Join Cifas, a leader in fraud prevention with a collaborative team culture.
- Benefits: Enjoy remote work, generous leave, and a competitive benefits package.
- Other info: Opportunity to work with cutting-edge technology in a dynamic environment.
- Why this job: Make a real impact in data engineering while fighting fraud with innovative solutions.
- Qualifications: Degree in Computer Science and experience with SQL and Microsoft Fabric required.
The predicted salary is between 36000 - 60000 £ per year.
We are looking for a highly analytical and detail-oriented Senior Data Engineer to join the Cifas team. In this role, you will design, develop, and maintain robust data pipelines and architectures, while managing the Cifas data analytics environment. You will leverage Microsoft Fabric tools to build and optimise scalable data ecosystems, ensuring high performance and reliability. The ideal candidate will possess a strong background in data modelling, ETL processes, and cloud-based data solutions, with a focus on maintaining data integrity and accessibility across the organisation.
Key Responsibilities:
- Maintaining, monitoring and managing the Cifas data analytics environment, leveraging Microsoft Fabric tools to build and manage data ecosystems, ensuring scalability and performance optimisation.
- Designing and implementing scalable data pipelines using Microsoft Fabric components such as Data Factory, Lakehouse, and Data Warehouse.
- Developing and optimising complex queries for data extraction, transformation, and loading (ETL) processes.
- Collaborating with cross-functional teams and external providers to understand data requirements and deliver solutions that meet business needs.
- Ensuring data quality and integrity through rigorous testing and validation procedures.
- Monitoring and troubleshooting data workflows, ensuring high availability and performance.
- Ensuring data pipelines are available and optimised for the application of data science and AI tools.
- Implementing data governance and security measures in compliance with industry standards.
- Documenting data workflows, system architectures, and integration processes to ensure transparency and knowledge sharing across teams.
- Providing technical support and training where necessary to ensure effective use of data platforms and tools.
Skills, Knowledge and Expertise:
- A degree in Computer Science, Information Systems, or a related field.
- Proven experience in data engineering with a focus on SQL and Microsoft Fabric and its components.
- Proficiency in programming languages like Python, SQL, and Scala for data manipulation and pipeline development.
- Hands-on experience with Microsoft Fabric tools, including Data Factory, Lakehouse, and Data Warehouse.
- Familiarity with cloud platforms such as Azure, AWS, or GCP.
- Understanding of data modelling techniques and best practices.
- Knowledge of data visualization tools like Power BI or Tableau.
- Certifications in Microsoft Azure or related technologies.
- Familiarity with big data technologies and frameworks.
- Experience of working with data science and AI tools in Microsoft Fabric.
- Ability to diagnose and resolve issues within data pipelines and systems.
- Capacity to design scalable and efficient solutions for complex data challenges.
- Strong written and verbal communication skills to liaise with technical and non-technical stakeholders effectively.
Benefits:
In return for helping us take the fight to fraud, all our employees receive an impressive benefit package, which includes remote working with approximately 2 days a month in the London office and a generous annual leave allowance.
Senior Data Engineer in London employer: Cifas
Contact Detail:
Cifas Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer in London
✨Network Like a Pro
Get out there and connect with folks in the data engineering space! Attend meetups, webinars, or even just chat with people on LinkedIn. Building relationships can open doors to opportunities that aren’t even advertised.
✨Show Off Your Skills
Create a portfolio showcasing your projects, especially those involving Microsoft Fabric and data pipelines. Share your GitHub or any relevant work during interviews to demonstrate your hands-on experience and problem-solving skills.
✨Prepare for Technical Interviews
Brush up on your SQL and Python skills, and be ready to tackle some coding challenges. Practice explaining your thought process as you solve problems, as this will show your analytical abilities and how you approach data challenges.
✨Apply Through Our Website
Don’t forget to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Cifas team.
We think you need these skills to ace Senior Data Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with Microsoft Fabric, SQL, and any relevant data engineering projects. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our team at Cifas. Keep it concise but impactful – we love a good story!
Showcase Your Projects: If you've worked on any cool data projects, don’t hold back! Include links or descriptions of your work that demonstrate your skills in building data pipelines and using Microsoft Fabric tools. We’re keen to see what you can do!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to submit all your documents in one go. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at Cifas
✨Know Your Tools Inside Out
Make sure you’re well-versed in Microsoft Fabric and its components like Data Factory, Lakehouse, and Data Warehouse. Be ready to discuss how you've used these tools in past projects, as this will show your practical experience and understanding of the role.
✨Showcase Your Problem-Solving Skills
Prepare examples of complex data challenges you've faced and how you resolved them. Highlight your ability to diagnose issues within data pipelines and systems, as this is crucial for the Senior Data Engineer position.
✨Communicate Clearly with Everyone
Since you'll be liaising with both technical and non-technical stakeholders, practice explaining your past projects in simple terms. This will demonstrate your strong communication skills and your ability to collaborate effectively across teams.
✨Emphasise Data Integrity and Quality
Be prepared to discuss your approach to maintaining data quality and integrity. Share specific examples of testing and validation procedures you've implemented, as this aligns perfectly with the responsibilities of the role at Cifas.