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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 commitment to innovation.
- Benefits: Enjoy remote work, generous leave, private healthcare, and a strong pension package.
- Other info: Agile working environment with opportunities for personal and professional growth.
- Why this job: Make a real impact in data engineering while promoting wellbeing and diversity.
- Qualifications: Degree in Computer Science or related field; experience with SQL and Microsoft Fabric required.
The predicted salary is between 43000 - 62000 £ 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.
Cifas are unable to offer visa sponsorship or work permits.
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.
- 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.
- Remote working with approximately 2 days a month in the London office.
- Generous annual leave allowance plus the bank holidays.
- Private healthcare.
- Excellent pension package through salary sacrifice.
- Personal and professional growth.
- Employee wellbeing services – Wellbeing hub access with resources to various online exercise content, meditation guides, sleep stories and yoga.
We have introduced agile ways of working, allowing teams to decide how best they work, while ensuring regular opportunities to collaborate and innovate. We create an environment to help you to unleash your potential and perform the most rewarding work of your career, while keeping your wellbeing at the forefront with initiatives in place to promote the wellness of our people. We are committed to building a diverse and inclusive culture and have dedicated inclusion champions across the business to celebrate and promote our uniqueness. We also have a dedicated team of volunteers looking for innovative ways to give back as part of our commitments under our Corporate Social Responsibility. We are delighted to be recognised in the 2021, 2022 and 2024 best companies to work for listings. We have also been awarded the Investors In People Gold accreditation. If you are passionate about our purpose and would like an opportunity to make a valuable contribution to fraud prevention, we would like to hear from you.
Senior Data Engineer employer: Cifas
Contact Detail:
Cifas Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with current Cifas employees on LinkedIn. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those using Microsoft Fabric tools. This gives you a chance to demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for the interview by brushing up on common data engineering scenarios. Think about how you’d tackle challenges related to ETL processes or data integrity. We want to see your problem-solving skills in action!
✨Tip Number 4
Don’t forget to apply 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
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 projects that showcase your data engineering skills. We want to see how your background aligns with 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. Be sure to mention specific tools and techniques you've used that relate to the job description.
Showcase Your Projects: If you've worked on any interesting data projects, don’t hesitate to include them in your application. Whether it's a personal project or something from a previous job, we love seeing practical examples of your skills in action!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets to us quickly and efficiently. Plus, you'll find all the details you need about the role and our company culture there!
How to prepare for a job interview at Cifas
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Microsoft Fabric tools, especially Data Factory, Lakehouse, and Data Warehouse. Be ready to discuss how you've used these in past projects, as well as any challenges you faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of complex data challenges you've tackled. Highlight your approach to designing scalable solutions and how you ensured data integrity and performance optimisation in your previous roles.
✨Communicate Clearly with Everyone
Since you'll be liaising with both technical and non-technical stakeholders, practice explaining your work in simple terms. This will demonstrate your ability to bridge the gap between different teams and ensure everyone is on the same page.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data governance practices and how they integrate AI tools into their workflows. This shows your genuine interest in the role and helps you understand if the company aligns with your values and career goals.