Senior Data Engineer

CIFAS; Greater London; Hybrid; GBP 50,000 - 55,000; Full time

Job summary

A leading fraud prevention organization in London seeks a Senior Data Engineer to design and manage data pipelines using Microsoft Fabric. The role demands a strong background in ETL processes, SQL, and cloud solutions. The ideal candidate will have expertise in data modeling, collaboration with teams, and ensure data integrity. Benefits include remote work, generous leave policies, and opportunities for professional growth. Join us to contribute to a meaningful purpose in fraud prevention!

Benefits

Remote working

Generous annual leave

Private healthcare

Excellent pension package

Employee wellbeing services

Qualifications

• Strong background in data modeling, ETL processes, and cloud-based solutions.
• Experience with data science and AI tools in Microsoft Fabric.

Responsibilities

• Maintain and manage the data analytics environment.
• Design and implement scalable data pipelines.
• Collaborate with teams to meet data requirements.

Skills

SQL

Microsoft Fabric

Python

Scala

Data modeling techniques

Power BI

Azure

Education

Degree in Computer Science or related field

Tools

Microsoft Fabric Data Factory

Microsoft Fabric Lakehouse

Microsoft Fabric Data Warehouse

Job description

Senior Data Engineer

Application Deadline: 19 January 2026

Department: Product Innovation

Employment Type: Full Time

Location: London, UK

Reporting To: Director of Research & Development

Compensation: £50,000 - £55,000 / year

Description

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.

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

• 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.