Data Engineer

Job Role: Data Engineer - Join Our Fintech Revolution!

Location: London, UK

Job Type: Full-time, in-office

Reports To: Chief Technology Officer

Salary: Competitive

About Us

We are an innovative fintech organisation committed to reshaping the future of homeownership by providing cutting-edge mortgage and insurance products. Our mission is to empower underserved borrower segments in the UK mortgage market. We pride ourselves on fostering a culture of excellence, collaboration, and support, enabling our team members to thrive!

Job Purpose

Are you a data enthusiast ready to take on an exciting challenge? As a Data Engineer, you will design, build, and operate our internal data platform, ensuring data from third-party systems is accurate, structured, and ready for insightful analysis. You will play a crucial role in managing data pipelines and ensuring high-quality data flows that meet our business needs.

Key Responsibilities

Data Platform & Engineering

Build and maintain data ingestion pipelines using Azure Data Lake (ADLS Gen2) and Microsoft Fabric.

Seamlessly integrate third-party platforms and implement data transformations.

Develop datasets for Power BI and support management information reporting.

Contribute to data architecture discussions, aligning with best practises.

Data Quality & Governance

Implement automated data quality checks and maintain clear documentation.

Ensure consistent application of data definitions and business rules across teams.

Support auditability through traceable data processing steps.

Delivery & Collaboration

Collaborate with external partners and internal teams to meet reporting needs.

Work closely with Information Security to ensure compliant data handling.

Participate in agile sprints, contributing to technical planning.

Operational Ownership

Monitor data pipeline health, performance, and reliability.

Troubleshoot data issues swiftly, communicating effectively with stakeholders.

Drive continuous improvement of the data platform's resilience and performance.

Key Requirements

Qualifications

Degree in Computer Science, Cyber Security, Information Technology, or related field, or equivalent professional experience.

Experience & Skills

Essential

Hands-on experience as a Data Engineer in a modern cloud environment.

Strong expertise in Azure data services (ADLS, Azure Data Factory, Microsoft Fabric).

Proficient in SQL and data modelling.

Experience with API integration and SFTP data feeds.

Excellent communication skills for engaging non-technical stakeholders.

Desirable

Background in financial services or fintech.

Familiarity with Power BI dataset modelling.

Knowledge of DevOps/CI/CD practises for data engineering.

Personal Attributes

Detail-oriented and committed to data quality.

Analytical and pragmatic problem-solving approach.

Ability to balance speed and quality in delivery.

Collaborative mindset with a passion for cross-functional teamwork.

What We Offer

Competitive Salary: Attractive compensation package.

Professional Development: Opportunities for continuous learning and career advancement.

Generous Annual Leave: 25 days plus statutory days, increasing by one day after five years of service, up to 30 days.

Are you ready to make an impact in the world of fintech? Join us on our journey to innovate and empower! Apply today to become a vital part of our dynamic team!

Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.

Adecco acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers. The Adecco Group UK & Ireland is an Equal Opportunities Employer.

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