Senior Data Engineer

First Rate Exchange Services
Stone Cross
5 days ago
Create job alert

Get AI-powered advice on this job and more exclusive features.

Please note we cannot provide visa support or sponsorship for this role. Applicants must have the legal right to work in the UK without requiring sponsorship now or in the future.

First Rate is the UK’s largest supplier of foreign currency and a top 5 currency wholesaler globally. We are one of the foremost foreign exchange (FX) experts in the industry, with a multi-billion pound wholesale business and over 20 years’ trusted experience providing tailor-made travel money solutions for companies in the finance, travel and retail sectors.

We have a vacancy for a Senior Data Engineer who will have technical ownership over First Rate’s data infrastructure, maintaining and continuously developing our data fabric.

The Role

  • Technical Ownership of Data Infrastructure: Take full responsibility for the end-to-end architecture, management and scalability of our data infrastructure.
  • Development of Data Fabric: Maintain and continuously enhance the data fabric, ensuring data flow, transformation and integration meet the business's evolving needs.
  • Cross-Departmental Collaboration: Work closely with IT, MI and business units to understand and prioritise data needs while implementing technical solutions.
  • Governance and Security: Ensure compliance with data governance policies, security protocols, and best practices for data privacy and protection.
  • Data Architecture Design and Development: Design, implement, and optimise scalable data pipelines and infrastructure in Microsoft Azure, with a focus on MS Fabric, Synapse, and Data Factory.
  • Continuous Improvement: Lead efforts to streamline and improve data processes, ensuring seamless and efficient data ingestion, transformation, storage and querying.
  • Monitoring and Troubleshooting: Proactively monitor data systems to identify bottlenecks, performance issues, and risks, providing timely resolutions.
  • Data Integration: Ensure efficient integration of various data sources across the organisation.
  • Automation and Optimisation: Automate routine tasks such as data backups, ETL processes and error handling to increase operational efficiency.
  • Documentation and Best Practices: Maintain clear documentation on data infrastructure, processes and procedures, ensuring adherence to best practices and standard operating procedures.
  • Leadership and Mentorship: Provide guidance and mentorship to junior engineers, helping foster a collaborative, growth-driven environment within the data team.

The Candidate

The ideal candidate will have:

  • In-depth knowledge of Microsoft Azure services (Azure Synapse Analytics, Azure Data Factory, Azure Data Lake/OneLake, Azure DevOps, and, ideally, MS Fabric).
  • Strong background in data engineering, design of database structures, data warehousing concepts, data modelling, schema design, ETL and data transformation.
  • Well-versed in GitHub, Python, SQL, Spark and DevOps practices and tools, including CI-CD pipelines.
  • Experience in implementing and managing data governance, security and privacy standards in a cloud environment.
  • Proven track record of building scalable data systems and optimising them for performance and cost-efficiency.
  • Professional certifications in Azure (Azure Data Engineer Associate, Microsoft Certified: Azure Solutions Architect Expert) are a plus.

We offer a successful, dynamic and supportive environment where people with talent and dedication can learn, grow and thrive at every level.

Diversity Statement

First Rate is committed to eliminating discrimination and encouraging diversity in its workforce. We aim to create a culture that respects and values each other’s differences, that promotes dignity, equity and diversity and that encourages individuals to develop and maximise their true potential.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Information Technology

#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer - Fabric - £70,000 - London

Senior Data Engineer - Remote - £70k

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Global vs. Local: Comparing the UK Data Science Job Market to International Landscapes

How to evaluate salaries, opportunities, and work culture in data science across the UK, the US, Europe, and Asia Data science has proven to be more than a passing trend; it is now a foundational pillar of modern decision-making in virtually every industry—from healthcare and finance to retail and entertainment. As the volume of data grows exponentially, organisations urgently need professionals who can transform raw information into actionable insights. This high demand has sparked a wave of new opportunities for data scientists worldwide. In this article, we’ll compare the UK data science job market to those in the United States, Europe, and Asia. We’ll explore hiring trends, salary benchmarks, and cultural nuances to help you decide whether to focus your career locally or consider opportunities overseas or in fully remote roles. Whether you’re a fresh graduate looking for your first data science position, an experienced data professional pivoting from analytics, or a software engineer eager to break into machine learning, understanding the global data science landscape can be a game-changer. By the end of this overview, you’ll be better equipped to navigate the expanding world of data science—knowing which skills and certifications matter most, how salaries differ between regions, and what to expect from distinct work cultures. Let’s dive in.

Data Science Leadership for Managers: Strategies to Motivate, Mentor, and Set Realistic Goals in Data-Driven Teams

Data science has become a linchpin in modern business, transforming oceans of raw data into actionable insights that guide strategy, product development, and personalised customer experiences. With this surge in data-centric operations, the need for effective data science leadership has never been more critical. Guiding a team of data scientists, analysts, and machine learning engineers requires not only technical acumen but also the ability to foster collaboration, champion ethical practices, and align complex modelling efforts with overarching business goals. This article provides practical guidance for managers and aspiring leaders aiming to excel in data-driven environments. By exploring strategies to motivate data science professionals, develop mentoring frameworks, and set achievable milestones, you will be better prepared to steer your team towards meaningful, evidence-based outcomes.

10 Essential Books to Read to Nail Your Data Science Career in the UK

Data science continues to be one of the most exciting and rapidly evolving fields in tech. With industries across the UK—ranging from finance and healthcare to e-commerce and government—embracing data-driven decision-making, the demand for skilled data scientists has soared. Whether you're a recent graduate looking for your first role or a professional aiming to advance your career, staying updated through books is crucial. In this article, we explore ten essential books every data science job seeker in the UK should read. Each book provides valuable insights into core concepts, practical applications, and industry-standard tools, helping you build skills employers are actively looking for.