Data Engineer

Teamtailor
London
4 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer - Snowflake, Oracle - Redress and Remediation

Data Engineer (UKIC DV Clearance)

Who are we?

Lumon is a leading foreign exchange and international payments company which enables effortless overseas payments by uniting people, technology & expertise. We are passionate about what we do, as we believe helping people and companies achieve their goals is more valuable than just moving their money.

Life at Lumon

People are always at the heart of what we do, no matter if it’s our clients, our community or our Lumoneer's. To give you a little flavour of what we mean…

We are a proud charity partner of Future First who support children in schools across the UK. We are a carbon neutral business. We are committed to Equity, Diversity and Inclusion; our EDI committee serves an important role at Lumon by challenging the status quo and helping us move the needle. We really want to make Lumon a great place to work, where people feel comfortable being themselves and where we can attract as much diversity as we possibly can. If this sounds good to you, then we’re thrilled you’re considering joining our team!

Role Overview

The Data Engineer will play a critical role in implementing and maintaining Lumon’s technical data infrastructure. Reporting to the Head of Data, you will focus on building and optimising the Azure Synapse data warehouse, developing robust data pipelines, and delivering high-quality datasets for reporting and analytics.
This role is ideal for a technically skilled professional who thrives on designing scalable data solutions and enjoys solving complex data challenges.

Key Responsibilities

Data Infrastructure and Pipeline Development

  • Design, develop, and maintain ETL/ELT pipelines using Azure Synapse Analytics, Data Factory and other Azure related cloud warehouse tools.
  • Optimise the Azure Synapse data warehouse for performance, scalability, and reliability.
  • Integrate data from various internal and external sources, ensuring accuracy and consistency across datasets.

Data Transformation and Quality

  • Perform data transformation tasks to ensure datasets are structured for efficient reporting and analysis.
  • Collaborate with the Head of Data to establish and monitor data quality metrics, implementing remediation processes as necessary.

Database Management

  • Assist in managing and maintaining SQL databases, optimising query performance and ensuring secure data storage in compliance with company policies.
  • Support database migrations and implement best practices for data security and retention.

Business Intelligence Support

  • Work closely with the Data Analyst and other stakeholders to develop and deploy Power BI dashboards and reports.
  • Provide technical support for troubleshooting data-related issues and ensuring continuous availability of critical reports and datasets.

Collaboration and Problem-Solving

  • Collaborate with stakeholders to understand business requirements and translate them into technical data solutions.
  • Identify opportunities to improve existing processes and automate routine tasks to enhance efficiency.

Required Experience

  • 3+ years in data engineering or similar technical roles, preferably in financial services or a related field.
  • Hands-on experience with Azure Synapse, Pipeline creations, Azure Data Factory, and Azure Data Lake Storage.
  • Strong proficiency in SQL, including database management, query optimisation, and troubleshooting.
  • Experience building and maintaining ETL pipelines for large-scale data environments.

Technical Skills

  • Expertise in cloud-based data warehouse architecture within Azure ecosystems.
  • Strong understanding of data modelling and transformation processes.
  • Familiarity with Power BI for creating and deploying visualisations.

Attributes

  • Detail-oriented with excellent problem-solving skills.
  • Collaborative mindset and ability to work effectively across teams.
  • Eager to stay updated with emerging data engineering trends and tools.

What you'll get:

  • A competitive salary
  • 25 days Annual leave, with a chance to purchase up to 5 additional days’
  • Birthday day off
  • Free monthly company lunches
  • Summer and Christmas parties, and other fun social events throughout the year
  • Access to Pirkx benefits platform which includes online GP, cashback and discounts on shopping and restaurants, gym discounts and more!
  • Medicash health scheme for you and your family
  • Cycle to work scheme
  • Quiet/Prayer room in Head Office
  • Employee Assistance Programme
  • Mental Health First Aiders
  • Pension
  • 4x Life Assurance
  • Ongoing training and development
  • Enhanced maternity leave
  • Menopause support
  • 2 additional days a year for ‘Moments that Matter

Lumon is proud to be an Equal Opportunity Employer. We are committed to equal employment opportunity regardless of race, colour, ancestry, religion, sex, sexual orientation, age, marital status, disability, or gender identity.

If you consider yourself to have a disability or require any reasonable adjustment during the recruitment process or within the workplace, please highlight this at the earliest opportunity, we will provide appropriate support to you throughout the process.

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.

Top 10 Best UK Universities for Data Science Degrees (2025 Guide)

Discover ten of the strongest UK universities for Data Science degrees in 2025. Compare entry requirements, course content, research strength and industry links to choose the right programme for you. Data is the currency of the modern economy, and professionals who can wrangle, model and interpret vast datasets are in demand across every sector—from biotechnology and finance to sport and public policy. UK universities have been at the forefront of statistics, artificial intelligence and large-scale computing for decades, making the country a prime destination for aspiring data scientists. Below, we profile ten institutions whose undergraduate or postgraduate pathways excel in data science. Although league tables vary each year, these universities have a proven record of excellence in teaching, research and industry collaboration.

Veterans in Data Science: A Military‑to‑Civilian Pathway into Analytical Careers

Introduction The UK Government’s National AI Strategy projects that data‑driven innovation could add £630 billion to the economy by 2035. Employers across healthcare, defence, and fintech are scrambling for professionals who can turn raw data into actionable insights. In 2024 alone, job‑tracker Adzuna recorded a 42 % year‑on‑year rise in data‑science vacancies, with average advertised salaries surpassing £65k. For veterans, that talent drought is a golden opportunity. Whether you plotted artillery trajectories, decrypted enemy comms, or managed aircraft engine logs, you have already practised the fundamentals of hypothesis‑driven analysis and statistical rigour. This guide explains how to translate your military experience into civilian data‑science language, leverage Ministry of Defence (MoD) transition programmes, and land a rewarding role building predictive models that solve real‑world problems. Quick Win: Take a peek at our live Junior Data Scientist roles to see who’s hiring this week.

Quantum-Enhanced AI in Data Science: Embracing the Next Frontier

Data science has undergone a staggering transformation in the past decade, evolving from a niche academic discipline into a linchpin of modern industry. Across every sector—finance, healthcare, retail, manufacturing—data scientists have become indispensable, leveraging statistical methods and machine learning to turn raw information into actionable insights. Yet as datasets grow ever larger and machine learning models become more computationally expensive, there are genuine questions about how far current methods can be pushed. Enter quantum computing, a nascent but promising technology grounded in the counterintuitive principles of quantum mechanics. Often dismissed just a few years ago as purely experimental, quantum computing is quickly gaining traction as prototypes evolve into cloud-accessible machines. When paired with artificial intelligence—particularly in the realm of data science—the results could be game-changing. From faster model training and complex optimisation to entirely new forms of data analysis, quantum-enhanced AI stands poised to disrupt established practices and create new opportunities. In this article, we will: Explore how data science has reached its current limits in certain areas, and why classical hardware might no longer suffice. Provide an accessible overview of quantum computing concepts and how they differ from classical systems. Examine the potential of quantum-enhanced AI to solve key data science challenges, from data wrangling to advanced machine learning. Highlight real-world applications, emerging job roles, and the skills you need to thrive in this new landscape. Offer actionable steps for data professionals eager to stay ahead of the curve in a rapidly evolving field. Whether you’re a practising data scientist, a student weighing up your future specialisations, or an executive curious about the next technological leap, read on. The quantum era may be closer than you think, and it promises to radically transform the very fabric of data science.