Data Engineer

Vanquis

Bradford (IA)

Hybrid

USD 95,000 - 128,000

Full time

29 hours ago
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Benefits offered by this job

Flexible Hybrid Working
Award-Winning Employer
Great Place to Work Certified
Up to 10% Pension Contribution
25–30 Days Annual Leave
Learning & Wellbeing
Two Volunteering Days
Enhanced Family Leave
Paid Birthday Leave
Career Development Opportunities

Job summary

Vanquis is strengthening how it uses data to improve customer outcomes and competitive advantage. As a Data Engineer, you will transform raw information into dependable data products, joining cloud and on-premise sources and making data easier to find, understand and use.

You'll work hands-on with senior engineers to shape data platforms, standards and practices, while contributing to a secure, observable and well-governed data environment.

Qualifications

  • End-to-end data engineering or analytics in the cloud, ideally Azure.
  • Hands-on with high-performing, scalable data pipelines.
  • Experience with batch and near real-time processing across sources.

Responsibilities

  • Turn complex raw data into trusted, usable datasets.
  • Build scalable pipelines for batch and near real-time processing.
  • Connect cloud and on-premise sources to data products.
  • Strengthen metadata, lineage and data dictionaries.

Skills

Azure Data Engineering
Data pipelines
CI/CD / DevOps
Data modeling & governance

Tools

Azure Data Factory
Databricks
Spark
Azure Blob Storage
Azure Data Lake

Job description

Build trusted data products that turn complexity into confident decisions.

Vanquis is strengthening how it uses data to improve customer outcomes, insight and competitive advantage. This is an opportunity to help shape a modern, cloud-first data platform at a point when scalable, trustworthy data matters more than ever.

As a Data Engineer, you will transform raw information into dependable data products, joining cloud and on-premise sources and making data easier to find, understand and use. Your work will reduce manual effort, improve analyst productivity and support a clearer single source of truth across the business.

You will have meaningful ownership without people-management responsibility, working alongside senior data engineering leadership, architects, platform specialists and business partners. It is a hands‑on role with the visibility to influence how data engineering standards and practices evolve.

There's More to the Story

This role is part of a wider Technology & Change journey. Explore our Technology & Change careers page to meet the teams, discover our technology journey and see how you can help shape what's next.

How you'll make an impact

You’ll…

  • Turn complex raw data into trusted, usable datasets
  • Build scalable pipelines for batch and near real‑time processing
  • Connect cloud and on‑premise sources to the right data products
  • Strengthen metadata, lineage and data dictionary practices
  • Design for performance, testing, automation and secure delivery
  • Shape data marts with engineering, architecture and business partners
  • Explore better tools and challenge established approaches
  • Share knowledge and document solutions clearly
So that…
  • Colleagues can make better‑informed decisions using consistent, accessible information.
  • Data moves reliably across the organisation as demand and complexity grow.
  • Teams gain a clearer, joined‑up view without avoidable manual work.
  • Data remains searchable, traceable and easier to evidence in a regulated environment.
  • Solutions are dependable, maintainable and ready to support critical business needs.
  • Analysts spend less time preparing data and more time creating insight.
  • Delivery becomes faster and the platform continues to evolve.
  • The team builds capability and can support what it delivers with confidence.
Why this role matters

Vanquis needs to make better use of its data assets while maintaining the integrity, traceability and controls expected in a regulated organisation. This role helps establish the strong data platform needed to provision information across the organisation, supporting customer outcomes, business insight and future innovation.

You will work closely with the Senior Data Engineering Lead, Principal and Lead Data Engineers, the Data Architect, Data Platform and Data Integration teams, as well as Project Managers, Business Analysts, managers and business stakeholders. That breadth gives you a direct view of how well‑engineered data improves decisions and day‑to‑day productivity.

Our Data Engineering approach
Trusted data

We engineer for quality, lineage and a shared understanding of information.

Cloud‑first thinking

We use modern cloud architecture to create scalable, maintainable data solutions.

Shared ownership

Engineers, architects, project teams and business partners solve problems together.

Secure and controlled delivery

GDPR, PCI, risk and good control practices are considered from the outset.

Continuous improvement

We question existing approaches and adopt tools that improve time to market.

Learning together

We document well, share experience and help the wider engineering community grow.

Technology stack

Data platforms & processing: Azure Data Factory, Databricks, Spark, Azure Blob Storage, Azure Data Lake

NiFi, Hive, Kafka, HBase

Batch and near real‑time processing

Cloud and on‑premise integration

Engineering & delivery: Agile, DevOps, CI/CD, Test automation

Metadata‑driven pipelines, Data modelling, Data marts

Performance tuning, Troubleshooting, Secure development

Data lineage, Data dictionaries, Handover documentation

Essential Experience
  • End-to-end experience designing and delivering data engineering or analytics solutions in cloud environments, ideally Azure.
  • Hands‑on experience building high-performing, scalable pipelines for structured and semi-structured data.
  • Experience with batch and near real‑time processing across multiple sources and targets.
  • Practical capability with Azure Data Factory and Databricks or Spark, plus Azure Blob Storage or Azure Data Lake.
  • Understanding of data modelling, data marts, metadata-driven development, data dictionaries and lineage.
  • Experience delivering through Agile and DevOps practices, including CI/CD, testing and automation.
  • Ability to troubleshoot and tune performance while maintaining secure development awareness.
  • Confident collaboration with engineers, architects, project teams, analysts and business stakeholders.
  • Clear documentation, communication and constructive issue escalation.
  • A curious, improvement-focused approach that balances innovation with regulatory and control requirements.
Useful, but not essential
  • Experience with NiFi, Hive, Kafka or HBase.
  • Experience integrating data across both on-premise and cloud environments.
  • Knowledge of data governance in a regulated organisation.
  • Awareness of GDPR and PCI considerations in data processing.
Career development

You will deepen your experience across modern Azure data engineering, scalable processing patterns, governance and secure delivery. The role also offers exposure to senior engineers, architecture, platform teams and business stakeholders, with opportunities to influence standards, lead improvements and build towards senior engineering, specialist or future leadership pathways.

Why Vanquis?

Benefits & Culture

Award-Winning Employer

Great Place to Work Certified

  • Financial Times Best Employers 2025 & 2026
  • Armed Forces Friendly Employer, Bronze.
  • Flexible Hybrid Working A balanced approach to office and home working.
  • Inclusive Culture A workplace where colleagues are supported, respected and encouraged to be themselves.
  • Up to 10% Pension Contribution Helping you plan and prepare for the future
  • 25–30 Days Annual Leave Time away to rest, reset and recharge.
  • Learning & Wellbeing LinkedIn Learning Access to learning resources to support your growth and development.
  • Two Volunteering Days Paid time to support causes that matter to you.
  • Enhanced Family Leave Supporting colleagues through important life moments.
  • Paid Birthday Leave An extra day off to celebrate you.
  • Career Development Opportunities Support to build skills, grow your career and shape what comes next.

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