Data Engineer in Maidstone

Data Engineer in Maidstone

Maidstone Full-Time 45000 - 55000 £ / year (est.) Hybrid
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At a Glance

  • Tasks: Build and run data pipelines using Microsoft Fabric and Python.
  • Company: Grant Thornton, a forward-thinking audit and advisory firm.
  • Benefits: Flexible working options, inclusive culture, and opportunities for personal growth.
  • Other info: Engage in community initiatives and enjoy a balanced work-life.
  • Why this job: Join a team redefining the industry while making a real impact.
  • Qualifications: Experience with Microsoft Fabric, Python, and data engineering principles.

The predicted salary is between 45000 - 55000 £ per year.

At Grant Thornton we do things differently - looking to the future, driving ambitious growth and pioneering positive change in our industry. Providing audit, tax and advisory services, we empower clients through strategic insight, curiosity, and genuine partnership. And we empower our people with real opportunity, an inclusive culture and work life balance.

Grant Thornton UK LLP is part of a global network of independent audit, tax and advisory firms, made up of some 58,000 people in over 135 countries. We're a team of independent thinkers who put quality, inclusion and integrity first. All around the world we bring a different experience to our clients. A better experience. One that delivers the expertise they need in a way that goes beyond. Personal, proactive, and agile.

As a Data Engineer in our Data Architecture team, you’ll build and run the pipelines and platform components that keep the firm’s data secure, reliable and ready to use. You’ll deliver agreed parts of our migration to Microsoft Fabric and help build the foundations for analytics, self-service reporting and AI. You’ll work to shared standards alongside your colleagues, with direction on design and priorities from the Head of Data Architecture.

Day to day, you’ll:

  • Build and run data pipelines and notebooks in Fabric, using Data Factory, Lakehouse, Python, PySpark and SQL.
  • Ingest data from our core systems, including Workday, Dynamics 365, Business World and SharePoint.
  • Build and maintain data structures in Fabric Warehouse and Lakehouse, and deliver documented, certified datasets for Power BI that analysts can reuse.
  • Prepare governed data for AI, including retrieval through RAG and MCP, and turn documents such as PDFs into structured, searchable form.
  • Apply our data classification, access control and co-mingling standards in everything you build, so client and firm data stay separate.
  • Move existing Azure Data Factory, Azure Data Lake and SQL Server solutions into Fabric, redesigning legacy ETL and ELT processes along the way.
  • Use version control, CI/CD, automated testing and monitoring to keep your pipelines reliable, and fix root causes when issues arise.
  • Keep up to date with new Fabric features, document your work and share what you learn.

Success in this role looks like pipelines that run reliably, migration milestones met with no loss of data and no break in reporting, and certified datasets that analysts reuse. Colleagues should be able to build on your work because it is well documented.

We’re looking for people who will bring ambition and drive to their role. In changing markets, we need to be able to work at pace and be adaptable to change and to be curious, asking questions of ourselves, each other and our clients to ensure we are delivering the services and quality we expect.

The minimum criteria you’ll need is practical experience with Microsoft Fabric (Data Factory, Lakehouse, Warehouse and Notebooks) or Databricks, working proficiency in Python, PySpark and SQL for data engineering, an understanding of data modelling, warehousing and ETL/ELT principles, working knowledge of Power BI and version control (for example Git / DevOps), awareness of good practice in data governance, security and compliance, and the ability to manage your own workload and communicate clearly with technical and non-technical colleagues.

It would be great if you had some of the following skills, but don’t worry if you don’t tick every box, we’ll help you develop along the way:

  • Exposure to migrating from Azure Data Factory and Azure Data Lake to Fabric.
  • Exposure to notebook-based platforms (Fabric / Databricks).
  • Understanding of CI/CD pipelines for data solutions.
  • Exposure to preparing data for AI use, for example RAG, vector databases or MCP.
  • Exposure to processing unstructured data, such as PDFs and documents.
  • Exposure to data catalogue, lineage or classification tools.
  • Experience in professional services or another regulated environment.

Embracing uniqueness, the culture at Grant Thornton thrives on the contributions of all our people. Building an inclusive culture, where we value difference and respect our colleagues helps our people to perform at the best of their ability and realise their potential. Our open and accessible culture means you’ll interact with leaders who are interested in you and everything you bring to our firm.

Life is more than work. The things you do, and the people you’re with outside of work matter, that’s why we’re happy to look at flexible working options for all our roles, and we’ll always do our best to keep your work and life in balance. The impact you can make here will go far beyond your day job. From fundraising for local charities, or investing in entrepreneurs in the developing world, you’ll be giving back to society. It’s that drive to do the right thing that runs through our every move, grounded in our firm’s values – purposefully driven, actively curious and candid but kind. We’re looking for people who want to contribute, spark fresh ideas and go beyond expectations.

Data Engineer in Maidstone employer: Grant Thornton

Grant Thornton is an exceptional employer, offering a vibrant work culture that prioritises collaboration and innovation. With a strong focus on employee growth, you will have the opportunity to mentor junior staff while working with a diverse portfolio of large corporate clients in a globally connected environment. The flexible working options further enhance the work-life balance, making it a rewarding place to build your career in tax advisory.

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Contact Details:

Grant Thornton Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Engineer in Maidstone

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We think you need these skills to ace Data Engineer in Maidstone

Python
Communication Skills
Data Engineering
Data Governance
Problem-Solving Skills
Data Pipeline Development
Data Quality Assurance

Some tips for your application 🫡

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