Data Engineer

Peaple Talent
Swindon
1 month ago
Applications closed

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This range is provided by Peaple Talent. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.


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Data Engineer | Swindon (1 day per month in office) | Permanent | Up to £50,000 p.a


Peaple Talent have partnered with an exciting client in Swindon looking to recruit for a Data Engineer.


This is working for a meaningful client who are on an exciting data journey, joining a small team and the opportunity to up-skill in Microsoft Fabric and Dynamics 365.


Key Responsibilities

  • Create and operate end-to-end data platforms across both cloud and local environments, using the Microsoft ecosystem to deliver resilient, future-ready solutions. Data inputs include enterprise systems such as Dynamics Business Central and CRM, alongside a wide variety of internal and external resources.
  • Engineer scalable, fault-tolerant data flows that automate the movement and transformation of information, ensuring consistent delivery of high-quality data from downstream use.
  • Apply industry-leading approaches to data architecture, warehouse design, and modelling, enabling advanced reporting, analytics, and insight generation while actively improving data accuracy and consistency.
  • Establish and uphold strong standards for data stewardship, safeguarding sensitive information and ensuring compliance with governance, security, and regulatory requirements across the organisation.
  • Streamline and enhance data operations by introducing automation, reducing reliance on manual processes, and embedding CI/CD practices into data development workflows.
  • Work closely with a broad range of stakeholders, both technical and business-focused, to translate complex requirements into effective, value-driven data solutions that support strategic objectives.
  • Contribute to the continued development of our client’s data capabilities by evaluating new tools, methodologies, and trends within the data engineering landscape.
  • Produce clear, detailed documentation covering data platforms, pipelines, and processes to support transparency, continuity, and shared understanding across teams.

Key Experience Required

  • Extensive hands-on background working in data-focused roles within cloud-centric environments, with a strong preference for solutions built on Microsoft platforms.
  • Practical experience designing and delivering solutions using services such as Microsoft Fabric, Azure Data Factory, Synapse Analytics, Databricks, and the wider Azure data ecosystem.
  • Advanced capability in writing and optimising SQL to explore, manipulate, and maintain high-volume, complex data assets.
  • Proven track record of working with Microsoft Dynamics 365 data in the cloud, including configuration, integration, and optimisation of data flows.
  • Demonstrated success in building resilient, automated data ingestion and transformation frameworks that scale effectively within Azure-based architectures.
  • Solid understanding of data architecture principles, including warehouse design and modelling techniques that enable sophisticated analytical workloads.
  • Working knowledge of cloud-based data protection, governance frameworks, and regulatory considerations.
  • Strong problem-solving experience, with the ability to diagnose, investigate, and resolve intricate data-related challenges.
  • Experience producing clear, structured documentation covering cloud data solutions, system designs, and operational processes.
  • Highly developed analytical mindset, capable of extracting meaningful insights from complex datasets to inform decision‑making.
  • Clear and confident communicator, comfortable collaborating across both technical teams and business stakeholders.

Seniority level

Mid‑Senior level


Employment type

Full‑time


Job function

Information Technology


Industries

Technology, Information and Media


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