Senior Data Engineer

SPG Resourcing
Nottingham
5 months ago
Applications closed

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 Scientist

Job Title:Microsoft Fabric SME / Senior Data Engineer (3-Month initial Contract)

Location:Remote

Day Rate:£500-£600 (Outside IR35)


About the Role:

We are seeking a Microsoft Fabric SME/ Senior Data Engineer to join one of our clients for a critical 3-month project within the manufacturing sector. You will play a key role in the design, setup, and scaling of Microsoft Fabric operations, with the potential to progress into advanced data models incorporating AI and automation. This project involves large-scale data production and will require both technical expertise and strong communication skills.


Key Responsibilities:

  • You will be responsible for the initial build and design of the data environment, configuration, live pipeline setup, testing, automation, and release management.
  • Leading the advanced setup and optimisation of Microsoft Fabric for data analytics, model development, and automation.
  • Working on the practical implementation, with a focus on data ingestion, integration, and optimisation of pipelines.
  • Work closely with the team to set up data models, scale operations, and ensure smooth operational flow.
  • Engage with various stakeholders across the business, ensuring seamless communication and integration.


Key Skills & Expertise Required:

  • Microsoft Fabric Expertise: Analytics, DAX, PowerBI
  • Data Engineering & Integration: SQL, Python, CI/CD pipelines, ingestion, integration, and automation
  • Big Data Tools: PySpark, Apache Spark, Data Warehousing, Data Factory, Synapse, Databricks, and Data Lake
  • DevOps & Version Control: CI/CD pipelines, Terraform, GitHub, RBAC (Role-Based Access Control)
  • Security & Governance: Data encryption, threat detection, and governance implementation
  • Cloud & Infrastructure: Experience with Azure is essential
  • Manufacturing Sector: Previous experience in a manufacturing environment is highly preferred
  • Machine Learning Knowledge: Beneficial for setting up AI and automation models (not essential)


Soft Skills:

  • Communication: Strong verbal and written communication skills, with the ability to engage effectively with stakeholders.
  • Teamwork: Ability to work inclusively with a diverse team.
  • Problem-solving: Strong analytical and problem-solving abilities.


If this sounds like something you are interested in, please get in contact.

SPG Resourcing is an equal opportunities employer and is committed to fostering an inclusive workplace which values and benefits from the diversity of the workforce we hire. We offer reasonable accommodation at every stage of the application and interview 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.

10 Best AI Books for UK Job Seekers: Boost Your Artificial Intelligence Career in 2025

The field of Artificial Intelligence (AI) is advancing at a phenomenal pace, and the demand for skilled professionals in the UK job market—and globally—has never been higher. Whether you’re a newcomer looking to break into the industry or a seasoned professional wanting to future-proof your skill set, reading the right books can make all the difference. From foundational texts that build core understanding to more advanced works diving into cutting-edge technologies, these resources will equip you with the knowledge and insights needed to succeed in AI-related roles. In this comprehensive blog post, we’ll explore ten must-read books for job seekers eager to stand out in a competitive AI recruitment landscape. We’ll examine what each book brings to the table, how it can help you refine both your theoretical and practical skills, and why it’s relevant to your career development. By the end, you’ll have a reading list guaranteed to strengthen your CV and your capabilities, giving you a competitive edge as you carve out a successful AI career.

Navigating AI Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

The field of Artificial Intelligence (AI) is growing at an astonishing pace, offering a wealth of opportunities for talented professionals. From machine learning engineers and data scientists to natural language processing (NLP) specialists and computer vision experts, the demand for skilled AI practitioners continues to surge in the UK and globally. AI career fairs present a unique opportunity to connect face-to-face with potential employers, discover cutting-edge innovations, and learn more about the rapidly evolving landscape of data-driven technologies. Yet, attending these events can feel overwhelming: dozens of companies, queues of applicants, and only minutes to make a great first impression. In this detailed guide, we’ll walk you through strategies to prepare for AI career fairs, provide you with key questions to ask, highlight examples of relevant UK events, and reveal the critical follow-up tactics that will help you stand out from the crowd. By the end, you’ll be armed with the knowledge and confidence to land your dream role in the ever-growing world of Artificial Intelligence.

Common Pitfalls AI Job Seekers Face and How to Avoid Them

The global demand for Artificial Intelligence (AI) specialists continues to rise, with organisations across industries keen to implement machine learning, deep learning, and data-driven insights into their operations. Yet, as the market for AI professionals flourishes, so does the level of competition among candidates. Talented individuals who may otherwise be qualified often stumble on common pitfalls that can hinder their success in securing an AI-related role. These pitfalls can lie in their CV, interview approach, job search strategy, or even their understanding of what AI employers are looking for. This article aims to help job seekers in the UK’s AI sector—whether you’re fresh out of university, transitioning into AI from another field, or looking for a senior-level position—avoid the most common mistakes. We’ll discuss how to stand out in a crowded AI job market by improving your CV, acing interviews, and conducting an effective job search. Read on to discover the typical missteps AI professionals make when seeking employment and learn the strategies to avoid them.