National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Data Engineer

SPG Resourcing
Glasgow
8 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer - dbt, Snowflake, AWS, Airflow

Senior Data Engineer - Snowflake - £100,000

Senior Data Engineer_London_Hybrid

Senior Data Architect

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.

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

LinkedIn Profile Checklist for AI Jobs: 10 Tweaks That Triple Recruiter Views

In today’s fiercely competitive AI job market, simply having a LinkedIn profile isn’t enough. Recruiters and hiring managers routinely scout for top talent in machine learning, data science, natural language processing, computer vision and beyond—sometimes before roles are even posted. With hundreds of applicants vying for each role, you need a profile that’s optimised for search, speaks directly to AI-specific skills, and showcases measurable impact. By following this step-by-step LinkedIn for AI jobs checklist, you’ll make ten strategic tweaks that can triple recruiter views and position you as a leading AI professional. Whether you’re a fresh graduate aiming for your first AI position or a seasoned expert targeting a senior role, these actionable changes will ensure your profile stands out in feeds, search results and recruiter queues. Let’s dive in.

Part-Time Study Routes That Lead to AI Jobs: Evening Courses, Bootcamps & Online Masters

Artificial intelligence (AI) is reshaping industries at an unprecedented pace. From automating mundane tasks in finance to driving innovation in healthcare diagnostics, the demand for AI-skilled professionals is skyrocketing. In the United Kingdom alone, AI is forecast to deliver over £400 billion to the economy by 2030 and generate millions of new jobs across sectors. Yet, for many ambitious professionals, taking time away from work to upskill can feel like an impossible ask. Thankfully, part-time learning options have proliferated: evening courses, intensive bootcamps and flexible online master’s programmes empower you to learn AI while working. This comprehensive guide explores every route—from short tasters to deep-dive MScs—showcasing providers, course formats, funding options and practical tips. Whether you’re a career changer, a busy manager or a self-taught developer keen to go further, you’ll discover a pathway to fit your schedule, budget and goals.