Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Data Engineer

Derby
4 weeks ago
Applications closed

Related Jobs

View all jobs

Data Engineer - Fashion Retail (MLOps)

Data Scientist - Engineer

Lead Data Engineer, Machine Learning

Mid-Level Machine Learning Engineer - Data Engineer II – Chase

Mid-Level Machine Learning Engineer - Data Engineer II - Chase

Senior Data Scientist

About Us

Makutu designs, builds and supports Microsoft Azure cloud data platforms. We are a Microsoft Solutions Partner (Azure Data & AI) and are busy building a talented team with relevant skills to deliver industry leading data platforms for our customers.

The Role

The Data Engineer role is key to building and growing the in-house technical team at Makutu. The role will provide the successful applicants with the opportunity for significant career development while working with a range of large businesses to whom data is critical to their success.

Working as part of the team and with the customer, you'll require excellent written and verbal English language and communication skills.

Big growth plans are in place to build a broader and deeper technical capability with a focus on the Microsoft Azure technology stack.

The position of Data Engineer is a key role in the wider capability of our team. Occasional visits to our Head Office and customers sites will be required.

Key responsibilities:

  • Identify, design, and implement working practices across data pipelines, data architectures, testing and deployment

  • Understand complex business requirements and providing solutions to business problems

  • Understand modern data architecture approaches and associated cloud focused solutions

  • Defining data engineering best practice and sharing across the organisation

  • Collaborating with the wider team on data strategy

    Skills and experience:

  • A relevant Bachelors degree in Computing, Mathematics, Data Science or similar (ideal but not essential)

  • A Masters degree in Data Science (ideal but not essential)

  • Experience building data pipelines with modern practices including the use of cloud native technologies, DevOps practices, CI/CD pipelines and agile delivery

  • Experience with data modelling, data warehousing, data lake solutions

  • Able to communicate effectively with senior stakeholders.

    Successful candidates will likely posses Azure certifications such as DP-600 and/or DP-700.

    Also, applicants will have experience working with some of the following technologies:

  • Power BI

  • Power Apps

  • Blob storage

  • Synapse

  • Azure Data Factory (ADF)

  • IOT Hub

  • SQL Server

  • Azure Data Lake Storage

  • Azure Databricks

  • Purview

  • Power Platform

  • Python

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.

Seasonal Hiring Peaks for AI Jobs: The Best Months to Apply & Why

The artificial intelligence sector has transformed from a niche technology field into one of the UK's most dynamic employment markets. With AI roles ranging from machine learning engineers to data scientists and AI product managers commanding average salaries between £45,000 and £120,000, timing your job search strategically can significantly impact your success rate. Understanding when companies typically hire for AI positions—and why these patterns exist—can give you a competitive edge in landing your dream role. Unlike traditional industries with predictable seasonal fluctuations, the AI job market follows distinct patterns driven by corporate budgets, educational cycles, and technological project timelines. This comprehensive guide explores the optimal months to apply for AI jobs in the UK, helping you align your career moves with industry hiring peaks.

Breaking Into Generative AI: A Beginner's Complete Guide to Starting Your Career in 2025/26

Are you fascinated by AI tools like ChatGPT, DALL-E, or Midjourney but unsure how to turn that interest into a career? You're not alone. The generative AI revolution has created thousands of new job opportunities across the UK, and many don't require a computer science degree or years of coding experience. Whether you're a recent graduate, considering a career change, or simply curious about this exciting field, this comprehensive guide will show you exactly how to break into generative AI jobs.

Pre-Employment Checks for AI Jobs: DBS, References & Right-to-Work and more Explained

The artificial intelligence sector in the UK is experiencing unprecedented growth, with companies across industries seeking talented professionals to drive digital transformation. However, securing a position in this competitive field involves more than just demonstrating technical expertise. Pre-employment checks have become an integral part of the hiring process for AI jobs, ensuring organisations maintain security, compliance, and trust whilst building their teams. Whether you're a data scientist, machine learning engineer, AI researcher, or technology consultant, understanding the pre-employment screening process is crucial for navigating your career journey successfully. This comprehensive guide explores the various types of background checks you may encounter when applying for AI positions in the UK, from basic right-to-work verification to enhanced security clearance requirements.