Databricks Data Engineer

Newcastle upon Tyne
3 months ago
Applications closed

Related Jobs

View all jobs

Databricks Data Engineer

Senior Data engineer - Databricks

Lead Data Engineer

Databricks SME and AWS Data Engineer

Data Engineering Product Owner, Technology, Data Bricks, Microsoft

Data Engineering Product Owner, Technology, Data Bricks, Microsoft Stack

Contract Data Engineer - Databricks & Azure (SC Cleared)

Location: Newcastle (2-3 days onsite per week)
Rate: £450 per day (Outside IR35)
Duration: 6 months
Clearance: Active SC clearance is mandatory
Expenses: Not reimbursed - candidates must be based in or near Newcastle

About the Role

We are seeking an experienced Data Engineer with strong expertise in Databricks and Azure to join a high-profile Public Sector project. This is a 6-month contract, outside IR35, requiring Security Clearance (SC) and regular onsite presence in Newcastle.

Key Responsibilities

Design, develop, and maintain scalable data pipelines using Databricks on Azure.
Build and optimize data solutions leveraging Azure Data Services (e.g., Data Lake, Synapse).
Work with large datasets to enable advanced analytics and reporting.
Collaborate with stakeholders to deliver high-quality data solutions aligned with project objectives.
Ensure compliance with public sector security and governance standards.

Essential Skills

Proven experience in Data Engineering within complex environments.
Strong hands-on expertise with Databricks and Azure (Data Lake, Synapse, etc.).
Solid understanding of cloud-based data platforms and ETL processes.
Active SC Clearance (must be in place before starting).
Ability to work onsite in Newcastle 2-3 days per week.

Nice to Have

Experience in Public Sector projects.
Knowledge of data governance and security frameworks.Interested?
Apply now with your CV and availability. Please note: Candidates without active SC clearance or unable to commute to Newcastle will not be considered.

To discuss this role further please submit your CV or contact Brandon Forbes

Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK offering more opportunities across the country than any other recruitment agency. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, and the London Fabric User Group. We are the global leaders in Data & AI recruitment

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.

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

Jobs

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.