Databricks Data Engineer

Newcastle upon Tyne
2 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Databricks SME and AWS Data Engineer

Data Engineering Product Owner, Technology, Data Bricks, Microsoft

Data Engineer

Lead Data Engineer

Data Engineer

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 Data Engineering Tools Do You Need to Know to Get a Data Engineering Job?

If you’re aiming for a career in data engineering, it can feel like you’re staring at a never-ending list of tools and technologies — SQL, Python, Spark, Kafka, Airflow, dbt, Snowflake, Redshift, Terraform, Kubernetes, and the list goes on. Scroll job boards and LinkedIn, and it’s easy to conclude that unless you have experience with every modern tool in the data stack, you won’t even get a callback. Here’s the honest truth most data engineering hiring managers will quietly agree with: 👉 They don’t hire you because you know every tool — they hire you because you can solve real data problems with the tools you know. Tools matter. But only in service of outcomes. Jobs are won by candidates who know why a technology is used, when to use it, and how to explain their decisions. So how many data engineering tools do you actually need to know to get a job? For most job seekers, the answer is far fewer than you think — but you do need them in the right combination and order. This article breaks down what employers really expect, which tools are core, which are role-specific, and how to focus your learning so you look capable and employable rather than overwhelmed.

Jobs

What Hiring Managers Look for First in Data Engineering Job Applications (UK Guide)

If you’re applying for data engineering jobs in the UK, the first thing to understand is this: Hiring managers don’t read every word of your CV. They scan it. They look for signals of relevance, credibility, delivery and collaboration — and if they don’t see the right signals quickly, your application may never get a second look. In data engineering, hiring managers are especially focused on whether you can build and operate reliable, scalable data systems, handle real-world data challenges and work effectively with analytics, BI, data science and engineering teams. This guide breaks down exactly what they look at first in your application — and how to shape your CV, portfolio and cover letter so you stand out.

Education

The Skills Gap in Data Engineering Jobs: What Universities Aren’t Teaching

Data engineering has quietly become one of the most critical roles in the modern technology stack. While data science and AI often receive the spotlight, data engineers are the professionals who design, build and maintain the systems that make data usable at scale. Across the UK, demand for data engineers continues to rise. Organisations in finance, retail, healthcare, government, media and technology all report difficulty hiring candidates with the right skills. Salaries remain strong, and experienced professionals are in short supply. Yet despite this demand, many graduates with degrees in computer science, data science or related disciplines struggle to secure data engineering roles. The reason is not academic ability. It is a persistent skills gap between university education and real-world data engineering work. This article explores that gap in depth: what universities teach well, what they consistently miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data engineering.

🍪 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.