At a Glance
- Tasks: Design and optimise data pipelines using Azure Databricks and mentor junior engineers.
- Company: Join a leading tech team at ShareForce, focused on data analytics and AI.
- Benefits: Competitive daily rate, hybrid work, and opportunities for contract extension.
- Other info: Exciting opportunity for career growth in a dynamic environment.
- Why this job: Be at the forefront of data science and make a real impact in tech.
- Qualifications: Experience with Azure Databricks, Python, SQL, and strong coding skills required.
This is an exciting contract opportunity for an SC Cleared Databricks Engineer to join an experienced team in a new customer engagement working at the forefront of data analytics and AI. This role offers the chance to take a key role in the design and delivery of advanced Databricks solutions within the Azure ecosystem.
Responsibilities:
- Design, build, and optimise end-to-end data pipelines using Azure Databricks, including Delta Live Tables.
- Collaborate with stakeholders to define technical requirements and propose Databricks-based solutions.
- Help clients realise the potential of data science, machine learning, and scaled data processing within Azure / Databricks ecosystem.
- Mentor junior engineers and support their personal development.
- Take ownership for the delivery of core solution components.
- Support with planning, requirements refinements, and work estimation.
Skills & Experiences:
- Proven experience designing and implementing data solutions in Azure using Databricks as a core platform.
- Hands‑on expertise in Delta Lake, Delta Live Tables and Databricks Workflows.
- Strong coding skills in Python and SQL, with experience in developing modular, reusable code in Databricks.
- Deep understanding of lakehouse architecture, with a solid grasp of data warehousing, data lakes, and real‑time data processing.
- Familiar with Azure Data Factory, Azure Synapse Analytics, and Microsoft Fabric.
- Good experience with CI/CD practices and tools for data platforms using Azure DevOps.
- Good knowledge on how to leverage AI to increase deployment productivity and quality.
Desirable: certification in Databricks Data Engineer and/or Azure Data Engineer are a plus.
Additional Information:
- Rate offered: £500‑550 per day
- Location: Hybrid with travel to client site in the North East
- Duration: 3 months initial sign up with significant opportunity for extension
- Required: Active SC Clearance
- Seniority level: Mid‑Senior level
- Employment type: Contract
- Job function: Consulting
Databricks Engineer - SC Cleared in Newcastle upon Tyne employer: Shareforce
At ShareForce, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Located in the vibrant city of Newcastle Upon Tyne, our team thrives on the opportunity to work at the cutting edge of data analytics and AI, while also benefiting from a strong focus on employee growth and mentorship. With competitive rates and a commitment to supporting our engineers in their professional development, we offer a unique environment where your contributions truly matter.
StudySmarter Expert Advice🤫
We think this is how you could land Databricks Engineer - SC Cleared in Newcastle upon Tyne
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with Databricks or Azure. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best Databricks projects. This could be anything from data pipelines to machine learning models. Having tangible examples of your work can really impress potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to Databricks and Azure. We recommend practicing coding challenges in Python and SQL to keep your skills sharp and ready for any technical assessments.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates. Plus, we love seeing passionate applicants!
We think you need these skills to ace Databricks Engineer - SC Cleared in Newcastle upon Tyne
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Databricks Engineer role. Highlight your experience with Azure, Databricks, and any relevant projects you've worked on. We want to see how your skills match what we're looking for!
Showcase Your Skills:In your application, don’t just list your skills—show us how you've used them! Include specific examples of how you've designed and implemented data solutions using Databricks and Azure. This will help us understand your hands-on expertise.
Be Clear and Concise:When writing your application, keep it clear and to the point. Use bullet points where possible to make it easy for us to read. We appreciate a well-structured application that gets straight to the good stuff!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and we’ll be able to track your application better. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Shareforce
✨Know Your Databricks Inside Out
Make sure you brush up on your Databricks knowledge, especially around Delta Live Tables and workflows. Be ready to discuss how you've designed and optimised data pipelines in Azure, as this will likely come up during the interview.
✨Showcase Your Coding Skills
Prepare to demonstrate your coding prowess in Python and SQL. You might be asked to solve a problem or explain your approach to developing modular, reusable code in Databricks, so have some examples ready to share.
✨Understand the Bigger Picture
Familiarise yourself with lakehouse architecture and how it integrates with data warehousing and real-time processing. Being able to articulate how these concepts fit into the Azure ecosystem will impress your interviewers.
✨Be Ready to Mentor
Since mentoring junior engineers is part of the role, think about your past experiences in guiding others. Prepare to discuss how you've supported team members' development and how you can contribute to a collaborative environment.
