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- Tasks: Design and optimise data pipelines using AWS and Databricks, driving best practices in data engineering.
- Company: Join ShareForce, a leader in data analytics and AI with a collaborative team.
- Benefits: Competitive daily rate, hybrid work model, and opportunities for professional growth.
- Why this job: Make an impact in cutting-edge data solutions while mentoring junior engineers.
- Qualifications: Experience with AWS, Databricks, Python, and SQL; SC Clearance required.
- Other info: Exciting contract role with potential for extension and travel to client site.
The predicted salary is between 36000 - 60000 £ per year.
Join to apply for the Databricks Engineer - SC Cleared role at ShareForce. 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 AWS ecosystem.
Responsibilities
- Design, build, and optimise end-to-end data pipelines using AWS and Databricks, including Delta Live Tables.
- Collaborate with stakeholders to define technical requirements and propose Databricks-based solutions.
- Drive best practices for data engineering.
- Help clients realise the potential of data science, machine learning, and scaled data processing within AWS / 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 AWS 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.
- Good experience with CI/CD practices and tools for data platforms.
- Good knowledge on how to leverage AI to increase deployment productivity and quality.
- Excellent communication skills.
Desirable: certification in Databricks Data Engineer and/or AWS Data Engineer.
Additional Information
- Rate offered: £500‐550 per day
- IR35 Status: Outside
- Location: Hybrid with 1 day per week travel to client site in the North East
- Start date: January
- Duration: 3 months initial sign up with significant opportunity for extension
- Required: Active SC Clearance
- Seniority level: Mid‐Senior level.
- Employment type: Full‐time.
- Job function: Engineering and Information Technology.
Databricks Engineer - SC Cleared in London employer: Shareforce
Contact Detail:
Shareforce Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Databricks Engineer - SC Cleared in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Databricks or AWS. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects using Databricks and AWS. This could be anything from data pipelines to machine learning models. Having tangible examples can really impress potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to Databricks and AWS. Practice explaining your thought process while solving problems, as this will demonstrate your expertise and communication skills.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Databricks Engineer - SC Cleared in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Databricks Engineer role. Highlight your experience with AWS and Databricks, especially any hands-on work with Delta Live Tables and data pipelines. We want to see how your skills match what we're looking for!
Showcase Your Projects: Include specific projects where you've designed and implemented data solutions. If you've mentored junior engineers or driven best practices, let us know! Real-world examples can really make your application stand out.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about this role and how you can contribute to our team. We love seeing passion and enthusiasm for data engineering and AI.
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team at ShareForce.
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 implemented data solutions in AWS using Databricks, 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 Lakehouse Architecture
Familiarise yourself with lakehouse architecture and be prepared to discuss its benefits over traditional data warehousing. This understanding will show that you can contribute to discussions about optimising data pipelines effectively.
✨Communicate Clearly and Confidently
Since excellent communication skills are highlighted in the job description, practice articulating your thoughts clearly. Be ready to explain technical concepts in a way that stakeholders can understand, as collaboration is key in this role.
