At a Glance
- Tasks: Design and optimise data pipelines using Azure Databricks and collaborate with stakeholders.
- Company: Join a leading team at the forefront of data analytics and AI.
- Benefits: Competitive daily rate, hybrid work, and potential for contract extension.
- Other info: Exciting opportunity with significant career growth in a dynamic environment.
- Why this job: Make an impact in data engineering while mentoring junior engineers.
- Qualifications: Experience with Azure Databricks, Python, SQL, and strong communication skills.
This is an exciting contract opportunity for an SC Cleared Azure Data Engineer with a strong focus on Databricks 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.
- Drive best practices for data engineering.
- 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.
- Excellent communication skills.
- Desirable: certification in Databricks Data Engineerand/or Azure Data Engineer are a plus.
Additional Information:
- Rate offered: £500-550 per day
- Location: Hybrid with travel to client site 1 day/ week in London
- Start date: Mid/ end of July
- Duration: 3 months initial sign up with significant opportunity for extension (current roadmap demonstrates 9 months scope of work)
- Required: Active SC Clearance
Data Engineer - Azure / DataBricks employer: Shareforce
At ShareForce, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of Budock Water. Our commitment to employee growth is evident through tailored development programmes and the chance to engage with significant national projects, ensuring that our team members not only excel in their roles but also advance their careers in meaningful ways.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer - Azure / DataBricks
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Shareforce before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Shareforce.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Shareforce.
We think you need these skills to ace Data Engineer - Azure / DataBricks
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Shareforce, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Shareforce, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Shareforce’s attention and show the tangible impact of your work.
How to prepare for a job interview at Shareforce
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Shareforce.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Shareforce.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Shareforce.
