At a Glance
- Tasks: Build and optimise a secure Azure data platform using cutting-edge technologies.
- Company: Join a high-profile programme in the energy sector with a focus on innovation.
- Benefits: Competitive rate, remote work flexibility, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on best practices and career advancement.
- Why this job: Make a real impact by designing and supporting modern data solutions.
- Qualifications: 5+ years as an Azure Data Engineer with strong skills in Databricks and data governance.
The predicted salary is between 63000 - 77000 £ per year.
Azure Data Engineer Location: Primarily Remote (Occasional travel to Mansfield) Contract Length: 3 Months Rate: £450 (Inside IR35)
We are seeking an experienced Azure Data Engineer to join a high-profile programme within the energy sector.
This is an excellent opportunity to play a key role in designing, building and supporting a modern Azure data platform that enables secure, scalable and governed data solutions.
The Role As an Azure Data Engineer, you will be responsible for building and operating an Azure-based data platform, ensuring it provides a secure, scalable and trusted data lake using Azure Databricks.
Working alongside data architects and engineering teams, you will help deliver new data products, onboard data sources and contribute to the ongoing data platform roadmap.
Key Responsibilities
Build, operate and optimise an Azure data platform using Azure Databricks.
Design and support Azure infrastructure for data storage, processing, integration and external data sharing.
Implement data governance, security, access controls, backup, retention and monitoring to maintain the data lake as a trusted single source of truth.
Develop and maintain data ingestion, transformation and data product pipelines.
Collaborate with data architects and engineers to onboard new data sources and deliver business-critical data products.
Support the ongoing development and delivery of the ATLAS data roadmap.
Ensure solutions follow best practices for automation, Infrastructure as Code and CI/CD.
Essential Skills & Experience
5+ years' experience as an Azure Data Engineer.
Strong experience with Azure Databricks.
Azure Data Lake Storage (ADLS).
Azure Data Factory (ADF).
Python.
SQL.
Azure Dev Ops.
CI/CD pipelines.
Infrastructure as Code using Terraform and/or Bicep.
Data governance, security and access control.
Experience designing and supporting enterprise-scale Azure data platforms
Azure Data Platform Engineer in Mansfield employer: BrightBox Group
Join a dynamic and innovative team as a Lead Data Engineer in London, where you'll have the opportunity to work on high-profile projects while enjoying a flexible hybrid work model. Our company fosters a collaborative work culture that prioritises employee growth, offering mentorship opportunities and access to cutting-edge technologies. With competitive daily rates and a focus on professional development, this role is perfect for those seeking meaningful and rewarding employment in the data engineering field.
StudySmarter Expert Advice🤫
We think this is how you could land Azure Data Platform Engineer in Mansfield
✨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 BrightBox Group 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 BrightBox Group.
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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 BrightBox Group.
We think you need these skills to ace Azure Data Platform Engineer in Mansfield
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at BrightBox Group, 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 BrightBox Group, 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 BrightBox Group’s attention and show the tangible impact of your work.
How to prepare for a job interview at BrightBox Group
✨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 BrightBox Group.
✨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 BrightBox Group.
✨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 BrightBox Group.
