At a Glance
- Tasks: Build and optimise data pipelines using SQL, Python, and Spark.
- Company: Join Allegis Global Solutions working with Microsoft on exciting projects.
- Benefits: Competitive pay, hands-on experience, and a chance to work with cutting-edge tech.
- Other info: 12-month contract with opportunities for growth and learning.
- Why this job: Make an impact by improving data processes in a dynamic environment.
- Qualifications: Strong coding skills and problem-solving ability required.
The predicted salary is between 37800 - 40380 £ per year.
Providing services to Microsoft via Allegis Global Solutions (AGS) as a contract role. If selected, you will be employed by AGS, not Microsoft.
This role is for a hands‑on Data Engineer focused on building and improving data pipelines using SQL, Python, Spark, and Azure tools such as Databricks and Azure Data Factory. The individual will work under senior guidance to deliver reliable, high‑quality ETL/ELT pipelines and support ongoing modernization efforts.
Responsibilities include:
- Pipeline optimisation, data quality checks, and production issue troubleshooting
- Contributing to workflow improvements
- Implementing governance changes such as Unity Catalog
- Maintaining clear technical documentation
Strong coding skills, problem‑solving ability, and experience in agile, production environments are required.
Key Qualifications & Responsibilities:
- Build and maintain data pipelines (ETL/ELT) using SQL, Python, and Spark
- Work on Databricks and Azure Data Factory (ADF) pipelines
- Support Unity Catalog migration tasks
- Add data quality checks and monitoring alerts
- Troubleshoot pipeline failures and production issues
- Follow existing workflow/orchestration standards
- Write documentation, runbooks, and operational notes
Preferred Qualifications:
- Working experience with Apache Spark
- Experience building and maintaining data pipelines
- Experience with Git (code reviews, pull requests, collaboration)
- Ability to debug pipeline failures and data issues
- Experience working in Agile delivery teams
Desired Qualifications:
- Exposure to Unity Catalog or other data governance frameworks
- Experience with Azure DevOps
- Exposure to event‑driven or telemetry data systems
Location: Atherstone, England
Duration: 12 months
Pay Range: £180/day to £195/day (PAYE)
Weekly Schedule: 40 hours
Data Engineer (contract) in Atherstone employer: Microsoft Corporation
As a contract Data Engineer with Allegis Global Solutions, you will be part of a dynamic team dedicated to delivering high-quality data solutions for Microsoft. Our work culture fosters collaboration and innovation, providing you with opportunities for professional growth while working with cutting-edge technologies like Azure and Databricks. Located in Atherstone, you'll enjoy a supportive environment that values your contributions and encourages continuous learning, making it an excellent place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer (contract) in Atherstone
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We think you need these skills to ace Data Engineer (contract) in Atherstone
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Microsoft Corporation, 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 Microsoft Corporation, 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 Microsoft Corporation’s attention and show the tangible impact of your work.
How to prepare for a job interview at Microsoft Corporation
✨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 Microsoft Corporation.
✨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 Microsoft Corporation.
✨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 Microsoft Corporation.
