At a Glance
- Tasks: Design and develop scalable Azure data pipelines and ETL solutions.
- Company: Innovative business investing in its Azure data platform.
- Benefits: Flexible hybrid working, excellent benefits package, and career development opportunities.
- Other info: Collaborative team environment with a focus on innovation and continuous improvement.
- Why this job: Work with cutting-edge Azure technologies and shape a modern data estate.
- Qualifications: Experience with Azure Databricks, Data Factory, and strong SQL and Python skills.
I'm working with a business that's continuing to invest in its Azure data platform and is looking for a Senior Data Engineer to help shape and develop its modern data estate. You'll play a key role in designing and building scalable Azure data solutions, developing robust data pipelines, and supporting a growing analytics platform. Working across Azure Databricks, Data Factory, Synapse Analytics and Azure SQL, you'll help deliver reliable, secure and high-performing data solutions while collaborating closely with technical and business stakeholders. This is an opportunity to work with modern Azure technologies in a business that values innovation and continuous improvement.
Key responsibilities:
- Design and develop scalable Azure data pipelines and ETL solutions
- Build and optimise Azure-based data warehouses and data lakes
- Improve platform performance, reliability and scalability
- Collaborate with business and technical stakeholders to deliver data solutions
- Support data governance, security and best practice across the platform
- Contribute to the continuous evolution of the Azure data platform
Key experience:
- Azure Databricks
- Azure Data Factory
- Azure Synapse Analytics
- Azure Data Lake Storage
- Advanced SQL and Python
- CI/CD with Azure DevOps
- Strong stakeholder engagement and communication skills
What's on offer:
- Flexible hybrid working environment
- Opportunity to influence and develop a modern Azure data platform
- Work with the latest Azure technologies in a collaborative team with genuine investment in both people and technology
- Excellent benefits package
If you'd be interested in finding out more, or know someone who could be a good fit, please get in touch.
Senior Data Engineer in Burton upon Trent employer: Amtis Professional Ltd
As a Senior Business Analyst at our Worcestershire location, you will thrive in a supportive and dynamic work culture that prioritises employee growth and well-being. We offer competitive salaries, flexible working arrangements, and tailored professional development opportunities, ensuring you can achieve your career aspirations while contributing to meaningful projects that align with our strategic objectives.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in Burton upon Trent
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Amtis Professional Ltd.
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We think you need these skills to ace Senior Data Engineer in Burton upon Trent
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Amtis Professional Ltd, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
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How to prepare for a job interview at Amtis Professional Ltd
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
