At a Glance
- Tasks: Build and enhance scalable data pipelines using Azure and Databricks.
- Company: Established data team in a dynamic tech environment.
- Benefits: Flexible hybrid working, modern tech exposure, and excellent benefits package.
- Other info: Great opportunity for career growth and development in data engineering.
- Why this job: Join a collaborative team and work with cutting-edge Azure technologies.
- Qualifications: Experience with Azure tools, SQL, and strong communication skills.
The predicted salary is between 63000 - 77000 £ per year.
I'm recruiting for a Data Engineer to join an established data team, working on the development and improvement across Azure and Databricks. The role will focus on building scalable data pipelines, integrating data from a range of systems and transforming it into reliable, analytics-ready datasets. You'll work across the full engineering lifecycle, from ingestion and transformation through to data modelling, optimisation and supporting data solutions. You'll be working with Azure Databricks, Data Factory, Synapse, Data Lake, SQL and Python/PySpark.
Key responsibilities:
- Build and enhance data pipelines across Azure and Databricks
- Develop ETL/ELT solutions to integrate data from multiple business systems and sources
- Transform and model data for use across analytics and reporting
- Support the ongoing development of the organisation's Data Lake and wider cloud data environment
- Troubleshoot pipeline and data issues, improving performance and reliability
- Help maintain strong standards around data quality, governance and security
- Work closely with Data, BI and the business to understand requirements and deliver effective solutions
- Contribute to engineering standards, documentation and the ongoing development of the platform
Key experience:
- Experience with Azure Databricks
- Azure Data Factory
- Azure Synapse Analytics
- Azure Data Lake Storage
- SQL and Python
- Understanding of data warehousing and ETL principles
- Strong communication and stakeholder engagement skills
What's on offer:
- Flexible hybrid working environment
- Opportunity to work with a modern Azure data platform
- Exposure to the latest Azure technologies in a collaborative team investing heavily in both people and technology
- Excellent benefits package
Data Engineer in Stafford 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 Data Engineer in Stafford
✨Get Involved in Data Science Meetups
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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 Data Engineer in Stafford
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
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.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Amtis Professional Ltd. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
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!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Amtis Professional Ltd!
✨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.
