At a Glance
- Tasks: Design and build scalable data pipelines using Azure technologies.
- Company: Join a global leader in sustainability-focused chemical cleaning solutions.
- Benefits: Up to £65,000 salary, fully remote work, 25 days holiday, and career progression.
- Other info: Exciting opportunities for leadership and technical advancement.
- Why this job: Make a real impact by solving complex data challenges in a forward-thinking environment.
- Qualifications: Experience with Azure Data Factory, SQL, and Python required.
The predicted salary is between 65000 - 65000 £ per year.
We are seeking a Data Engineer to join a well‑established, international organization operating within a sustainability‑focused industry. Our client is a global leader in chemical cleaning and environmental solutions, offering a fully integrated service across equipment, chemicals and waste management. With decades of experience, they deliver tailored solutions which help businesses perform at their best while reducing environmental impact.
You will play a key role in designing, building and optimising scalable data platforms within Azure, supporting the organization’s evolving data strategy. Working with large, complex datasets and modern cloud technologies, you will deliver robust data pipelines and solutions that power business‑critical reporting, analytics and insights. This role sits within the BI & Data team consisting of both Data Engineers and Data Analysts. It is an ideal opportunity for a hands‑on Data Engineer who enjoys solving complex data challenges and driving continuous improvements in a fast‑paced, forward‑thinking environment.
Responsibilities
- Design, build and maintain scalable data pipelines using Azure Data Factory and Python enabling efficient data ingestion and transformation.
- Develop and manage data solutions using Azure Data Lake, Synapse Analytics and other Azure data services.
- Support integration and migration of key data sources.
- Write, optimise and maintain SQL queries for efficient data transformation and processing.
- Monitor, troubleshoot and improve data quality, performance and reliability across the data platform.
Skills and Experience
- Proven experience as a Data Engineer delivering solutions in cloud‑based environments.
- Strong hands‑on experience with Azure Data Factory, Azure Data Lake and Azure Synapse Analytics.
- Solid understanding of ETL processes, data integration and pipeline development.
- Advanced SQL skills as well as Python/PySpark experience for data processing.
- Exposure to Power BI or other reporting tools is beneficial.
What's on Offer
- Salary up to £65,000.
- Fully remote working (UK‑based).
- 25 days holiday plus bank holidays.
- Exciting progression opportunities with pathways to leadership or senior technical roles.
- Opportunity to work on a modern Azure data platform.
Azure Data Engineer in Reading employer: Cyber Security training courses
As a leading Microsoft Partner, we pride ourselves on fostering a collaborative and innovative work culture that empowers our Dynamics 365 CRM & Power Platform Consultants to thrive. With a strong emphasis on professional development, we offer extensive training opportunities and support for career advancement, all while providing the flexibility of remote work combined with engaging UK travel for workshops and client meetings. Join us to be part of a dynamic team that values your contributions and encourages meaningful impact in the tech landscape.
Contact Details:
Cyber Security training courses Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Azure Data Engineer in Reading
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We think you need these skills to ace Azure Data Engineer in Reading
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 Cyber Security training courses, 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 Cyber Security training courses. 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 Cyber Security training courses
✨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 Cyber Security training courses!
✨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.
