At a Glance
- Tasks: Design and optimise scalable data platforms 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 or senior technical roles await you.
- 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 organisation 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 organisation'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.
- 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
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.
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.
Senior Azure Data Engineer in Oxford employer: Tenth Revolution Group
Join a forward-thinking organisation that prioritises sustainability and innovation, offering a fully remote working environment for the Senior Azure Data Engineer role. With competitive benefits including up to 25 days of holiday and clear pathways for career progression, you will be part of a dynamic team dedicated to delivering impactful data solutions that drive business success while minimising environmental impact. This is an excellent opportunity to enhance your skills on a modern Azure data platform within a supportive and collaborative culture.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Azure Data Engineer in Oxford
✨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 Tenth Revolution Group.
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We think you need these skills to ace Senior Azure Data Engineer in Oxford
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 Tenth Revolution Group, 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 Tenth Revolution Group. 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 Tenth Revolution Group
✨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 Tenth Revolution Group!
✨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.
