At a Glance
- Tasks: Design and develop scalable data platforms to maximise value from data assets.
- Company: Join OurCoop, a forward-thinking organisation focused on data-driven decision-making.
- Benefits: Enjoy discounts, 30 days annual leave, health programmes, and full training.
- Other info: Dynamic team environment with opportunities for personal and professional growth.
- Why this job: Make a real impact by driving innovation in data engineering and analytics.
- Qualifications: Strong knowledge of Microsoft tech stack, SQL, Python, and data modelling principles.
The predicted salary is between 63000 - 77000 £ per year.
In this exciting role as a Data Engineer, you’ll play a pivotal role in ensuring OurCoop maximises value from its data assets through the delivery of scalable, secure and reliable data platforms. You will be responsible for the design, development and operation of data pipelines and architecture that underpin reporting, analytics, AI and data-driven decision-making across the Society. You will drive engineering excellence, platform innovation and continuous improvement while supporting the organisation's wider data strategy.
Collaborating with the wider Data & Analytics team of managers, engineers and developers, you’ll apply your technical expertise to design and deliver trusted data products and services. Design, adapt and maintain ETL/ELT processes that ingest, cleanse, transform and structure data, ensuring they remain aligned to changing business requirements, source system changes and data quality standards. You will demonstrate a knowledge of the structure and meaning of data in both internal and external sources, and help create logical and physical operational data stores, staging areas, models, analytical datasets and data products. As well as helping to shape the data and analytics strategy, you’ll apply your technical skills and knowledge to design, deliver and implement data solutions, applying industry and team best practices and governance.
Who are we looking for?
Due to the nature of the role, you’ll need a strong working knowledge of the Microsoft technology stack in the data and analytics area including Fabric, Lakehouse Medallion Architecture, ADF, PySpark Notebooks, Azure Data Lake and Storage, and Synapse. We are looking for someone who is a problem solver and who can demonstrate:
- Strong expertise in SQL, Python, PySpark and building data pipelines in Microsoft Fabric technologies.
- Experience designing and operating enterprise data platforms and data warehouses.
- A solid understanding of data concepts and data modelling principles, applied across traditional warehousing and modern data lakes.
- Practical experience using Microsoft Azure DevOps and CI/CD.
- Experience delivering ETL/ELT solutions and modern data architectures.
- Strong understanding of data modelling approaches including Kimball and Medallion architectures.
- Experience implementing data governance, security and quality controls.
Desirable, but not a requirement:
- Experience developing solutions using the wider Microsoft Power Platform (Power BI, Power Apps, Power Automate).
- Experience with dbt, Airflow or equivalent orchestration tools.
- Experience supporting AI, machine learning or advanced analytics platforms.
- Knowledge of Data Mesh principles.
- Experience working within agile delivery frameworks.
- Experience building Azure Functions.
What can we offer you?
- Employee Discounts – Save up to 60% off Childcare, 20% off your Food Shop and 15% off your next Holiday
- 30 Days Annual Leave - Rising with service up to a maximum of 37 days
- Health and Wellbeing Programmes – Benefit from our Stream App and our partnership with Grocery Aid for financial and mental health support
- Full Training and Accredited Development Plans
- Enhanced Maternity, Paternity and Family leave and more!
Apply today! If you would like more information, please email our team at [email protected]
Data Engineer employer: Your Coop
At OurCoop, we pride ourselves on being an exceptional employer that values innovation and collaboration. As a Data Engineer, you'll not only contribute to cutting-edge data solutions but also enjoy a supportive work culture that prioritises employee growth through comprehensive training and development programmes. With generous benefits like enhanced leave options and significant discounts, OurCoop is committed to ensuring a rewarding and fulfilling experience for all its employees.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Your Coop!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Engineer at Your Coop.
✨Leverage Professional Networks
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 Your Coop.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at Your Coop, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Engineer
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 Your Coop, 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 Your Coop. 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 Your Coop
✨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 Your Coop!
✨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.
