At a Glance
- Tasks: Design and maintain Azure-based data solutions for impactful research projects.
- Company: Join a leading organisation dedicated to training educators and driving excellence.
- Benefits: Competitive salary, hybrid work, generous holiday, and discounts on various services.
- Other info: Flexible working hours and excellent career development opportunities.
- Why this job: Make a difference by delivering reliable data solutions that support education.
- Qualifications: Experience with Azure Data Factory, T-SQL, and building data pipelines.
The predicted salary is between 60000 - 60000 £ per year.
WeDoData have partnered with a fantastic organisation who are committed to the training and professional development of school educators & leaders and is a national centre of excellence in its own right! My client has a number of ongoing research projects at the moment and require a full-time, permanent Senior Data Engineer to play an important role in building and maintaining the technical infrastructure that supports these projects and also the wider organisation.
As a Senior Data Engineer, you'll design, build, and maintain Azure-based data solutions that provide accurate and reliable data for reporting and decision-making. Using T-SQL, Azure Data Factory (ADF), and Azure SQL Server, you'll develop data pipelines that bring together information from multiple sources and ensure it is stored securely, organised effectively, and easy to access. You'll also maintain Azure SQL databases, improve data quality, and help ensure data is available when it's needed. Working closely with colleagues across the organisation, you'll play an important role in delivering reliable data solutions that support both day-to-day operations and future business needs.
As a minimum, you’ll need the following to be considered:
- Experience building and maintaining reliable data pipelines.
- Strong experience with Azure Data Factory and Azure SQL Server.
- Good T-SQL skills, including database design, stored procedures, and query optimization.
- Experience adding data validation, monitoring, logging, and reconciliation to data pipelines.
- Understanding of secure data architecture and handling sensitive personal data.
- Experience using Azure DevOps, version control, and CI/CD processes.
In return my client can offer:
- Circa £56,000 salary.
- Hybrid working arrangement – 1-2 days per month on-site.
- 27 days’ holiday a year (plus 8 bank holidays).
- Flexible start and end working times.
- Access to the Local Government Pension Scheme.
- Salary sacrifice schemes for bikes, cars and tech.
- Discounts on gyms, cinema, retail and much more.
- Above the statutory minimum for maternity, adoption and paternity leave.
If you'd like the opportunity to discuss this vacancy informally with the hiring manager please call Jay at WeDoData or apply as soon as possible. If this role isn't quite right for you please feel free to share with anyone you think might be better suited.
WeDoData (Bristol) Ltd is committed to safeguarding and promoting the welfare of children and young people and expects all staff, applicants, and clients to share this commitment. Any appointment will be made subject to strict vetting and screening checks and receipt of a satisfactory enhanced DBS check. In accordance with the DfE statutory guidance ‘Keeping Children Safe in Education’, this may also include an online search as part of our due diligence on shortlisted applicants.
Data Engineer in City of London employer: WeDoData
WeDoData is an excellent employer, offering a supportive work culture that prioritises the well-being of its employees while making a meaningful impact in the lives of children with special educational needs. With competitive salaries, generous annual leave, and a commitment to employee growth, this role in Greater London provides a unique opportunity to thrive in a fulfilling environment dedicated to social responsibility.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in City of London
✨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 WeDoData!
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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 WeDoData.
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We think you need these skills to ace Data Engineer in City of London
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 WeDoData, 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 WeDoData. 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 WeDoData
✨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 WeDoData!
✨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.
