Data Engineer in London

Data Engineer in London

London Full-Time 57402 - 57402 £ / year (est.) No working from home possible
Borough of Newham

At a Glance

  • Tasks: Design and build scalable data pipelines using Microsoft Fabric, Azure, and SQL.
  • Company: Join Newham's Data Team and make a difference in local governance.
  • Benefits: Competitive salary and the chance to work with modern cloud technologies.
  • Other info: Inclusive environment committed to diversity and professional growth.
  • Why this job: Shape the Council's strategic data platform while enhancing services for residents.
  • Qualifications: Experience in data engineering and a passion for improving data quality.

The predicted salary is between 57402 - 57402 £ per year.

Join Newham's Data Team as a Data Engineer and play a key role in delivering the Council's modern Enterprise Data Platform. Working with Microsoft Fabric, Azure and SQL technologies, you will design, build and support scalable data pipelines and data products that enable high-quality reporting, analytics and data-driven decision making across the organisation.

You will work with a wide range of Council services and stakeholders to integrate data from multiple operational systems, improve data quality and deliver robust, reusable solutions that support better services for residents. This is an exciting opportunity to work with modern cloud data technologies while helping shape the Council's strategic data platform and engineering standards.

We are committed to creating an inclusive, anti-racist environment for all. When you apply for a job at Newham, your application is considered on its merits regardless of your age, disability, ethnicity, faith, gender identity or sexual orientation. If you share our vision and values, and you bring the experience and skills we need, that’s all that matters to us.

The London Borough of Newham has important responsibilities for safeguarding and promoting the welfare of children, young people and vulnerable adults. If you are appointed to a job that involves working with these groups, you may be subject to a Disclosure and Barring Service (DBS) check.

Please attach your supporting statement, explaining in no more than x2 A4 sides why and how you meet the criteria for this role. We practice anonymised recruitment. Please ensure that you remove all personal information from any documents that you upload.

Data Engineer in London employer: Borough of Newham

Newham Council is an excellent employer, offering a supportive and inclusive work environment for Waste HGV Drivers. With competitive pay and flexible shift patterns, employees can enjoy a fulfilling career while contributing to the community's cleanliness and sustainability goals. The council prioritises employee growth and development, ensuring that staff have the opportunity to thrive in their roles and make a meaningful impact in the borough.

Borough of Newham

Contact Details:

Borough of Newham Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Engineer in 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 Borough of Newham!

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 Borough of Newham.

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 Borough of Newham.

Apply Directly through Our Website

When you find a suitable opening like Data Engineer at Borough of Newham, 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 in London

Communication Skills
Python
SQL
Problem-Solving Skills
Automation
Data Engineering
Data Pipeline Development

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 Borough of Newham, 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 Borough of Newham. 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 Borough of Newham

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 Borough of Newham!

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.