At a Glance
- Tasks: Design and maintain data pipelines while ensuring GDPR compliance.
- Company: Dynamic multi-entity organisation based in Central London.
- Benefits: Competitive salary up to £55,000 plus benefits and hybrid work model.
- Other info: Join a tech-savvy team and embrace cutting-edge technology.
- Why this job: Shape the future of data and drive informed decision-making.
- Qualifications: Experience in data engineering and integration with SaaS platforms.
The predicted salary is between 50000 - 55000 £ per year.
Data Pipeline and Integration design, build and maintenance.
Data Modelling Warehousing in a medallion lakehouse model.
Engineer data flows in line with GDPR and governance framework.
This is a permanent role based in Central London. Hybrid role with 3-4 days in the office and the rest remote. Must be commutable to the Covent Garden area of London.
Salary up to £55,000 + Benefits.
As a key member of a talented team, you'll leverage your exceptional data engineering skills to build and maintain robust data pipelines, seamlessly integrating a diverse suite of SaaS platforms, including NetSuite, Screendragon, SugarCRM, and more.
Unlock the Power of Data: Harness your expertise in data engineering, integration, and pipeline development to transform their data into a strategic asset, driving informed decision-making across the organization.
Embrace Cutting-Edge Technology: Collaborate with a tech-savvy team to leverage the latest tools and platforms, including Microsoft Fabric, PySpark, and Power BI, to build scalable, efficient, and secure data solutions.
Data Engineer employer: Broster Buchanan
Join a forward-thinking organisation in Central London that prioritises innovation and employee development. As a Data Engineer, you'll benefit from a hybrid work model, competitive salary, and a collaborative culture that encourages continuous learning and growth. With access to cutting-edge technology and a focus on data-driven decision-making, this role offers a unique opportunity to make a significant impact while enjoying the vibrant atmosphere of Covent Garden.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the hunt for a new role. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Get your hands dirty with projects! Build a portfolio showcasing your skills in data pipeline design and integration. This will not only impress potential employers but also give you real-world examples to discuss during interviews.
✨Tip Number 3
Prepare for those interviews! Research common data engineering interview questions and practice your answers. Be ready to discuss your experience with tools like Microsoft Fabric and PySpark, as well as how you ensure compliance with GDPR.
✨Tip Number 4
Apply through our website! We make it super easy for you to find and apply for roles that match your skills. Plus, it shows you're genuinely interested in joining our team and helps us keep track of your application.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your data engineering skills and experience relevant to the role. We want to see how you've designed, built, and maintained data pipelines before, so don’t hold back!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're excited about the Data Engineer position and how your background aligns with our needs. Let us know what makes you tick!
Showcase Your Technical Skills:We’re keen on seeing your expertise in tools like Microsoft Fabric, PySpark, and Power BI. Mention specific projects where you’ve used these technologies to solve problems or improve processes.
Apply Through Our Website:To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at Broster Buchanan
✨Know Your Data Engineering Basics
Make sure you brush up on your data engineering fundamentals. Be ready to discuss data pipeline design, integration techniques, and the medallion lakehouse model. Familiarity with GDPR compliance and governance frameworks will also show that you understand the importance of data security.
✨Showcase Your Technical Skills
Prepare to demonstrate your expertise with tools like Microsoft Fabric, PySpark, and Power BI. You might be asked to solve a problem or explain how you've used these technologies in past projects. Bring examples of your work that highlight your ability to build and maintain robust data pipelines.
✨Understand the Company’s Data Landscape
Research the company’s existing data systems and SaaS platforms like NetSuite and SugarCRM. Understanding their current setup will help you tailor your answers and show that you're genuinely interested in how you can contribute to their data strategy.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about the team dynamics, the challenges they face in data integration, and how they measure success in this role. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
