At a Glance
- Tasks: Design and maintain data pipelines, ensuring seamless integration of various SaaS platforms.
- Company: Dynamic multi-entity organisation based in Central London with a hybrid work model.
- Benefits: Competitive salary up to £55,000 plus benefits, including remote work flexibility.
- Other info: Opportunity to work with cutting-edge tools like Microsoft Fabric and Power BI.
- Why this job: Join a tech-savvy team and transform data into a strategic asset for informed decision-making.
- Qualifications: Experience in SQL, Python, and building production-ready data pipelines is essential.
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. It is a 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.
Embark on an exciting journey as a Data Engineer at our dynamic, multi-entity organization. In this permanent role, you'll play a pivotal part in shaping the future of their data landscape, earning a competitive salary range of GBP50,000 - GBP55,000. 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.
Elevate the Customer Experience: Ensure reliable data flow between core systems, empowering teams to deliver exceptional service and insights to valued clients.
Preferred Requirements:
- Proven expertise in building and operating production-ready data pipelines, with a strong background in SQL, Python, and PySpark/Spark.
- Proficiency in building REST API integrations, with a solid understanding of data modelling, ETL/ELT patterns, and modern data warehousing concepts.
- Hands-on experience with Microsoft Fabric (or equivalent lakehouse platform), Power BI Direct Lake semantic models, and Azure services (Key Vault, Blob Storage, Entra ID).
- Demonstrated ability to apply data security, privacy (including GDPR), and governance principles in your engineering work.
- Excellent troubleshooting skills and a methodical approach to root-cause analysis, with the ability to communicate technical decisions to non-technical stakeholders.
Data Engineer in London employer: Broster Buchanan
Join a forward-thinking organisation as a Data Engineer in the heart of Central London, where innovation meets collaboration. Enjoy a hybrid work model that promotes work-life balance, alongside competitive salary and benefits, while being part of a vibrant team dedicated to leveraging cutting-edge technology for impactful data solutions. With ample opportunities for professional growth and development, this role is perfect for those looking to make a meaningful contribution in a dynamic environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the data engineering field. You never know when a casual chat could lead to your next job opportunity.
✨Show Off Your Skills
Don’t just tell them what you can do; show them! Create a portfolio of projects that highlight your data pipeline and integration skills. Whether it’s a GitHub repo or a personal website, let your work speak for itself.
✨Ace the Interview
Prepare for those interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process clearly, especially when it comes to technical concepts like ETL/ELT patterns and data modelling.
✨Apply Through Our Website
Make sure to apply directly through our website! It not only shows your interest but also helps us keep track of your application. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with data pipelines and integration. Use keywords from the job description, like SQL, Python, and GDPR, to show we’re on the same page.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for data engineering and how you can contribute to our team. Mention specific projects or experiences that align with the role.
Showcase Your Technical Skills:Don’t hold back on your technical skills! Highlight your experience with tools like Microsoft Fabric and Power BI. We want to see how you’ve used these in real-world scenarios to solve problems.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any updates from our team!
How to prepare for a job interview at Broster Buchanan
✨Know Your Data Engineering Stuff
Make sure you brush up on your data pipeline and integration skills. Be ready to discuss your experience with SQL, Python, and PySpark, as well as any projects where you've built production-ready data pipelines. This is your chance to showcase how you've transformed data into a strategic asset!
✨Familiarise Yourself with the Tools
Get comfortable with the tools mentioned in the job description, like Microsoft Fabric and Power BI. If you can, try to demonstrate your knowledge of these platforms during the interview. Showing that you're up-to-date with the latest tech will definitely impress them!
✨Understand GDPR and Data Governance
Since data security and governance are crucial, be prepared to discuss how you've applied GDPR principles in your previous roles. Think of specific examples where you ensured data privacy and compliance, as this will show that you take these responsibilities seriously.
✨Communicate Clearly
Remember, you'll likely be talking to both technical and non-technical folks. Practice explaining complex concepts in simple terms. This will not only help you connect better with your interviewers but also demonstrate your ability to bridge the gap between tech and business needs.
