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- Tasks: Design and optimise data solutions using cutting-edge technologies in a collaborative team.
- Company: Prestigious ecommerce business with a global presence and innovative tech landscape.
- Benefits: Competitive salary, hybrid work model, and an attractive benefits package including bonuses.
- Why this job: Join a dynamic team and make a real impact on global data strategies.
- Qualifications: 2+ years as a Data Engineer with skills in Azure, SQL, and Python.
- Other info: Exciting career growth opportunities in a fast-paced environment.
The predicted salary is between 55000 - 70000 £ per year.
A fantastic opportunity is available for a Data Engineer that enjoys working in a fast-paced and collaborative team environment. Our client is a prestigious and successful ecommerce/wholesale business trading globally. They have been expanding at a remarkable pace and have transformed their technical landscape with leading-edge solutions. Having implemented a new MS Fabric based Data platform, the need is now to scale up and deliver data-driven insights and strategies across the business globally.
The Data Engineer will be joining a close-knit friendly team that is the hub of our client's global data & analytics operation. The role would suit a mid-level data engineer or a junior engineer with 2 years experience looking to take the next step up. Previous experience with MS Fabric would be beneficial but is not essential. Interested candidates must have experience in a similar role with MS Azure Data Platforms, Synapse, Databricks or other Cloud platforms such as AWS, GCP, Snowflake etc.
Key Responsibilities- Design, implement, and optimize end-to-end solutions using Fabric components:
- Data Factory (pipelines, orchestration)
- Data Engineering (Lakehouse, notebooks, Apache Spark)
- Data Warehouse (SQL endpoints, schemas, MPP performance tuning)
- Real-Time Analytics (KQL databases, event ingestion)
- Manage and enhance OneLake architecture, delta lake tables, security policies, and data governance within Fabric.
- Build scalable, reusable data assets and engineering patterns that support analytics, reporting, and machine learning workloads.
- Proven 2+ years experience as a Data Engineer or similar role, with a strong focus on PySpark, SQL, Microsoft Azure Data platforms and Power BI an advantage.
- Proficiency in development languages suitable for intermediate-level data engineers, such as:
- Python / PySpark: Widely used for data manipulation, analysis, and scripting.
- SQL: Essential for querying and managing relational databases.
This is a hybrid role based in Central / West London with the flexibility to work from home 2 or 3 days per week. Salary will be dependent on experience and likely to be in the region of £55,000 - £70,000 + an attractive benefits package including bonus scheme.
Data Engineer in City of London employer: Youngs Employment Services
Contact Detail:
Youngs Employment Services Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in City of London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, attend meetups, and engage in online forums. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving MS Azure Data platforms or PySpark. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your past projects and how you've tackled challenges. Confidence is key, so let your passion for data shine through!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Data Engineer in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with MS Azure Data Platforms, PySpark, and SQL. We want to see how your skills match what we're looking for!
Showcase Your Projects: Include any relevant projects you've worked on that demonstrate your data engineering skills. Whether it's a personal project or something from a previous job, we love seeing practical examples of your work.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about this opportunity and how you can contribute to our team. Keep it concise but engaging – we want to get to know you!
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can't wait to hear from you!
How to prepare for a job interview at Youngs Employment Services
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially MS Azure Data Platforms and PySpark. Brush up on your SQL skills too, as they’ll likely ask you to demonstrate your knowledge during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled data-related issues. Think about challenges you've faced in previous roles and how you resolved them. This will highlight your analytical thinking and attention to detail.
✨Collaborate Like a Pro
Since the role involves working closely with data scientists and analysts, be ready to talk about your experience in collaborative environments. Share instances where teamwork led to successful project outcomes, showcasing your communication skills.
✨Ask Insightful Questions
At the end of the interview, don’t shy away from asking questions. Inquire about the team dynamics, the data projects they’re currently working on, or how they measure success in this role. This shows your genuine interest and helps you assess if it’s the right fit for you.
