At a Glance
- Tasks: Design and build scalable data pipelines using modern technologies.
- Company: Join a forward-thinking team in a dynamic tech environment.
- Benefits: Up to £60,000 salary, hybrid work model, and professional growth opportunities.
- Other info: Collaborative culture with excellent career advancement potential.
- Why this job: Make an impact with cutting-edge data solutions while enjoying flexibility.
- Qualifications: Experience with Python, Spark, and modern data platforms required.
The predicted salary is between 43200 - 72000 £ per year.
Are you the right applicant for this opportunity? Find out by reading through the role overview below.
We are seeking a skilled Data Engineer to join a growing team delivering modern, scalable data solutions. This is a permanent opportunity offering a hybrid model, with one day per week in London Victoria and the remainder working remotely.
You will play a key role in designing, building, and optimising data pipelines and platforms, supporting advanced analytics and business intelligence initiatives.
Key Responsibilities
- Design and develop scalable data pipelines and data processing solutions
- Work with modern data platforms such as Microsoft Fabric, Databricks, or similar technologies
- Build and optimise data solutions using Python, Spark, PySpark, and/or SQL
- Support data integration, transformation, and performance optimisation
- Collaborate with stakeholders to ensure high-quality, reliable data architecture
Essential Skills & Experience
- Hands-on experience with Microsoft Fabric, Databricks, or equivalent modern data platforms
- Strong coding experience in Python and/or Spark/PySpark
- Solid SQL skills and experience working with structured datasets
Desirable Experience
- Knowledge of relational database design, normalisation, and data modelling
- Experience designing efficient, scalable data architectures
This is an excellent opportunity for a data professional looking to work with modern tooling in a flexible, forward-thinking environment.
Data Engineer employer: Lynx Recruitment Ltd
Join a dynamic and innovative team as a Java Developer in the heart of London, where you'll have the opportunity to work on large-scale, enterprise-grade applications. Our hybrid work model promotes a healthy work-life balance, while our commitment to employee growth ensures you will have access to continuous learning and career advancement opportunities. With a competitive salary and a collaborative work culture, we are dedicated to fostering an environment where your contributions are valued and recognised.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and projects. This gives potential employers a taste of what you can do, especially with tools like Python and Spark.
✨Tip Number 3
Prepare for those interviews! Brush up on your SQL and coding skills, and be ready to discuss your experience with data platforms like Microsoft Fabric and Databricks. Practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented Data Engineers, and applying directly can give you a better shot at landing that dream job.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with data pipelines and platforms like Microsoft Fabric or Databricks. We want to see how your skills align with the role, so don’t be shy about showcasing your Python and SQL expertise!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how you can contribute to our team. We love seeing enthusiasm and a bit of personality in your application.
Showcase Relevant Projects:If you've worked on any projects that involved building or optimising data solutions, make sure to mention them. We’re keen to see real-world examples of your work, especially if they demonstrate your problem-solving skills.
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’re considered for the role. Plus, it’s super easy and straightforward!
How to prepare for a job interview at Lynx Recruitment Ltd
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Microsoft Fabric, Databricks, and Python. Brush up on your coding skills, especially in Python and SQL, as you might be asked to solve problems or write code during the interview.
✨Showcase Your Projects
Prepare to discuss specific projects where you've designed and built data pipelines. Be ready to explain your thought process, the challenges you faced, and how you optimised your solutions. Real-world examples will help demonstrate your expertise.
✨Understand Data Architecture
Familiarise yourself with concepts of relational database design and data modelling. You might be asked about how you would approach designing a scalable data architecture, so having a solid understanding of these principles will give you an edge.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the team’s current projects, the tools they use, and their approach to data challenges. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
