At a Glance
- Tasks: Design and build scalable data pipelines using SQL, Spark, and Python.
- Company: Join a forward-thinking company focused on data innovation.
- Benefits: Attractive salary, flexible working options, and opportunities for skill development.
- Other info: Dynamic team environment with great potential for career advancement.
- Why this job: Make an impact by transforming data into actionable insights with cutting-edge tools.
- Qualifications: Experience in data engineering and proficiency in SQL, Spark, and Python.
The predicted salary is between 50000 - 65000 £ per year.
Responsibilities include designing, building, and maintaining scalable, production-grade data pipelines into Databricks. Implement ingestion, transformation, and optimisation patterns using SQL, Spark, and Python. Ensure datasets are performant, reliable, and analytics-ready.
Lead hands-on data mapping from legacy systems into Databricks with downstream implications for Analytics (Tableau) and strong AI use cases (Mulesoft IDP and Data360/Agentforce). Support ingestion and harmonisation of data.
Data Engineer in Peterborough employer: Taylor Rose TTKW Limited
As a leading employer in the tech industry, we offer Data Engineers the opportunity to work on cutting-edge projects in a collaborative and innovative environment. Our commitment to employee growth is reflected in our comprehensive training programmes and career advancement opportunities, all while enjoying a vibrant work culture that values creativity and teamwork. Located in a thriving tech hub, we provide unique advantages such as access to industry events and networking opportunities, making us an excellent choice for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Peterborough
✨Tip Number 1
Network like a pro! Reach out to folks in the data engineering field on LinkedIn or at meetups. We can’t stress enough how personal connections can lead to job opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving SQL, Spark, and Python. We want to see your hands-on experience with data pipelines and analytics tools like Tableau.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding data mapping concepts. We recommend practicing common data engineering problems and being ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Engineer in Peterborough
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with SQL, Spark, and Python. We want to see how you've designed and built data pipelines before, so don’t hold back on those details!
Showcase Your Projects:If you've worked on any projects involving Databricks or data ingestion, be sure to mention them! We love seeing real-world applications of your skills, especially if they relate to analytics and AI.
Be Clear and Concise:When writing your cover letter, keep it straightforward. We appreciate clarity, so get straight to the point about why you’re a great fit for the Data Engineer role and how you can contribute to our team.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Taylor Rose TTKW Limited
✨Know Your Tech Stack
Make sure you’re well-versed in SQL, Spark, and Python. Brush up on your knowledge of data pipelines and how they work in Databricks. Being able to discuss specific projects where you've implemented these technologies will show your hands-on experience.
✨Showcase Your Problem-Solving Skills
Prepare to discuss challenges you've faced in previous roles, especially around data ingestion and transformation. Think about how you optimised datasets for performance and reliability, and be ready to share those stories during the interview.
✨Understand the Bigger Picture
Familiarise yourself with how data flows from legacy systems into Databricks and its implications for analytics tools like Tableau. Being able to connect the dots between data engineering and business outcomes will impress your interviewers.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data strategy and how they leverage AI use cases. This not only shows your interest but also helps you gauge if the role aligns with your career goals.
