At a Glance
- Tasks: Design and build scalable data pipelines for advanced analytics.
- Company: High-performing engineering team in a vibrant Newcastle city centre.
- Benefits: Impactful projects, ownership, and continuous learning opportunities.
- Other info: Dynamic environment with exposure to modern technologies and practices.
- Why this job: Join a collaborative team and shape the future of data solutions.
- Qualifications: Experience in Data Engineering, strong Python and SQL skills.
The predicted salary is between 45000 - 60000 £ per year.
We are seeking an experienced Data Engineer to join a high-performing engineering team based in Newcastle city centre. This is an opportunity to work on complex, high-impact projects within a collaborative and intellectually stimulating environment. The successful candidate will play a key role in designing, building, and maintaining scalable data platforms and pipelines that support advanced analytics and decision-making.
The Role
As a Data Engineer, you will work closely with technical and non-technical stakeholders to develop reliable, scalable, and high-quality data solutions. You will contribute across the full lifecycle of data product development, from architecture and engineering through to testing, optimisation, and continuous improvement.
Key Responsibilities
- Design and develop scalable data pipelines integrating internal and external data sources
- Build and maintain data-intensive applications and platforms
- Ensure high standards of data quality, reliability, and integrity
- Contribute to the development and testing of new and existing data products
- Troubleshoot and optimise data systems and workflows
- Collaborate with cross-functional teams to improve data accessibility and usability
- Support the adoption of modern engineering practices and emerging technologies
Requirements
- Experience in Data Engineering or a related field
- Strong programming skills in Python and SQL
- Experience building scalable data-intensive systems and pipelines
- Understanding of modern software engineering best practices
- Excellent communication and collaboration skills
- Strong analytical and problem-solving capabilities
- Self-motivated with a strong desire to learn and develop
Experience in Some or All of the Following
- Distributed computing technologies such as Spark and Databricks
- Cloud platforms including AWS, Azure, or GCP
- Workflow orchestration tools such as Airflow
- CI/CD, version control, and infrastructure as code
- Experience within financial services, consulting, or risk environments
What’s on Offer
- Opportunity to make an impact from day one
- Exposure to diverse and challenging projects
- Ownership and autonomy within technical delivery
- Collaborative and high-performing team environment
- Continuous learning and professional development opportunities
- Modern city-centre working environment in Newcastle
Data Engineer: Build Scalable Pipelines & Modern Platforms in Newcastle upon Tyne employer: Experis UK
Join a dynamic and innovative team as a Data Engineer in the heart of Newcastle, where you'll have the chance to work on impactful projects that drive decision-making and analytics. Our collaborative culture fosters continuous learning and professional growth, ensuring you can thrive in your career while enjoying the vibrant city-centre environment. With a focus on modern engineering practices and the latest technologies, we offer you the autonomy to make a real difference from day one.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer: Build Scalable Pipelines & Modern Platforms in Newcastle upon Tyne
✨Tip Number 1
Network like a pro! Reach out to current employees at the company through LinkedIn or local meetups. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving scalable pipelines or cloud platforms. This will help you stand out and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge. Be ready to discuss your experience with Python, SQL, and any relevant tools like Spark or Airflow. Confidence in your skills can make all the difference!
✨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, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Data Engineer: Build Scalable Pipelines & Modern Platforms in Newcastle upon Tyne
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. Highlight your experience with scalable data pipelines and any relevant technologies like Python, SQL, or cloud platforms. We want to see how your skills match what we're looking for!
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. Be sure to mention any specific projects or experiences that relate to the role.
Showcase Your Problem-Solving Skills:In your application, don’t forget to highlight your analytical and problem-solving capabilities. Share examples of challenges you've faced in previous roles and how you overcame them. We love seeing how you tackle complex issues!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the latest updates from us. Plus, it’s super easy!
How to prepare for a job interview at Experis UK
✨Know Your Data Engineering Basics
Make sure you brush up on your data engineering fundamentals. Be ready to discuss your experience with scalable data pipelines, Python, and SQL. Prepare examples of projects where you've built or optimised data systems, as this will show your practical knowledge.
✨Showcase Your Problem-Solving Skills
During the interview, be prepared to tackle some technical challenges or case studies. Think about how you would approach troubleshooting a data pipeline issue or optimising a data-intensive application. This will demonstrate your analytical skills and ability to think on your feet.
✨Communicate Clearly and Collaboratively
Since you'll be working with both technical and non-technical stakeholders, practice explaining complex concepts in simple terms. Highlight your collaboration experiences and how you've worked with cross-functional teams to improve data accessibility and usability.
✨Stay Updated on Emerging Technologies
Familiarise yourself with the latest trends in data engineering, such as distributed computing technologies like Spark and cloud platforms like AWS or Azure. Showing that you're proactive about learning new tools and practices will impress your interviewers and align with their focus on modern engineering.
