At a Glance
- Tasks: Build and optimise scalable data pipelines using modern technologies like Java and AWS.
- Company: Join a global consultancy with a focus on innovation and collaboration.
- Benefits: Competitive salary, career progression, and exposure to cutting-edge tech.
- Other info: Hybrid work model with strong growth opportunities in a dynamic environment.
- Why this job: Work on impactful data projects that drive analytics and AI decision-making.
- Qualifications: 3 years in data engineering, proficient in Java or Python, and experience with streaming technologies.
The predicted salary is between 50000 - 60000 € per year.
Im currently working with a global consultancy to hire Data Engineers to join a growing Advanced Technology team delivering large-scale data solutions across public and private sector clients. A variety of soft skills and experience may be required for the following role. Please ensure you check the overview below carefully.
This is a hands-on role where youll work with modern data technologies, building scalable pipelines and real-time data platforms that power analytics and AI-driven decision making.
What youll be doing:
- Building and optimising scalable data pipelines using Java (primary) and technologies like Kafka, Flink, or Spark
- Developing real-time streaming solutions and event-driven architectures using AWS services (Kinesis, MSK, Lambda, Glue)
- Contributing to data architecture, modelling, and best practices across modern data platforms
- Deploying and maintaining solutions using CI/CD and Infrastructure as Code (Terraform, CloudFormation)
- Collaborating with analytics, AI, and product teams to deliver high-quality, reliable datasets
What theyre looking for:
- Strong experience in data engineering or large-scale data platforms (3 years)
- Proficiency in Java or Python
- Hands-on experience with streaming technologies (Kafka / Flink preferred)
- Good understanding of distributed systems and cloud platforms (AWS ideally)
- Experience with CI/CD, Docker, Kubernetes, and modern DevOps practices
Why consider this role?
- Work on high-impact, large-scale data projects
- Exposure to modern cloud and streaming technologies
- Strong career progression within a global organisation
- Collaborative, innovation-focused engineering culture
Please note: This role requires eligibility for UK security clearance (5 years UK residency).
Data Engineer in Ponteland employer: ANSON MCCADE
Join a leading global consultancy as a Data Engineer in Newcastle, where you'll be part of a dynamic Advanced Technology team dedicated to delivering impactful data solutions. Enjoy a hybrid work model that promotes work-life balance, alongside opportunities for professional growth and collaboration in an innovation-driven culture. With access to cutting-edge technologies and a commitment to employee development, this role offers a rewarding career path in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Ponteland
✨Tip Number 1
Network like a pro! Reach out to current Data Engineers or professionals in the field on LinkedIn. Ask them about their experiences and any tips they might have for landing a role like this.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Java, Kafka, or AWS. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of data pipelines. Practice common interview questions related to data engineering to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Data Engineer in Ponteland
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. Highlight your experience with Java, streaming technologies, and any relevant cloud platforms like AWS. We want to see how your skills match what we're looking for!
Showcase Your Projects:Include specific projects where you've built scalable data pipelines or worked with real-time data solutions. This gives us a clear picture of your hands-on experience and how you can contribute to our team.
Be Clear and Concise:When writing your application, keep it clear and to the point. Use bullet points for key achievements and avoid jargon unless it's relevant. We appreciate straightforward communication!
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 see what you bring to the table!
How to prepare for a job interview at ANSON MCCADE
✨Know Your Tech Stack
Make sure you brush up on your knowledge of Java, Kafka, and AWS services. Be ready to discuss how you've used these technologies in past projects. It’s not just about knowing them; be prepared to explain your thought process and decision-making when building data pipelines.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some technical challenges during the interview. Think of examples where you've solved complex problems using data engineering techniques. This will demonstrate your hands-on experience and ability to think critically under pressure.
✨Understand the Company’s Projects
Research the consultancy's recent projects and clients. Knowing what they do and how they apply data solutions can help you tailor your answers and show genuine interest. It also gives you a chance to ask insightful questions that reflect your understanding of their work.
✨Emphasise Collaboration
Since this role involves working with analytics and AI teams, highlight your teamwork skills. Share experiences where you collaborated effectively with others to deliver high-quality datasets. This shows you’re not just a tech whiz but also a great team player.
