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- Tasks: Design and maintain scalable data solutions for analytics and AI.
- Company: Join a leading tech firm in Newcastle with a focus on innovation.
- Benefits: Hybrid working, competitive salary, and opportunities for rapid career growth.
- Why this job: Shape large-scale data solutions and work with cutting-edge technologies.
- Qualifications: Experience in data engineering, Java, and cloud services.
- Other info: Collaborative culture with a global network of experts.
The predicted salary is between 36000 - 60000 £ per year.
Location: Newcastle Upon Tyne
Salary: TBC – Depending on experience
Levels: Senior Analyst, Specialist
Hybrid Working: 3 days per week in our Newcastle, Cobalt business park office
Please Note: Any offer of employment is subject to satisfactory BPSS and SC security clearance which requires 5 years continuous UK address history (typically including no periods of 30 consecutive days or more spent outside of the UK) and declaration of being a British or EU passport holder or hold Indefinite Leave to remain within the UK at the point of application.
About the Team
Our Advanced Technology Centre is a hub of innovation where we deliver high-quality data and technology services to clients across both the public and private sectors. You'll join a collaborative culture that values diverse thinking, continuous learning, and opportunities for career growth within a global network of experts. If you're looking for a dynamic role that offers hands-on experience with modern data technologies and the chance to shape large-scale data solutions, this position offers you the opportunity to develop and progress rapidly.
Role Overview
As a Data Engineer, you will design, build, and maintain scalable data solutions that enable analytics, AI, and operational insights. You'll work alongside client and internal teams to create robust data pipelines, ensure data reliability, and support cloud-based architectures that power intelligent decision-making.
Key Responsibilities
- Data Pipeline Development
- Build, optimize, and maintain scalable data pipelines using Java (primary), plus exposure to Python, Flink, Kafka, or Spark.
- Develop and support real-time streaming pipelines and event-driven integrations.
- Integrate data from multiple sources (streaming, batch, APIs) using AWS managed services (e.g., Kinesis, MSK, Lambda, Glue).
- Data Architecture Standards
- Contribute to data modelling, data architecture best practices, and modern patterns (e.g., medallion architecture).
- Ensure data quality, lineage, governance, and security controls are applied consistently.
- DevOps Deployment
- Deploy and maintain data applications using CI/CD tooling (Azure DevOps, GitHub Actions, Jenkins).
- Use Infrastructure as Code (e.g., Terraform, CloudFormation) to manage cloud environments.
- Work with container technologies such as Docker and Kubernetes-based workloads.
- Collaboration
- Work closely with analytics, ML/AI, and product teams to deliver clean, well-structured datasets.
- Participate in code reviews and internal knowledge-sharing sessions.
- Provide guidance to junior engineers where needed.
Data Engineer in England employer: Accenture
Contact Detail:
Accenture Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in England
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the data engineering field. You never know who might have a lead on your dream job!
✨Show Off Your Skills
Don’t just talk about your experience; showcase it! Create a portfolio of projects that highlight your data pipeline development skills. Use platforms like GitHub to share your code and demonstrate your expertise in Java, Python, and cloud services.
✨Ace the Interview
Prepare for technical interviews by brushing up on your coding skills and understanding data architecture principles. Practice common interview questions and be ready to discuss your past projects in detail. Confidence is key!
✨Apply Through Our Website
Make sure to apply directly through our website for the best chance at landing that Data Engineer role. We love seeing candidates who are proactive and genuinely interested in joining our innovative team!
We think you need these skills to ace Data Engineer in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with data pipelines, Java, and any relevant cloud technologies. 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 Advanced Technology Centre. Keep it engaging and personal – we love a good story!
Showcase Your Projects: If you've worked on any cool data projects, make sure to mention them! Whether it's a personal project or something from a previous job, we want to see your hands-on experience with data solutions and technologies.
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. Plus, it makes the whole process smoother for everyone involved!
How to prepare for a job interview at Accenture
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Java, Python, and AWS services. Brush up on your knowledge of data pipelines and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in data engineering and how you overcame them. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your analytical thinking.
✨Understand the Company Culture
Research the company’s values and culture, especially their focus on collaboration and continuous learning. Be ready to share examples of how you’ve worked in teams and contributed to a positive work environment.
✨Ask Insightful Questions
Prepare thoughtful questions about the role, team dynamics, and future projects. This shows your genuine interest in the position and helps you assess if it’s the right fit for you.