At a Glance
- Tasks: Build and maintain data pipelines using Apache Spark and AWS services.
- Company: Join Scrumconnect, a leading tech consultancy driving digital transformation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and user-centred solutions.
- Why this job: Make a real impact on public services with cutting-edge cloud technology.
- Qualifications: Active SC clearance and experience in data engineering required.
The predicted salary is between 50000 - 70000 € per year.
A hands-on data engineering role within a large-scale cloud data programme, responsible for building, maintaining, and troubleshooting data pipelines using Apache Spark, PySpark, Apache Airflow, and a broad suite of AWS services. You will apply strong analytical and engineering skills to deliver trusted, well-governed data assets in a modern, cloud-native environment.
Active SC clearance is a mandatory, non-negotiable requirement. Candidates must hold current, in-date Security Check (SC) clearance at the time of application. Sponsorship is not available. Applications without active SC clearance will not be considered.
Working arrangement:
- This role is hybrid. Candidates must be willing and able to travel to the London office three days per week. Remaining days may be worked remotely from anywhere in the UK.
About the role:
You will work as a Data Engineer on a complex, cloud-based data programme - designing, building, and maintaining data pipelines that process large volumes of data.
Data Engineer (SC Cleared) in Manchester employer: scrumconnect ltd
Scrumconnect is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration within the technology consultancy sector. With a strong focus on employee growth, we provide ample opportunities for professional development while working on impactful projects that shape public services in the UK. Our hybrid working model allows for flexibility, enabling you to balance your professional and personal life effectively, all while being part of a team that values your contributions and expertise.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer (SC Cleared) in Manchester
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Scrumconnect on LinkedIn. A friendly chat can give you insider info and might just get your application noticed.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your work with Apache Spark, PySpark, and AWS. Having tangible examples of your data pipelines can really set you apart during interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions for data engineers. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
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 the Scrumconnect team.
We think you need these skills to ace Data Engineer (SC Cleared) in Manchester
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with Apache Spark, PySpark, and AWS in your application. We want to see how you've used these tools in real-world scenarios, so don’t hold back on the details!
Tailor Your Application:Take a moment to customise your CV and cover letter for this role. We love seeing candidates who understand our needs and can demonstrate how their skills align with what we're looking for.
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon and get straight to the point about your qualifications and experiences.
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 scrumconnect ltd
✨Know Your Tech Stack
Make sure you’re well-versed in Apache Spark, PySpark, and AWS services. Brush up on your knowledge of data pipelines and be ready to discuss how you've used these technologies in past projects. This will show that you’re not just familiar with the tools, but that you can apply them effectively.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of challenges you've faced while building or maintaining data pipelines. Discuss how you approached these problems, the solutions you implemented, and the outcomes. This demonstrates your analytical skills and ability to troubleshoot effectively.
✨Understand the Company’s Mission
Research Scrumconnect and their role in digital transformation within public services. Be ready to explain how your skills as a Data Engineer align with their goals. Showing that you understand their impact on citizen-facing services can set you apart from other candidates.
✨Be Ready for Scenario-Based Questions
Expect questions that ask you to solve hypothetical scenarios related to data engineering. Practice articulating your thought process clearly and logically. This will help interviewers see how you think on your feet and apply your technical knowledge in real-world situations.
