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For Companies At a Glance
- Tasks: Develop and maintain scalable data pipelines while collaborating with diverse teams.
- Company: Join a medium-sized public sector organisation focused on impactful analytics.
- Benefits: Competitive salary, 25 days leave, hybrid working, and great pension scheme.
- Why this job: Lead innovative projects and make a real difference in the public sector.
- Qualifications: Strong background in data engineering with skills in Python, Spark, and cloud platforms.
- Other info: Flexible working patterns and excellent career growth opportunities await you.
The predicted salary is between 55000 - 63000 £ per year.
Opportunity to Lead and Influence. Cutting-Edge Technology and Professional Growth.
About Our Client
The hiring organisation is a part of the public sector, committed to delivering high-quality services. It is a medium-sized organisation known for its structured approach and focus on analytics to drive impactful decision-making.
Job Description
- Develop and maintain scalable data pipelines and systems to manage large datasets effectively.
- Collaborate with cross-functional teams to understand data requirements and implement solutions.
- Ensure data quality, integrity, and availability across various systems and platforms.
- Optimise data workflows and processes for efficiency and reliability.
- Integrate data from multiple sources to support analytics and reporting needs.
- Provide technical expertise in data engineering best practices and tools.
- Monitor and troubleshoot data systems to resolve any issues promptly.
- Document processes and maintain up-to-date records of data architecture and workflows.
The Successful Applicant
- A strong background in data engineering or a related field.
- Proficiency in designing and implementing data pipelines and architectures.
- Experience with Python, Spark, C#, or relevant programming skills.
- Experience with cloud platforms and data processing tools.
- Knowledge of database systems, ETL processes, and data modelling techniques.
- Excellent problem-solving skills and a detail-oriented approach.
- The ability to work collaboratively with diverse teams and stakeholders.
What’s on Offer
- Competitive salary ranging from £55,000 to £63,000 per annum.
- 25 days of annual leave plus bank holidays & flex days.
- A very hybrid working model with flexible working patterns and flexitime.
- A 35-hour working week for full-time employees.
- Competitive parental leave policies.
- Great Pension scheme with a high employer contribution.
This role as a Data Engineer in Brighton offers an excellent opportunity to work in the public sector, contributing to meaningful analytics projects. If this aligns with your skills and career goals, we encourage you to apply.
Data Engineer - Azure in Brighton employer: Michael Page (UK)
Contact Detail:
Michael Page (UK) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Azure in Brighton
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving Azure, Python, or Spark. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process when solving problems, as this will demonstrate your analytical skills and collaborative spirit.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Engineer - Azure in Brighton
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Data Engineer role. Highlight your proficiency in Python, Spark, and any cloud platforms you've worked with. We want to see how you can contribute to our data pipelines!
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 your background aligns with our mission. Let us know how you can help optimise our data workflows and processes.
Showcase Your Problem-Solving Skills: In your application, include examples of how you've tackled challenges in data engineering. We love seeing candidates who can think critically and resolve issues efficiently, so don’t hold back on sharing your success stories!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Michael Page (UK)
✨Know Your Data Engineering Basics
Make sure you brush up on your data engineering fundamentals, especially around designing and implementing data pipelines. Be ready to discuss your experience with Python, Spark, and any cloud platforms you've worked with, as these are key to the role.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled data-related challenges in the past. Highlight your detail-oriented approach and how you ensure data quality and integrity, as this will resonate well with the hiring organisation's focus on impactful decision-making.
✨Collaborate and Communicate
Since the role involves working with cross-functional teams, think about how you can demonstrate your collaborative skills. Be ready to discuss how you've effectively communicated data requirements and solutions to diverse stakeholders in previous roles.
✨Stay Updated on Best Practices
Familiarise yourself with the latest data engineering best practices and tools. Being able to discuss current trends and how they can be applied to optimise data workflows will show that you're proactive and committed to professional growth.
