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- Tasks: Design and maintain data pipelines to support impactful analytics projects.
- Company: Join a medium-sized public sector organisation focused on high-quality services.
- Benefits: Competitive salary, 25 days leave, hybrid work model, and great pension scheme.
- Why this job: Make a real difference in the public sector with your data engineering skills.
- Qualifications: Experience in data engineering, Python, Spark, and cloud platforms required.
- Other info: Collaborative environment with opportunities for professional growth.
The predicted salary is between 47000 - 59000 £ per year.
We are seeking a Data Engineer to join the Analytics department within the public sector in Brighton. This role focuses on designing, building, and maintaining robust data pipelines and platforms to support organisational objectives.
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.
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.
Profile
- 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.
Job 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 England employer: Michael Page
Contact Detail:
Michael Page Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Azure in England
✨Tip Number 1
Network like a pro! Reach out to folks in the public sector or data engineering circles on LinkedIn. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and projects. This is your chance to demonstrate your expertise in Python, Spark, or any other tools you've mastered.
✨Tip Number 3
Prepare for those interviews! Brush up on common data engineering questions and be ready to discuss how you've tackled challenges in past projects. Confidence is key!
✨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 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, cloud platforms, and any relevant programming skills like Python or Spark. We want to see how your background aligns with 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 analytics team. Keep it concise but impactful – we love a good story!
Showcase Your Problem-Solving Skills: In your application, don’t forget to mention specific examples of how you've tackled challenges in data engineering. We’re keen on seeing your problem-solving skills in action, so share those success stories!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team at StudySmarter!
How to prepare for a job interview at Michael Page
✨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 C#, as these are key skills for 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 in your projects.
✨Understand the Public Sector Context
Familiarise yourself with the public sector's unique challenges and objectives. This will help you demonstrate how your skills can contribute to impactful decision-making within the organisation.
✨Collaborate and Communicate
Since this role involves working with cross-functional teams, be prepared to discuss how you’ve successfully collaborated with diverse stakeholders in previous roles. Emphasise your communication skills and ability to understand varying data requirements.
