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- Tasks: Design and build scalable data pipelines for impactful national projects.
- Company: Join the Office for National Statistics, shaping data-driven decisions across the UK.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative team environment with a focus on innovation and mentorship.
- Why this job: Make a real difference by contributing to vital national statistics and insights.
- Qualifications: Experience in data engineering or software engineering, especially with cloud platforms.
The predicted salary is between 40000 - 50000 £ per year.
Location: Newport or Titchfield
Looking to apply your data engineering skills to work that directly informs decision-making across the UK? This opportunity sits within the Office for National Statistics, working on large-scale data platforms that support national priorities, from crisis response to economic insight.
Why this role stands out:
- Work on AI-augmented data products and pipelines
- Contribute to national statistics and cross-government data platforms
- Play a role in high-impact work such as COVID data insights and cost-of-living analysis
- Collaborate with analysts and data scientists to unlock the value of complex datasets
- Be part of a team building reusable, automated data engineering solutions
What you'll be doing:
- Designing and building scalable data pipelines
- Preparing and linking complex datasets for analysis
- Improving data quality through cleansing, validation and enhancement
- Translating business needs into technical solutions
- Supporting and mentoring others in a collaborative team environment
Tech you'll use:
- Python
- PySpark
- SQL
- AWS and Google Cloud Platform (GCP)
Experience needed:
- Data engineering, software engineering, or data science
- Building or maintaining data pipelines
- Working with cloud platforms (especially GCP)
- Communicating technical concepts with different stakeholders
Apply now.
Senior Data Engineer - Office for National Statistics - SEO employer: Government Digital & Data
Contact Detail:
Government Digital & Data Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - Office for National Statistics - SEO
✨Tip Number 1
Network like a pro! Reach out to current or former employees at the Office for National Statistics on LinkedIn. A friendly chat can give us insider info and maybe even a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Make sure you can confidently discuss Python, PySpark, and cloud platforms like GCP. We want to show them we’re the best fit for their data engineering needs!
✨Tip Number 3
Showcase your problem-solving skills! Be ready to share examples of how you've tackled complex datasets or improved data quality in past projects. This will help us stand out as candidates who can make an impact.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we can keep track of our progress and stay updated on any new opportunities that pop up.
We think you need these skills to ace Senior Data Engineer - Office for National Statistics - SEO
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your data engineering skills and experience relevant to the role. We want to see how your background aligns with the work on AI-augmented data products and large-scale data platforms.
Showcase Your Projects: Include specific examples of projects where you've designed and built scalable data pipelines or worked with cloud platforms like GCP. This helps us understand your hands-on experience and problem-solving abilities.
Communicate Clearly: When writing your application, use clear and concise language to explain your technical skills. Remember, we need to see how you can translate complex concepts for different stakeholders, so keep it straightforward!
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 this exciting opportunity at the Office for National Statistics.
How to prepare for a job interview at Government Digital & Data
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python, PySpark, SQL, and cloud platforms like AWS and GCP. Brush up on your knowledge of building scalable data pipelines and be ready to discuss specific projects where you've used these technologies.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've translated business needs into technical solutions. Think about times when you improved data quality or worked on complex datasets, and be ready to explain your thought process during the interview.
✨Collaborate and Communicate
Since this role involves working with analysts and data scientists, practice explaining technical concepts in a way that non-technical stakeholders can understand. Highlight any experience you have mentoring others or working in collaborative environments.
✨Stay Current with National Priorities
Familiarise yourself with the current national statistics and issues like COVID data insights and cost-of-living analysis. Showing that you understand the impact of your work on decision-making across the UK will set you apart from other candidates.