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For Companies At a Glance
- Tasks: Troubleshoot data issues and maintain critical data platforms in a live services environment.
- Company: Join a dynamic team focused on operational excellence and continuous improvement.
- Benefits: Competitive salary, professional development, and opportunities for career growth.
- Why this job: Make a real impact by ensuring data stability and supporting innovative projects.
- Qualifications: Experience with ETL tools, SQL proficiency, and familiarity with cloud platforms required.
- Other info: Work in a collaborative environment with strong support from cross-functional teams.
The predicted salary is between 28800 - 48000 £ per year.
About the Role
We are seeking an experienced Data Engineer to join a live services environment supporting critical data platforms and operational workloads. This is a hands-on role focused on troubleshooting, incident resolution, maintaining batch operations, and ensuring the smooth transition of new changes into production.
You will work closely with colleagues across Live Services and Project Teams, helping to maintain platform stability, resolve issues efficiently, and drive continuous improvement.
Key Responsibilities
- Investigate and diagnose data-related issues across live environments
- Support and contribute to timely incident resolution
- Escalate issues in line with the agreed support model
- Manage and monitor batch processes and operational data workloads
- Collaborate with project teams to support seamless deployment and transition of changes into production
- Identify, recommend, and implement service improvements where capacity allows
- Work closely with live service team members to maintain high service standards
Essential Skills & Experience
- Proven Data Engineering experience in operational or live service environments
- Strong competency with ETL/ELT tools, such as: Azure Data Factory, Informatica, SSIS, Airflow
- Strong SQL proficiency
- Experience using monitoring tools, including: Application Insights, Splunk, Grafana, CloudWatch
- Experience with scheduling systems such as Cron, Autosys, or Control-M
- Understanding of batch vs streaming data workloads
- Familiarity with cloud/data platforms: Azure, AWS, or GCP
- Ability to work effectively within structured support models and cross-functional teams
- Active SC Clearance (mandatory)
What you need to do now
If you are interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career.
Data Engineer in Wellington employer: Hays Technology
Contact Detail:
Hays Technology Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in Wellington
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the lookout for opportunities. You never know who might have the inside scoop on a role that’s perfect for you.
✨Tip Number 2
Get hands-on with your skills! If you can, work on personal projects or contribute to open-source initiatives that showcase your data engineering prowess. This not only sharpens your skills but also gives you something impressive to talk about in interviews.
✨Tip Number 3
Prepare for those technical interviews! Brush up on your SQL and ETL/ELT tools knowledge, and be ready to tackle real-world problems. Practising common data engineering scenarios can give you the edge you need to impress potential employers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for talented individuals like you to join our team!
We think you need these skills to ace Data Engineer in Wellington
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with ETL/ELT tools and any relevant projects you've worked on. We want to see how your skills match what we're looking for!
Showcase Your Problem-Solving Skills: Since this role involves troubleshooting and incident resolution, be sure to include examples of how you've tackled data-related issues in the past. We love seeing your thought process and how you approach challenges.
Keep It Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points where possible to make it easy for us to read through your experience and skills. We appreciate a well-structured application!
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. We can’t wait to hear from you!
How to prepare for a job interview at Hays Technology
✨Know Your Tools Inside Out
Make sure you’re well-versed in the ETL/ELT tools mentioned in the job description, like Azure Data Factory and Informatica. Be ready to discuss your hands-on experience with these tools and how you've used them to troubleshoot data issues in live environments.
✨Showcase Your SQL Skills
Since strong SQL proficiency is essential, prepare to demonstrate your SQL knowledge during the interview. You might be asked to solve a problem or optimise a query, so brush up on your SQL skills and be ready to explain your thought process.
✨Understand Incident Resolution
Familiarise yourself with incident resolution processes and be prepared to share examples of how you've handled data-related issues in the past. Highlight your ability to work within structured support models and collaborate with cross-functional teams.
✨Discuss Service Improvements
Think about any service improvements you've implemented in previous roles. Be ready to discuss specific examples where you identified issues and recommended changes that enhanced platform stability or operational efficiency.
