Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and develop automated data pipelines and transformation applications.
- Company: Join a leading fintech client focused on innovative data solutions.
- Benefits: Enjoy a competitive salary, fully remote work, and a comprehensive benefits package.
- Why this job: Be part of a dynamic team in a fast-paced environment with a strong focus on data quality.
- Qualifications: Advanced SQL skills, scripting knowledge, and experience in cloud data warehousing are essential.
- Other info: Contact Mark Raine for a confidential chat about this exciting opportunity.
The predicted salary is between 43200 - 72000 £ per year.
Location: Fully Remote
Salary: Competitive Salary and Benefits Package
I am working with a leading fintech client who is strengthening their data team. This is a key role, working as part of a team tasked with designing and developing high-performance and resilient automated data pipelines and data transformation applications.
If you have a strong mix of the following skills and experience, I would be keen to hear from you:
- Advanced SQL Knowledge (Snowflake, PostgreSQL, MSSQL, etc.)
- Scripting languages (Python, PowerShell)
- Data quality and related processes
- Cloud Data Warehousing solutions and ELT/ETL solutions (e.g., Snowflake, DBT)
- Experience working within an Agile environment
- Experience with Automation, including Unit and Integration Testing
- Knowledge of Cloud Concepts
For more information and a confidential chat about this role, contact Mark Raine at Realtime Recruitment on 028 9521 1121 or email (emailprotected).
Senior Data Operations Engineer employer: JR United Kingdom
Contact Detail:
JR United Kingdom Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Operations Engineer
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Snowflake and PostgreSQL. Having hands-on experience or projects that showcase your skills in these areas can set you apart from other candidates.
✨Tip Number 2
Engage with the fintech community online, especially on platforms like LinkedIn or relevant forums. Networking with professionals in the field can provide insights into the company culture and may even lead to referrals.
✨Tip Number 3
Prepare to discuss your experience with Agile methodologies during interviews. Be ready to share specific examples of how you've contributed to Agile teams and how it has improved your work processes.
✨Tip Number 4
Showcase your problem-solving skills by preparing for technical interviews. Practice common data engineering challenges and be ready to demonstrate your thought process and solutions using SQL and scripting languages.
We think you need these skills to ace Senior Data Operations Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, scripting languages, and cloud data warehousing solutions. Use specific examples to demonstrate your skills in designing automated data pipelines and working within an Agile environment.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the fintech industry. Mention your relevant experience with data quality processes and automation, and explain how you can contribute to the team’s success.
Showcase Relevant Projects: If you have worked on projects involving ELT/ETL solutions or data transformation applications, be sure to include these in your application. Describe your role and the impact of your contributions.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors. A polished application reflects your attention to detail, which is crucial for a Senior Data Operations Engineer.
How to prepare for a job interview at JR United Kingdom
✨Showcase Your SQL Skills
Be prepared to discuss your advanced SQL knowledge in detail. Bring examples of complex queries you've written or optimised, and be ready to explain your thought process behind them.
✨Demonstrate Scripting Proficiency
Since scripting languages like Python and PowerShell are crucial for this role, consider preparing a small project or script that highlights your skills. Be ready to walk through your code and explain how it solves a problem.
✨Discuss Data Quality Processes
Data quality is key in fintech. Be prepared to talk about your experience with data quality processes, including any tools or methodologies you've used to ensure data integrity and accuracy.
✨Familiarise Yourself with Agile Practices
As the role involves working within an Agile environment, brush up on Agile principles and practices. Be ready to share your experiences working in Agile teams and how you contributed to successful project outcomes.
