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For Companies At a Glance
- Tasks: Join a dynamic team to transform data systems and enhance analytical value.
- Company: Work with a leading fintech client focused on innovative data solutions.
- Benefits: Enjoy a fully remote role with a competitive salary and benefits package.
- Why this job: Be part of a cutting-edge team driving impactful data transformations in a fast-paced environment.
- Qualifications: Advanced SQL knowledge and experience with scripting languages like Python required.
- Other info: Contact Mark Raine for a confidential chat about this exciting opportunity.
The predicted salary is between 43200 - 72000 £ per year.
Fully Remote
Competitive Salary and Benefits Package
I am working with a leading fintech client who are strengthening their data team. This is a key role, working as part of a team tasked with driving the transformation of their data systems by designing and deploying architectures to drive greater analytical and business value from a wide range of data sources.
- Advanced SQL Knowledge (Snowflake, PostgreSQL, MSSQL, etc.)
- Scripting languages (Python, PowerShell)
- Data quality and resolving related processes
- Cloud Data Warehousing solutions and ELT/ETL solutions
- Experience in working within an Agile environment
- Experience with Automation, including Unit and Integration Testing
For more information and a confidential chat about this role, contact Mark Raine at Realtime Recruitment on 028 9521 1121 or email mark.
Senior Data Operations Engineer employer: Realtime Recruitment
Contact Detail:
Realtime Recruitment 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 data 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 online communities or forums related to data engineering and fintech. Networking with professionals in the field can provide insights into the company culture and expectations, which can be invaluable during interviews.
✨Tip Number 3
Prepare to discuss your experience with Agile methodologies and how you've implemented automation in previous roles. Be ready to share specific examples of how you've improved data quality or streamlined processes.
✨Tip Number 4
Research the company’s recent projects or initiatives in data transformation. This knowledge will not only help you tailor your responses during interviews but also demonstrate your genuine interest in the role and the company.
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 advanced SQL knowledge and experience with scripting languages like Python and PowerShell. Emphasise any relevant projects or roles that showcase your expertise in data quality and cloud data warehousing solutions.
Craft a Compelling Cover Letter: In your cover letter, explain why you are interested in the Senior Data Operations Engineer position. Discuss your experience in driving data transformation and how you can contribute to the team's goals. Mention your familiarity with Agile environments and automation processes.
Showcase Relevant Experience: When detailing your work experience, focus on specific achievements related to data operations, such as successful implementations of ELT/ETL solutions or improvements in data quality processes. Use metrics to quantify your impact where possible.
Proofread Your Application: Before submitting your application, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a role in data operations.
How to prepare for a job interview at Realtime Recruitment
✨Showcase Your SQL Skills
Make sure to prepare examples of your advanced SQL knowledge, particularly with Snowflake, PostgreSQL, and MSSQL. Be ready to discuss how you've used these technologies in past projects to drive analytical value.
✨Demonstrate Scripting Proficiency
Since scripting languages like Python and PowerShell are crucial for this role, come prepared with specific examples of scripts you've written. Highlight how these scripts improved data processes or automated tasks.
✨Discuss Data Quality Management
Be ready to talk about your experience with data quality and the processes you've implemented to resolve related issues. Providing concrete examples will show your understanding of the importance of data integrity.
✨Familiarise Yourself with Agile Practices
As this role involves working within an Agile environment, brush up on Agile methodologies. Be prepared to discuss how you've contributed to Agile teams in the past and how you can bring that experience to the new role.
