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- Tasks: Design and develop automated data pipelines and transformation applications.
- Company: Join 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 dynamic team in a fast-paced, Agile environment with impactful projects.
- Qualifications: Advanced SQL skills, scripting knowledge, and experience with cloud data warehousing required.
- Other info: This role is open to candidates with an EU work permit.
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 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 really keen to hear from you:
- 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 (e.g., Snowflake, DBT)
- Experience in 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.
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 during discussions.
✨Tip Number 2
Prepare to discuss your experience with Agile methodologies. Be ready to share examples of how you've contributed to team projects in an Agile environment, as this is a key aspect of the role.
✨Tip Number 3
Highlight any previous work involving data quality processes and automation. Being able to demonstrate your understanding of these concepts will show that you are well-suited for the responsibilities of the position.
✨Tip Number 4
Network with professionals in the fintech industry, especially those who work with data operations. Engaging in conversations about current trends and challenges can provide valuable insights and potentially lead to referrals.
We think you need these skills to ace Senior Data Operations Engineer
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of a Senior Data Operations Engineer. Familiarise yourself with the technologies mentioned in the job description, such as SQL, Python, and cloud data warehousing solutions.
Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job description. Emphasise your expertise in SQL, scripting languages, and any experience with data pipelines or Agile environments.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data operations and fintech. Mention specific projects or achievements that demonstrate your ability to design and develop automated data pipelines and your familiarity with the required tools.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any spelling or grammatical errors, and ensure that all information is clear and concise. A polished application reflects your attention to detail.
How to prepare for a job interview at JR United Kingdom
✨Showcase Your Technical Skills
Make sure to highlight your advanced SQL knowledge and experience with scripting languages like Python and PowerShell. Be prepared to discuss specific projects where you've designed or developed automated data pipelines, as this will demonstrate your hands-on expertise.
✨Understand Cloud Data Solutions
Familiarise yourself with cloud data warehousing solutions such as Snowflake and DBT. During the interview, be ready to explain how you've implemented ELT/ETL processes in previous roles, as this is crucial for the position.
✨Emphasise Agile Experience
Since the role requires working within an Agile environment, be prepared to discuss your experience with Agile methodologies. Share examples of how you've contributed to team sprints or collaborated on projects, showcasing your adaptability and teamwork skills.
✨Prepare for Automation Questions
Expect questions related to automation, including unit and integration testing. Be ready to talk about your approach to ensuring data quality and how you've resolved related processes in past projects, as this will reflect your problem-solving abilities.
