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For Companies At a Glance
- Tasks: Design and develop scalable data solutions for a leading financial technology company.
- Company: Join a global leader in payments innovation, driving digital transformation worldwide.
- Benefits: Enjoy a collaborative culture, opportunities for growth, and a dynamic work environment.
- Why this job: Make a real impact in the payments industry while working with cutting-edge technologies.
- Qualifications: Strong SQL skills, proficiency in Python, and experience with high-volume processing systems required.
- Other info: This is a 6-month contract role based in London, requiring 3 days on-site.
The predicted salary is between 43200 - 72000 £ per year.
Job Description
Role: Senior Cloud Data Engineer
Location: London, 3 days per week on site required
Duration: 6-month contract
Rate: Via umbrella
About the Client
Join a global leader in financial technology and payments innovation, powering millions of transactions every day across the world. This organisation is at the forefront of digital transformation in payments, driving innovation and building secure, scalable solutions that shape the future of commerce. Their culture is collaborative, forward-thinking, and dynamic, offering an environment where talented individuals can make a real impact.
The Opportunity
As a Senior Cloud Data Engineer, you will be joining the Data Platform Team, a core function that underpins mission-critical infrastructure for the business. You'll play a key role in designing and developing solutions that ensure stability, scalability, and compliance across global systems. This is an exciting opportunity to deliver high-impact work at the heart of the payments industry.
Key Responsibilities
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Collaborate with stakeholders to define business and technical requirements.
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Design and implement scalable data workflows and lifecycle management solutions.
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Ensure data quality, security, compliance, and retention policies are upheld.
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Support encryption, archiving, and audit readiness.
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Promote best practices and knowledge sharing across the team.
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Continuously explore new tools and technologies to strengthen the platform.
What You Bring
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Strong SQL skills and in-depth knowledge of Oracle database architecture.
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Proficiency in PL/SQL, with experience in partitioning and indexing.
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Expertise in Python (primary language) and shell scripting.
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Background in high-volume, distributed processing systems.
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Familiarity with DevOps tools such as GitHub Actions or Jenkins.
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Solid grounding in modern engineering principles and full-stack development.
Bonus Skills: Airflow, Kafka/Kafka Connect, Delta Lake, JSON/XML/Parquet/YAML, cloud-based data services.
Why Apply?
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Work for a global payments innovator shaping the future of commerce.
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Join a highly skilled, collaborative, and forward-thinking data team.
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Access opportunities for growth, learning, and leadership.
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Thrive in a culture that values inclusivity, innovation, and impact.
Candidates will ideally show evidence of the above in their CV to be considered please click the "apply" button.
Please be advised if you haven't heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you accordingly.
Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive.
Senior Cloud Data Engineer employer: Pontoon
Contact Detail:
Pontoon Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Cloud Data Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in cloud data engineering, especially within the financial technology sector. Understanding how your skills can contribute to innovations in payments will help you stand out during discussions.
✨Tip Number 2
Network with professionals in the industry, particularly those who work in cloud data roles. Engaging with them on platforms like LinkedIn can provide insights into the company culture and expectations, which can be invaluable during interviews.
✨Tip Number 3
Prepare to discuss specific projects where you've implemented scalable data workflows or improved data quality. Real-world examples will demonstrate your expertise and problem-solving abilities, making a strong impression on the hiring team.
✨Tip Number 4
Showcase your knowledge of DevOps tools and practices, as they are crucial for this role. Being able to articulate how you've used tools like GitHub Actions or Jenkins in past projects will highlight your readiness for the position.
We think you need these skills to ace Senior Cloud Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your strong SQL skills, PL/SQL experience, and proficiency in Python. Include specific examples of your work with high-volume, distributed processing systems to demonstrate your expertise.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your background aligns with their needs, particularly in designing scalable data workflows and ensuring data quality and compliance.
Showcase Relevant Projects: If you have worked on projects involving DevOps tools like GitHub Actions or Jenkins, or technologies such as Airflow or Kafka, be sure to include these in your application. This will help illustrate your hands-on experience.
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 Cloud Data Engineer role.
How to prepare for a job interview at Pontoon
✨Showcase Your Technical Skills
Make sure to highlight your strong SQL skills and in-depth knowledge of Oracle database architecture during the interview. Be prepared to discuss specific projects where you've implemented PL/SQL, partitioning, and indexing.
✨Demonstrate Problem-Solving Abilities
As a Senior Cloud Data Engineer, you'll need to design scalable data workflows. Prepare examples of how you've tackled complex data challenges in the past, focusing on your approach to ensuring data quality and compliance.
✨Familiarise Yourself with Relevant Tools
Brush up on your knowledge of DevOps tools like GitHub Actions or Jenkins, as well as any bonus skills such as Airflow or Kafka. Being able to discuss these tools confidently will show your readiness for the role.
✨Emphasise Collaboration and Knowledge Sharing
The company values a collaborative culture, so be ready to talk about how you've worked with stakeholders to define requirements and promote best practices in your previous roles. Share examples of how you’ve contributed to team success.
