At a Glance
- Tasks: Join a team to migrate 500GB of data to the cloud and develop scalable solutions.
- Company: Be part of a high-performing team focused on major system redesign and cloud migration.
- Benefits: Enjoy flexible working with 2-3 days in the office and competitive pay rates.
- Other info: This is a 6-month contract with potential for extension, running until Easter next year.
- Why this job: Work on impactful projects in a fast-paced, agile environment with modern technologies.
- Qualifications: Strong DevOps skills, experience with Python, and knowledge of cloud infrastructure required.
Job Description
Senior Data Engineer - Cloud (Contract)
London - 2-3 days per week in office
£95.00 - £115.00 per hour (via umbrella)
6-month contract - likely to extend (project expected to run through to Easter next year)
Are you a skilled Software or Data Engineer with strong DevOps knowledge and experience working with large-scale data migrations? This is an exciting opportunity to join a high-performing team working on a major system redesign and cloud migration project.
The Project:
This role is part of a large-scale data migration initiative, moving approximately 500GB of data from an on-premise system into a new Oracle-based cloud infrastructure. The project is split across two sub-teams: one focused on the technical implementation, the other on process investigation and analysis. You'll be joining the technical delivery team and will play a key role in ensuring a smooth and efficient migration.
What You'll Be Doing:
- Supporting the migration of large data systems to the cloud
- Designing and developing scalable data engineering solutions
- Working with modern DevOps tools and full-stack technologies
- Scripting and automating processes to optimise workflows
- Collaborating with team members across engineering and process analysis
- Contributing to a fast-paced and agile environment
What We're Looking For:
Essential Skills:
- Solid DevOps experience including GitHub Actions and Jenkins
- Proficient in Python and shell scripting
- Experience with Delta Lake table formats
- Strong data engineering background
- Proven experience working with large datasets
Nice to Have:
- Familiarity with Airflow
- Background in full stack development
Team & Culture:
- Join a collaborative team of 10 professionals
- Friendly, delivery-focused environment
- Replacing two outgoing contractors - the handover will ensure a smooth start
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 Data Engineer - Cloud in London employer: Pontoon
Join a dynamic and innovative team in London as a Senior Data Engineer - Cloud, where you'll be at the forefront of a significant data migration project. Our company fosters a collaborative work culture that values continuous learning and professional growth, offering flexible working arrangements and competitive pay. With a focus on cutting-edge technology and a commitment to employee development, we provide an exceptional environment for those looking to make a meaningful impact in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer - Cloud in London
✨Tip Number 1
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as GitHub Actions and Jenkins. Having hands-on experience or projects showcasing your proficiency with these tools can set you apart during discussions.
✨Tip Number 2
Network with current or former employees of StudySmarter on platforms like LinkedIn. Engaging with them can provide insights into the company culture and the specifics of the team you'll be working with, which can be invaluable during interviews.
✨Tip Number 3
Prepare to discuss your previous experiences with large-scale data migrations. Be ready to share specific challenges you faced and how you overcame them, as this will demonstrate your problem-solving skills and technical expertise.
✨Tip Number 4
Showcase your ability to work in a fast-paced and agile environment by providing examples from your past roles. Highlighting your adaptability and teamwork will resonate well with the hiring team at StudySmarter.
We think you need these skills to ace Senior Data Engineer - Cloud in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with cloud migrations, DevOps tools, and data engineering. Use specific examples that demonstrate your skills in Python, GitHub Actions, and Jenkins.
Craft a Compelling Cover Letter:Write a cover letter that explains why you are the perfect fit for this role. Mention your previous experience with large-scale data migrations and how you can contribute to the team's success in the cloud migration project.
Showcase Relevant Projects:If you have worked on similar projects, include them in your application. Describe your role, the technologies used, and the outcomes achieved to give the hiring team a clear picture of your capabilities.
Proofread Your Application:Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at Pontoon
✨Showcase Your DevOps Expertise
Make sure to highlight your experience with DevOps tools, especially GitHub Actions and Jenkins. Be prepared to discuss specific projects where you implemented these tools and how they contributed to successful outcomes.
✨Demonstrate Data Migration Experience
Since this role involves large-scale data migrations, come ready to share examples of past projects where you successfully migrated data. Discuss the challenges you faced and how you overcame them, particularly in cloud environments.
✨Emphasise Collaboration Skills
This position requires working closely with both technical and process analysis teams. Be ready to talk about your experience collaborating with cross-functional teams and how you ensure effective communication and teamwork.
✨Prepare for Technical Questions
Expect to face technical questions related to Python and data engineering solutions. Brush up on your coding skills and be ready to solve problems on the spot, demonstrating your thought process and approach to problem-solving.
