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- Tasks: Lead data engineering projects and mentor team members to enhance their skills.
- Company: Dynamic tech company focused on innovative data solutions.
- Benefits: Competitive pay, flexible working, and opportunities for professional growth.
- Why this job: Make a real impact in scientific research through cutting-edge cloud solutions.
- Qualifications: Experience with AWS, Python, R, and cloud-native architecture required.
- Other info: Join a collaborative team and work on exciting projects in a fast-paced environment.
The predicted salary is between 60000 - 80000 £ per year.
We are recruiting for a Contract Lead Data Engineer for a 6 month contract to start ASAP. Candidates must be able to commute to Stratford once a week.
The Role:
- Be a technical lead for key initiatives, act as a technical authority and knowledge source for the wider team, providing mentorship to help others grow their technical capabilities.
- Work in collaboration with Product and Project Managers, Architects, etc to identify requirements.
- Transition high level designs to delivery, by working closely with solution architects and supporting key transition activities.
- Provide significant contribution to test strategies and plans as determined by the project or initiative.
- Serve as the primary technical contact for scientific teams, translating research workflows and data requirements into scalable technical solutions.
- Design and implement complex cloud solutions for scientific workloads, staying current with research-focused services.
- Apply SRE and DevOps best practices, implementing automation and CI/CD pipelines to reduce toil and improve reliability.
- Experienced with AWS and hybrid cloud architecture.
- Experienced with Infrastructure as Code, Python, R, CI/CD and Linux.
- Experience of cloud-native architecture and cloud services, various SQL and noSQL databases, as well as messaging queues.
Fractional Lead Data Engineer employer: Gofractional
Contact Detail:
Gofractional Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Fractional Lead Data Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the lookout for opportunities. You never know who might have a lead or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those involving AWS, Python, and cloud solutions. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss how you've implemented CI/CD pipelines or tackled complex cloud solutions in previous roles.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find and apply for roles that match your skills. Plus, it shows you're serious about joining our team!
We think you need these skills to ace Fractional Lead Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Lead Data Engineer. Highlight your experience with AWS, Python, and cloud solutions, as well as any mentoring roles you've had. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background makes you the perfect fit. Don’t forget to mention your experience with CI/CD and DevOps practices.
Showcase Your Projects: If you've worked on relevant projects, make sure to include them in your application. We love seeing real-world examples of your work, especially those that demonstrate your ability to design and implement complex solutions.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Gofractional
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially AWS, Python, and CI/CD practices. Brush up on your knowledge of cloud-native architecture and be ready to discuss how you've implemented these in past projects.
✨Showcase Your Mentorship Skills
Since the role involves providing mentorship, think of examples where you've helped others grow their technical skills. Be prepared to share specific instances where your guidance made a difference, as this will demonstrate your leadership capabilities.
✨Prepare for Scenario-Based Questions
Expect questions that ask how you would handle specific technical challenges or project scenarios. Practice articulating your thought process and decision-making steps, especially around transitioning designs to delivery and collaborating with cross-functional teams.
✨Demonstrate Your Problem-Solving Approach
Be ready to discuss your experience with test strategies and how you’ve contributed to them in previous roles. Highlight your ability to translate complex data requirements into scalable solutions, and don’t forget to mention any automation techniques you've used to improve reliability.