Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead data migration to AWS and optimise databases like SQL and MySQL.
- Company: Join a growing SaaS business focused on innovative data solutions.
- Benefits: Enjoy a hybrid work setup with flexibility and collaborative team culture.
- Why this job: Be at the forefront of technical transformation in a dynamic environment.
- Qualifications: Strong SQL, MySQL, Postgres skills; AWS experience is essential.
- Other info: Engage in hands-on problem-solving with cross-functional teams.
The predicted salary is between 39600 - 66000 £ per year.
Are you a highly technical data expert ready to lead and innovate? Do you have strong expertise in databases, SQL, MySQL, and Postgres? Are you experienced with AWS tools like Redshift and S3, alongside Google Analytics?
Why This Role is Great
This is a highly technical role, ideal for someone who thrives in database management and cloud-based data solutions. You’ll stay hands-on with database optimisation, data migration, and SaaS product analytics.
In this role, you will:
- Work across multiple platforms, supporting both internal and external SaaS products.
- Lead the migration of legacy data systems to AWS, ensuring efficiency and scalability.
- Optimise databases, particularly SQL, MySQL, Postgres, and Redshift.
- Utilise AWS services (S3, Redshift) and Google Analytics to enhance data strategy.
- Ensure robust data governance and performance monitoring across platforms.
- Engage in collaborative whiteboarding sessions, working closely with cross-functional teams.
About You
This role is suited to a highly skilled database expert who enjoys problem-solving and working hands-on with data. The primary focus is on technical expertise and execution.
What will make you stand out?
- Strong expertise in SQL, MySQL, Postgres, with a deep understanding of databases.
- Experience working with AWS tools (Redshift, S3) and Google Analytics.
- Ability to migrate legacy data systems to AWS while optimising performance.
- Strong problem-solving skills and a proactive, hands-on approach.
- Comfortable working in-office three days a week, collaborating with the team.
What’s in It for You?
- Lead the technical transformation of a growing SaaS business.
- Work with cutting-edge AWS and database technologies.
- Be part of a collaborative, whiteboard-heavy problem-solving team.
- A hybrid work setup, with flexibility for exceptional candidates.
The Interview Process
- First stage: 30-minute introductory call
- Second stage: In-person technical task assessment
Ready to Apply?
For more information or a confidential discussion, get in touch today. Apply now and take the next step in your data leadership journey!
Data Engineer (AWS) - £55k - ID38964 employer: Humand Talent
Contact Detail:
Humand Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer (AWS) - £55k - ID38964
✨Tip Number 1
Familiarise yourself with the specific AWS tools mentioned in the job description, such as Redshift and S3. Having hands-on experience or projects that showcase your skills with these tools can significantly boost your chances during the interview.
✨Tip Number 2
Prepare to discuss your experience with database optimisation and migration. Be ready to share specific examples of how you've successfully migrated legacy systems to AWS and improved performance, as this is a key focus of the role.
✨Tip Number 3
Engage in mock interviews or technical assessments with peers to practice articulating your problem-solving approach. This will help you feel more confident during the in-person technical task assessment stage of the interview process.
✨Tip Number 4
Showcase your collaborative skills by preparing to discuss past experiences where you've worked closely with cross-functional teams. Highlighting your ability to engage in whiteboarding sessions will demonstrate your fit for the team-oriented culture at StudySmarter.
We think you need these skills to ace Data Engineer (AWS) - £55k - ID38964
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your expertise in SQL, MySQL, Postgres, and AWS tools like Redshift and S3. Use specific examples of past projects where you successfully optimised databases or migrated data systems.
Craft a Compelling Cover Letter: In your cover letter, emphasise your problem-solving skills and hands-on experience with data management. Mention your enthusiasm for leading technical transformations and collaborating with cross-functional teams.
Showcase Relevant Experience: When detailing your work history, focus on roles that involved database optimisation, data migration, and the use of AWS services. Quantify your achievements to demonstrate your impact in previous positions.
Prepare for Technical Questions: Anticipate technical questions related to database management and AWS tools during the interview process. Brush up on your knowledge of data governance and performance monitoring to showcase your expertise.
How to prepare for a job interview at Humand Talent
✨Showcase Your Technical Skills
Be prepared to discuss your expertise in SQL, MySQL, Postgres, and AWS tools like Redshift and S3. Bring examples of past projects where you optimised databases or migrated data systems to demonstrate your hands-on experience.
✨Prepare for Technical Assessments
Since the interview includes a technical task assessment, practice relevant problems beforehand. Brush up on database optimisation techniques and be ready to solve real-world scenarios that may arise during the assessment.
✨Engage in Collaborative Problem-Solving
During the interview, show your willingness to collaborate by engaging in discussions and whiteboarding sessions. This role values teamwork, so demonstrating your ability to work with others will make a positive impression.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data strategy, team dynamics, and the specific challenges they face. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
