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 cutting-edge technology.
- Other info: Mentor one team member while staying hands-on with technical tasks.
- Why this job: Be part of a collaborative team transforming data infrastructure and enhancing strategy.
- Qualifications: Strong SQL, MySQL, Postgres skills; AWS experience preferred.
The predicted salary is between 39600 - 66000 £ per year.
This range is provided by Humand Talent. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
- 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?
- Do you want to take the lead in modernising a company’s data infrastructure?
If so, this Data Engineering Lead role could be your next great opportunity!
Why This Role is Great
This is a highly technical leadership role, ideal for someone who thrives in database management and cloud-based data solutions. You’ll lead one team member while staying 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.
- Lead and mentor one team member, with a focus on technical excellence rather than heavy management.
About You
This role is suited to a highly skilled database expert who enjoys problem-solving and working hands-on with data. While leadership is part of this role, 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.
- Experience leading or mentoring others, but with a technical-first mindset.
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!
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology
Industries
Technology, Information and Media
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Data Engineer (AWS) - £55k - ID38964 in Reading employer: Humand Talent
Join a dynamic UK tech business that values innovation and collaboration, offering you the chance to take ownership of a live SaaS platform. With a strong focus on employee growth, you'll have opportunities to mentor others and shape the technical direction of the company while enjoying a supportive work culture that encourages creativity and professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer (AWS) - £55k - ID38964 in Reading
✨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 previous experiences with database optimisation and data migration. Be ready to share specific examples of how you've successfully migrated legacy systems to AWS and the impact it had on performance.
✨Tip Number 3
Since this role involves leading a team member, think about your leadership style and how you can demonstrate your ability to mentor others. Prepare anecdotes that highlight your technical expertise and how you've guided others in their development.
✨Tip Number 4
Engage in mock interviews focusing on technical problem-solving scenarios. This will help you articulate your thought process clearly during the in-person technical task assessment, showcasing your hands-on approach and analytical skills.
We think you need these skills to ace Data Engineer (AWS) - £55k - ID38964 in Reading
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 led data migrations or optimised databases.
Craft a Compelling Cover Letter:In your cover letter, express your passion for data engineering and leadership. Mention how your hands-on experience aligns with the role's requirements and your enthusiasm for modernising data infrastructures.
Showcase Problem-Solving Skills:Provide examples in your application that demonstrate your problem-solving abilities, particularly in database management and cloud-based solutions. Highlight any challenges you've overcome in previous roles.
Prepare for Technical Questions:Anticipate technical questions related to AWS services, database optimisation, and data migration during the interview process. Be ready to discuss your approach to leading a team while maintaining a technical focus.
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 successfully optimised databases or migrated data systems to AWS.
✨Demonstrate Problem-Solving Abilities
Expect to face technical challenges during the interview. Practice articulating your thought process when solving problems, especially those related to data governance and performance monitoring.
✨Engage in Collaborative Discussions
Since the role involves working closely with cross-functional teams, be ready to participate in whiteboarding sessions. Show your ability to collaborate and communicate effectively with others.
✨Highlight Leadership Experience
Even though the focus is on technical skills, mention any experience you have in leading or mentoring team members. Emphasise your technical-first mindset and how you can guide others while remaining hands-on.
