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For Companies At a Glance
- Tasks: Design data models, build ETL pipelines, and create engaging dashboards.
- Company: Join a forward-thinking team that values diverse perspectives and personal growth.
- Benefits: Enjoy flexible hybrid work, free gym membership, chef-prepared meals, and generous holiday days.
- Why this job: Make a real impact with your work while developing leadership skills in a supportive environment.
- Qualifications: No specific qualifications mentioned; enthusiasm and willingness to learn are key.
- Other info: Diversity and inclusion are at the heart of our culture.
The predicted salary is between 60000 - 84000 £ per year.
Are you ready to level up your career and work on projects that really matter? This role is all about you – growing your skills, taking on new challenges, and making a real difference every day.
Why This Role is Perfect for You:
- Learn and Grow: Get stuck into using the latest AWS tools like Redshift, S3, and Kafka. You will be designing data models and building ETL pipelines, which means you are always learning something new and adding valuable skills to your toolkit.
- Make a Real Impact: Your work will not just be about crunching numbers. By turning raw data into clear insights, you will help shape decisions that drive the business forward. It is a great feeling to know that what you do matters.
- Step Up Your Leadership Game: With opportunities to mentor junior team members, you will be building leadership skills that can set you up for future management roles. Sharing your knowledge and helping others grow is not only rewarding but also a fantastic boost to your career.
- Exciting, Varied Work: Every day brings something new. Whether you are creating engaging dashboards with Tableau or integrating data from different sources via APIs, you will always have fresh challenges that keep your work interesting.
- A Supportive Environment: Work in a team that truly cares about your future. Enjoy flexible hybrid working options, free gym membership, chef-prepared meals, and plenty of holiday days so you can maintain a healthy work life balance.
What You Will Be Doing:
- Build and fine tune data models for both batch and real time processing.
- Design and maintain robust ETL pipelines that pull data from multiple sources.
- Analyse data to uncover trends that guide key business decisions.
- Create clear, engaging dashboards and reports using Tableau.
- Enhance our data infrastructure with a focus on scalability and security.
- Mentor and support junior team members, helping everyone to learn and grow.
Diversity and Inclusion: We truly believe that a mix of different perspectives makes us stronger. We are committed to creating a welcoming environment for everyone regardless of gender, race, religion or belief, disability, age, pregnancy and maternity, marriage and civil partnership, sexual orientation, or gender reassignment. Your unique viewpoint is what makes us better.
This is not just another job. It is a chance to build a bright future for yourself, work on projects that keep you engaged, and join a team that values your growth as much as its own success.
If you are ready to take the next step in your career, we would love to hear from you. Apply now and let us start this journey together!
Data Engineer - AWS Redshift + Kafka - to £100k (ID37553) employer: Humand Talent
Contact Detail:
Humand Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - AWS Redshift + Kafka - to £100k (ID37553)
✨Tip Number 1
Familiarise yourself with AWS tools, especially Redshift and S3. Consider taking online courses or certifications to demonstrate your knowledge and commitment to mastering these technologies.
✨Tip Number 2
Gain hands-on experience with Kafka by working on personal projects or contributing to open-source initiatives. This practical experience will not only enhance your skills but also provide you with real-world examples to discuss during interviews.
✨Tip Number 3
Network with professionals in the data engineering field, particularly those who work with AWS and Kafka. Attend meetups, webinars, or industry conferences to build connections that could lead to job referrals.
✨Tip Number 4
Prepare to discuss your experience with ETL processes and data modelling in detail. Be ready to share specific examples of how you've designed pipelines or analysed data to drive business decisions, as this will showcase your ability to make a real impact.
We think you need these skills to ace Data Engineer - AWS Redshift + Kafka - to £100k (ID37553)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience with AWS tools, data modelling, and ETL pipelines. Use specific examples that demonstrate your skills in these areas to catch the employer's attention.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and how it aligns with your career goals. Mention your experience with data analysis and dashboard creation, and explain how you can contribute to the team.
Showcase Your Projects: If you have worked on any projects involving AWS Redshift, Kafka, or Tableau, be sure to include them in your application. Describe your role and the impact of your work to illustrate your capabilities.
Highlight Leadership Experience: Since the role involves mentoring junior team members, emphasise any previous leadership or mentoring experiences you have had. This will show that you are ready to step up and support others in their growth.
How to prepare for a job interview at Humand Talent
✨Showcase Your Technical Skills
Be prepared to discuss your experience with AWS tools like Redshift and Kafka. Highlight specific projects where you've designed data models or built ETL pipelines, as this will demonstrate your hands-on expertise.
✨Emphasise Your Impact
Share examples of how your work has turned raw data into actionable insights. Discuss how your analyses have influenced business decisions, showcasing your ability to make a real impact.
✨Demonstrate Leadership Potential
Talk about any mentoring experiences you've had, even if informal. Illustrate how you’ve helped others grow, as this aligns with the company's focus on building leadership skills within the team.
✨Prepare for Varied Challenges
Expect questions about how you handle diverse tasks, from creating dashboards in Tableau to integrating data via APIs. Be ready to discuss your problem-solving approach and adaptability in a dynamic work environment.
