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AWS Data Engineer - Redshift - £100k base + benefits (ID37553)

JR United Kingdom

London

On-site

GBP 100,000

Full time

17 days ago

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Job summary

An established industry player is seeking an AWS Data Engineer to join their innovative team in London. This role focuses on utilizing cutting-edge AWS tools like Redshift, S3, and Kafka to design data models and build robust ETL pipelines. You will have the opportunity to mentor junior team members and enhance your leadership skills while creating impactful dashboards with Tableau. Enjoy a flexible hybrid working environment, free gym membership, and ample holiday days to ensure a healthy work-life balance. This is not just a job; it’s a chance to grow your career and make a real difference in a supportive team.

Benefits

Flexible hybrid working options
Free gym membership
Chef-prepared meals
Plenty of holiday days

Qualifications

  • Experience with AWS tools and data modeling.
  • Strong analytical skills to derive insights from data.

Responsibilities

  • Build and maintain ETL pipelines for data processing.
  • Create engaging dashboards and reports using Tableau.

Skills

AWS
Redshift
ETL pipelines
Data analysis
Tableau
API integration
Mentoring

Tools

S3
Kafka

Job description

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AWS Data Engineer - Redshift - £100k base + benefits (ID37553), London
Client:

Humand Talent

Location:

London, United Kingdom

Job Category:

Other

EU work permit required:

Yes

Job Views:

6

Posted:

24.04.2025

Expiry Date:

08.06.2025

Job Description:

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:

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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:

  1. Build and fine-tune data models for both batch and real-time processing.
  2. Design and maintain robust ETL pipelines that pull data from multiple sources.
  3. Analyse data to uncover trends that guide key business decisions.
  4. Create clear, engaging dashboards and reports using Tableau.
  5. Enhance our data infrastructure with a focus on scalability and security.
  6. 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!

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