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

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

London Full-Time 43200 - 72000 £ / year (est.) No home office possible
H

At a Glance

  • Tasks: Design data models, build ETL pipelines, and create engaging dashboards.
  • Company: Join a forward-thinking company that values diversity and innovation.
  • 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 growing your skills and leadership potential.
  • Qualifications: Experience with AWS tools and data engineering is essential.
  • Other info: Diversity and inclusion are at the heart of our culture.

The predicted salary is between 43200 - 72000 £ 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!

Senior Data Engineer - AWS - £100k base + benefits (ID37553) employer: Humand Talent

Join a forward-thinking company that prioritises your professional growth and well-being as a Senior Data Engineer in a vibrant location. With access to cutting-edge AWS tools, a supportive team culture, and opportunities for mentorship, you will not only enhance your technical skills but also develop leadership capabilities. Enjoy a flexible hybrid working environment, generous benefits including free gym membership and chef-prepared meals, and a commitment to diversity and inclusion, making this an exceptional place to build a rewarding career.
H

Contact Detail:

Humand Talent Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Engineer - AWS - £100k base + benefits (ID37553)

Tip Number 1

Familiarise yourself with the latest AWS tools mentioned in the job description, such as Redshift, S3, and Kafka. Having hands-on experience or projects showcasing these technologies can significantly boost your chances of standing out during the interview process.

Tip Number 2

Prepare to discuss your experience with building ETL pipelines and data models. Be ready to share specific examples of how you've designed and maintained these systems, as this will demonstrate your practical knowledge and problem-solving skills.

Tip Number 3

Showcase your ability to analyse data and derive insights that influence business decisions. Think of instances where your analysis led to significant outcomes, and be prepared to articulate these during your conversations with us.

Tip Number 4

Highlight any mentoring or leadership experiences you have. Since this role involves supporting junior team members, demonstrating your capability to lead and nurture talent will resonate well with our values and expectations.

We think you need these skills to ace Senior Data Engineer - AWS - £100k base + benefits (ID37553)

AWS (Amazon Web Services)
Redshift
S3
Kafka
ETL Pipeline Development
Data Modelling
Data Analysis
Tableau
API Integration
Scalability and Security in Data Infrastructure
Mentoring and Leadership Skills
Problem-Solving Skills
Communication Skills
Attention to Detail

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience with AWS tools like Redshift, S3, and Kafka. Emphasise your skills in designing data models and building ETL pipelines, as these are key aspects of the role.

Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and how it aligns with your career goals. Mention specific projects or experiences that demonstrate your ability to turn raw data into actionable insights.

Showcase Leadership Experience: If you have experience mentoring or leading teams, be sure to include this in your application. Highlight how you've helped others grow and how this experience prepares you for the leadership opportunities mentioned in the job description.

Demonstrate Cultural Fit: Reflect on the company's commitment to diversity and inclusion in your application. Share any experiences or perspectives that showcase your alignment with their values and how you can contribute to a supportive team environment.

How to prepare for a job interview at Humand Talent

Showcase Your AWS Knowledge

Make sure to brush up on your knowledge of AWS tools like Redshift, S3, and Kafka. Be prepared to discuss how you've used these technologies in past projects and how they can be applied to the role.

Demonstrate Your Data Modelling Skills

Be ready to talk about your experience in designing data models and building ETL pipelines. Consider bringing examples of your work or discussing specific challenges you've faced and how you overcame them.

Highlight Your Leadership Experience

Since this role involves mentoring junior team members, share any relevant leadership experiences you have. Discuss how you've supported others in their growth and how you plan to continue doing so in this new position.

Prepare for Technical Questions

Expect technical questions related to data analysis, dashboard creation with Tableau, and data infrastructure. Practise explaining your thought process clearly and concisely, as this will demonstrate your problem-solving skills.

Senior Data Engineer - AWS - £100k base + benefits (ID37553)
Humand Talent
H
  • Senior Data Engineer - AWS - £100k base + benefits (ID37553)

    London
    Full-Time
    43200 - 72000 £ / year (est.)

    Application deadline: 2027-04-23

  • H

    Humand Talent

Similar positions in other companies
Europas größte Jobbörse für Gen-Z
discover-jobs-cta
Discover now
>