National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Engineer - AWS Redshift + Kafka - to £100k ID37553

Humand Talent
Slough
2 weeks ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

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!

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.

Part-Time Study Routes That Lead to Machine Learning Jobs: Evening Courses, Bootcamps & Online Masters

Machine learning—a subset of artificial intelligence—enables computers to learn from data and improve over time without explicit programming. From predictive maintenance in manufacturing to recommendation engines in e-commerce and diagnostic tools in healthcare, machine learning (ML) underpins many of today’s most innovative applications. In the UK, demand for ML professionals—engineers, data scientists, research scientists and ML operations specialists—is growing rapidly, with roles projected to increase by over 50% in the next five years. However, many aspiring ML practitioners cannot step away from work or personal commitments for full-time study. Thankfully, a rich ecosystem of part-time learning pathways—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn machine learning while working. This comprehensive guide examines each route: foundational CPD units, immersive bootcamps, accredited online MSc programmes, funding options, planning strategies and a real-world case study. Whether you’re a software developer branching into ML, a statistician aiming to upskill, or a professional exploring AI-driven innovation, you’ll discover how to build in-demand ML expertise on your own schedule.