Future Tech Jobs Future Tech Jobs

Cloud Data Engineer Jobs

Specialists who design, build, and maintain data infrastructure in the cloud. Essential for scaling data operations and ensuring robust data pipelines.

Open roles
0
Salary range
£60k – £90k
Browse latest jobs → Get an alert

Cloud Data Engineers are the backbone of modern data infrastructure, focusing on building, maintaining, and optimising data pipelines and storage solutions in cloud environments. They work with platforms like AWS, Azure, and GCP to ensure data is efficiently processed, stored, and accessible. These roles are in high demand across tech scaleups, research-heavy startups, and the larger consultancies, where robust data infrastructure is crucial for business growth and innovation.

What the role does

Inside the role of a Cloud Data Engineer

A typical week for a Cloud Data Engineer is split between designing and implementing data pipelines, troubleshooting issues, and collaborating with cross-functional teams.

  1. 01
    Design and implement data pipelines using cloud services.
  2. 02
    Optimise data storage and retrieval processes for efficiency.
  3. 03
    Troubleshoot and resolve data infrastructure issues.
  4. 04
    Collaborate with data scientists and analysts on data requirements.
  5. 05
    Monitor and maintain data security and compliance.
  6. 06
    Document and communicate data infrastructure changes and improvements.
Salary on the board

£60k – £90k

Based on advertised midpoints across the 6 priced listings posted in the last 12 months. Base salary only.

By seniority
£k base
Mid
60
90
2 jobs
Senior
60
80
4 jobs
Career ladder

From Junior to Principal

A typical UK progression for cloud data engineers. Years are guidance — strong people move faster, and many senior folks sidestep into research, product or management.

  1. Level 1

    Junior Cloud Data Engineer

    0–2 yrs

    Assists in the design and implementation of basic data pipelines and storage solutions, with guidance from senior team members.

  2. Level 2

    Cloud Data Engineer

    2–5 yrs

    Takes ownership of designing and implementing complex data pipelines, ensuring data is efficiently processed and stored.

  3. Level 3

    Senior Cloud Data Engineer

    5–8 yrs

    Leads the design and implementation of large-scale data infrastructure projects, mentoring junior engineers and collaborating with cross-functional teams.

  4. Level 4

    Principal Cloud Data Engineer

    8+ yrs

    Strategises and oversees the entire data infrastructure, driving innovation and best practices across the organisation.

Pathway

How to become a Cloud Data Engineer

There's no single route, but most people follow some version of these steps.

  1. 1

    Learn cloud fundamentals

    Gain a solid understanding of cloud platforms like AWS, Azure, and GCP, and their core services.

  2. 2

    Build data pipelines

    Start designing and implementing basic data pipelines, focusing on ETL/ELT processes and data warehousing.

  3. 3

    Optimise and scale

    Enhance your skills in optimising data storage and processing, and learn to scale data infrastructure efficiently.

  4. 4

    Lead projects

    Take on leadership roles in large-scale data infrastructure projects, mentoring junior engineers and collaborating with cross-functional teams.

  5. 5

    Drive innovation

    Strategise and drive innovation in data infrastructure, implementing best practices and new technologies.

No Cloud Data Engineer Jobs jobs right now

We don't have any matching roles at the moment, but new jobs are added daily.

Latest jobs

Source Global Research logo

AI & Data Engineer

This role involves maintaining and enhancing the company's data infrastructure while leading AI-driven improvements. You will design and deploy AI features, build vector databases, and transform ETL/ELT processes into AI-ready pipelines. Additionally, you will mentor the team on MLOps and AI best practices, ensuring data quality and system performance.

Source Global Research London, United Kingdom
Hybrid Permanent
Confluent logo

Senior Software Engineer II, Kora Compute

This role involves building and maintaining the compute layer of Kora, a cloud-native event streaming platform for Kafka. You will work on highly available, reliable, and scalable systems, collaborating closely with the team and stakeholders to deliver top-notch solutions. The role focuses on solving complex distributed systems and infrastructure challenges, with a strong emphasis on customer success and team collaboration.

Confluent United Kingdom
Remote Permanent
RSM logo

Senior Data Engineer

The Senior Data Engineer / Analytics Lead will establish and lead the data engineering and analytics capability within RSM's Forensic Technology team. Responsibilities include designing and building data pipelines, working directly with clients and regulators, mentoring junior staff, and setting technical standards. This greenfield role offers the opportunity to shape the function and deliver impactful forensic solutions.

RSM London, United Kingdom
On-site Permanent
Databricks logo

EMEA Energy Industry Go-To-Market (GTM) Leader

This role involves leading the go-to-market strategy for Databricks in the energy sector across EMEA. Responsibilities include setting AI vision with top energy accounts, driving pipeline growth, and aligning cross-functional teams. The position requires deep industry expertise and a proven track record in strategic consulting and technology commercialization.

Databricks United Kingdom
Hybrid Permanent
Just Eat Takeaway.com logo

Principal Engineer, Data Platforms

This role involves defining the long-term technical vision and roadmap for Just Eat Takeaway.com's modern Data Platform, including data warehousing, data lakes, streaming, and governance. You will lead the design and governance of core data infrastructure, act as a hands-on contributor, and mentor senior engineers to raise the technical bar across the organization.

Just Eat Takeaway.com London, United Kingdom
Hybrid Permanent
Genomics England logo

Bioinformatics Engineer (we have office locations in Cambridge, Leeds & London)

The Bioinformatics Engineer will develop and scale knowledge platforms that support the NHS Whole Genome Sequencing (WGS) Genomic Medicine Service. Key responsibilities include building APIs, data models, and pipelines for high-quality genomic data, collaborating with genomic data scientists and engineers, and ensuring clinical and biological accuracy in software. The role involves working in an agile team to deliver robust, testable, and clinically relevant systems.

Genomics England Cambridge, Cambridgeshire, United Kingdom £56,000 – £65,000 pa
On-site Permanent Clearance Required
Browse all jobs →
FAQs

Common questions

  • Key skills include proficiency in cloud platforms (AWS, Azure, GCP), experience with data pipelines and ETL/ELT processes, and strong problem-solving abilities.

  • Certifications like AWS Certified Data Engineer, Azure Data Engineer Associate, and Google Cloud Professional Data Engineer are highly valued in the industry.

  • A Cloud Data Engineer focuses on building and maintaining data infrastructure, while a Data Scientist focuses on analysing and modelling data to derive insights.

  • Common tools include Apache Kafka, Apache Spark, AWS Glue, Azure Data Factory, and Google BigQuery.

  • Salaries for Cloud Data Engineers can vary widely based on experience and location. For specific salary ranges, please refer to the salary section on this page.

Hiring cloud data engineers?

Post your role in 90 seconds and reach the specialist audience that already reads this page.

Post a job → See pricing

🍪 Basic, anonymous analytics (aggregate counts only, never shared) are always on. Accept to also enable third-party tools — Google Analytics, Microsoft Clarity, Mixpanel, Leadfeeder — which help us match you with relevant Data Engineering roles. We never sell your data or use it for cross-site advertising. See our Cookie Policy.