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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
2
Salary range
£45k – £100k
Hiring companies
2
View 2 live roles → 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

£45k – £100k

Based on advertised midpoints across the 42 UK listings priced in pounds in the last 12 months. Base salary only.

Salary visibility
44% of listings advertise a salary — up from 0% the year before.
By seniority
£k base
Mid
43
84
13 jobs
Senior
51
100
13 jobs
Skills & tools

What hiring managers ask for

% of 31 listings posted in the last 12 months that mention each skill, extracted from job descriptions.

SQL
84%
Python
74%
ETL
55%
Azure
39%
AWS
35%
PySpark
35%
Scala
26%
Data Warehousing
26%
Data Modelling
26%
Data Engineering
26%
Data Governance
23%
CI/CD
23%
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.

Live jobs

2 live roles

Avanti Recruitment

DV Cleared Data Architects / Data Engineers Wanted | Any Cloud

Save job
  • Manchester
  • Hybrid · 2 days in office
  • £60,000 – £100,000 pa
  • Senior

End-to-end data architecture role owning the full data lifecycle, from ingestion to consumption, across secure client environments. Involves designing lakehouse and medallion architectures, defining batch and streaming pipelines, and making decisions on storage, orchestration, governance and security. Cloud-agnostic, working with AWS, Azure or GCP alongside Databricks, Snowflake, Spark and Kafka.

AWS · Azure · GCP +7

DV clearance Last month

Intec Select

Data Engineer + AI Engineering (Python & Cloud Systems)

Save job
  • London
  • Hybrid · 4 days in office
  • £65,000 – £80,000 pa
  • Permanent

Hands-on role building complete software and data systems end to end, from architecture through to production, for an investment management firm. Work spans Python and SQL backends, REST APIs, data pipelines, cloud infrastructure and applied AI/LLM tools for document processing, reporting and automation, with freedom to shape architectural decisions in a small, entrepreneurial team.

Azure · PostgreSQL · FastAPI +4

Yesterday
Hiring locations

Where this role is hiring

The locations with the most live listings for this role today.

London

Location
1 open

Manchester

Location
1 open
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.

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