Cloud Data Engineer
Build and manage cloud-native data pipelines and lakehouses at scale
Job titles
Cloud Data Engineer, Data Engineer (Cloud) +
UK salary range
£55,000–£90,000
US salary range
$95,000–$145,000
Time to first role
1–3 years
About this role
A Cloud Data Engineer designs, builds, and maintains scalable data pipelines and infrastructure on cloud platforms. This role involves ingesting streaming and batch data, transforming it for analytics, and managing data lakehouses and warehouses. With the explosion of data and migration to cloud, demand for engineers who can operationalise data on AWS, Azure, and GCP is very high. Cloud Data Engineers work closely with data scientists and analysts to ensure data is reliable, accessible, and cost-efficient. Typical responsibilities include building ETL/ELT jobs, managing orchestration, optimising storage and compute, and implementing data governance. The role requires a blend of data engineering fundamentals and cloud platform expertise.
Key skills employers look for
Certification roadmap
Foundation
Build core cloud and data fundamentals
CLF-C02AWS Certified Cloud Practitioner
Establishes foundational cloud knowledge needed to understand AWS data services and architecture.
DP-900Microsoft Azure Data Fundamentals
Covers core data concepts and Azure data services, essential for Azure-based data engineering roles.
Google Cloud Digital LeaderGoogle Cloud Digital Leader
Provides a high-level understanding of Google Cloud data and analytics capabilities for data engineers.
Core Data Engineering
Master data pipeline and storage skills on a primary cloud
DEA-C01AWS Certified Data Engineer – Associate
Directly validates skills in building and managing data pipelines, storage, and orchestration on AWS – the core of this role.
DP-203Microsoft Azure Data Engineer Associate
Focuses on Azure data engineering including Azure Synapse, Data Factory, and Databricks – key for Azure-based roles.
Professional Data EngineerGoogle Professional Data Engineer
Validates ability to design and build data processing systems on Google Cloud, including BigQuery and Dataflow.
Specialisation & Advanced
Deepen expertise in databases, DevOps, and architecture
DBS-C01AWS Certified Database – Specialty
Deepens knowledge of AWS database services (RDS, DynamoDB, Redshift) critical for data storage and query optimisation.
SAA-C03AWS Certified Solutions Architect – Associate
Broadens architectural understanding of AWS services, helping design cost-effective and scalable data solutions.
Terraform Associate (003)HashiCorp Certified: Terraform Associate
Enables infrastructure-as-code for data pipelines and cloud resources, a key skill for modern data engineering teams.
CKADCertified Kubernetes Application Developer
Useful for deploying and managing containerised data processing workloads (e.g., Spark on Kubernetes).
Frequently asked questions
What is the typical salary for a Cloud Data Engineer in the UK and US?
In the UK, Cloud Data Engineers typically earn between £55,000 and £90,000 depending on experience and location. In the US, the range is $95,000 to $145,000, with senior roles exceeding $170,000.
Do I need prior IT experience to become a Cloud Data Engineer?
Yes, most entry-level roles require 1-3 years of experience in data or IT. Many start as data analysts, database administrators, or software developers before specialising. A strong foundation in SQL and Python is essential.
Which cloud platform is best for a Cloud Data Engineer career?
AWS and Azure currently have the most data engineering job postings. AWS offers the Data Engineer Associate certification, while Azure has DP-203. Google Cloud is growing but has fewer roles. Learning one platform deeply and cross-training is recommended.
How long does it take to get certified as a Cloud Data Engineer?
Starting from zero cloud knowledge, expect 6-12 months to earn a foundational cert and a core data engineering cert. Adding a specialisation or second platform cert can take another 3-6 months.
What are the job prospects for Cloud Data Engineers?
Very high. As companies migrate data to the cloud and adopt data-driven decision making, demand for engineers who can build and maintain cloud data pipelines continues to grow. The role is consistently listed among top tech jobs.
Key terms for this career path
These concepts underpin the certifications in this roadmap and appear regularly in exam questions.
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