Job Description

- AWS Data Engineer (Remote, UK)

Job Type:

Full-time, Permanent

Location:

Remote (within the United Kingdom)

Eligibility:

Must have the legal right to work in the UK

Experience Range:

3 to 12 years

Key Responsibilities

Design, build, and maintain scalable, secure, and efficient data pipelines on AWS. Develop

ETL/ELT workflows

using services such as

AWS Glue

,

AWS Lambda

,

EMR

,

Step Functions

, and

Kinesis

. Integrate data from APIs, databases, SaaS platforms, and streaming sources. Build and manage data lakes using

Amazon S3

and associated Lake Formation/Data Catalog components. Develop optimized

data models

, dimensional models, and analytical datasets for downstream consumption. Work with data warehousing technologies such as

Amazon Redshift

or Snowflake (optional). Collaborate with architects to design scalable, cost-effective AWS data architectures. Optimize performance of ETL pipelines, storage layers, and compute clusters. Implement best practices for monitoring, logging, and cloud resource utilization. Implement data quality checks, validation rules, and automated monitoring. Ensure security compliance using IAM, encryption, data access control, and AWS governance tools. Maintain documentation, lineage, and metadata for all data assets. Partner with data analysts, data scientists, BI teams, and product stakeholders. Translate business needs into technical design specifications. Participate in sprint planning, design reviews, and technical workshops.

Required Skills & Experience (3-12 Years)

Candidates will be considered at

junior-mid

,

mid-senior

, or

senior

levels depending on experience.

Core Technical Skills

Hands-on experience with

AWS data services

, such as: AWS Glue (ETL / PySpark) Amazon S3 AWS Lambda Amazon EMR / Spark Amazon Redshift or Redshift Spectrum AWS Step Functions Amazon Kinesis or MSK Strong

SQL

skills and proficiency in

Python

(PySpark experience preferred). Experience designing and maintaining

data pipelines

for batch and/or streaming workloads. Expertise in

data modelling

, data warehousing concepts, and data lake architectures. Experience with

version control (Git)

and

CI/CD

pipelines (AWS DevOps / CodePipeline / GitHub Actions etc.). Experience with Terraform or CloudFormation for IaC. Knowledge of Snowflake, Databricks, or other cloud data platforms. Exposure to MLops / data orchestration frameworks. AWS certifications (e.g.,

AWS Data Analytics - Specialty

,

AWS Solutions Architect

) are a plus.
Job Types: Full-time, Permanent

Pay: 55,000.00-110,000.00 per year

Benefits:

* Work from home