Data Engineer

Searchability NS&D; England; On-site; GBP 76,500 - 93,500; Full time

Job summary

A leading National Security Consultancy in London seeks an eDV Cleared Data Engineer with AWS Cloud Experience. In this full-time position, you will be involved in building data pipelines and developing ETL/ELT processes using AWS technologies. The ideal candidate is expected to have a solid understanding of AWS tools, programming skills in languages such as Python and Java, and the ability to design data solutions addressing complex business needs. This role also offers competitive pay and bonuses.

Qualifications

• Strong expertise in AWS and related tools.
• Skilled in modern programming, especially Python and Java.
• Solid knowledge of data storage and big data technologies.

Responsibilities

• Build data pipelines for analytics and reporting.
• Develop efficient ETL/ELT workflows for data movement.
• Apply DevOps practices to streamline data processes.
• Design data solutions that meet business needs.

Skills

AWS expertise

Data Pipelines

ETL

Data Storage

DevOps methodologies

Python

Java

Scala

PySpark

Tools

AWS Glue

AWS Lambda

AWS Kinesis

AWS EMR

AWS Athena

AWS DynamoDB

AWS CloudWatch

AWS S3

Hadoop

Job description

Lead Consultant placing Security Cleared DevOps, Cloud, Data, Cyber, and Infrastructure candidates in the Southwest

New Permanent Opportunity for an eDV Cleared Data Engineer with AWS Cloud Experience for a leading National Security Consultancy in London.

Base Pay Range

• Up to £85,000 DoE plus bonuses
• London Location – full-time on-site when required
• Expertise required in AWS, Data Pipelines, ETL, Data Storage, and DevOps methodologies

Role Overview

This role sits within our client’s rapidly growing Cloud Data Platforms team, part of the Insights and Data Global Practice. You will join a multidisciplinary group of data and platform specialists who deliver modern cloud-based transformation for clients across a range of sectors. In this role, you will design and build data pipelines, develop ETL/ELT processes, and create innovative data solutions using the latest cloud technologies and frameworks across AWS.

Responsibilities

• Build data pipelines to ingest, process and transform data for analytics and reporting.
• Develop ETL/ELT workflows to move data efficiently into data warehouses, data lakes and lake houses using open-source and AWS tooling.
• Apply DevOps practices, including CI/CD, infrastructure as code and automation, to improve and streamline data engineering processes.
• Design effective data solutions that meet complex business needs and support informed decision-making.

Experience Required

• Strong AWS expertise, including tools such as Glue, Lambda, Kinesis, EMR, Athena, DynamoDB, CloudWatch, SNS and Step Functions.
• Skilled in modern programming, particularly Python, Java, Scala and PySpark.
• Solid knowledge of data storage and big data technologies, including data warehouses, databases, Redshift, RDS and Hadoop.
• Experience building and managing AWS data lakes on S3 for both structured and unstructured data.

What Happens Next

To apply, please either click online or email directly to [e-mail]. For further information, please call 07719065951 or 0161 4166800. By applying for this role, you give express consent for us to process and submit your application to our client in conjunction with this vacancy only. You may also connect with the hiring manager on LinkedIn by searching for their name. They look forward to hearing from you.

Seniority Level

Mid-Senior level

Employment Type

Full-time

Job Function

• Consulting and Information Technology

Industries

• Data Infrastructure and Analytics, Technology, Information and Media, and IT Services and IT Consulting