URGENT HIRE | Full Stack Engineer - Python/AWS/Azure/Data

Templeton and Partners Ltd
London, UK
6 days ago
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Role details

Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Experience level
Starter
Experience required
1 year minimum
Compensation
£40,000.0 - £60,000.0
Working hours
Shift work
Languages
English

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Data Analysis Microsoft Azure Big Data Cloud Computing Databases Continuous Integration Data as a Services Information Engineering Data Infrastructure
+23 more
Data Integration Extract Transform Load (ETL) Data Warehousing Database Queries Python (Programming Language) Operational Databases Next.js Software Engineering SQL Databases Data Streaming Cloud Platform System ReactJS Snowflake Backend Git Data Lakes Data Analytics Non-relational Database Data Management Front End Software Development Restful APIs Data Pipelines Databricks

Job description

Rather than focusing on one part of the technology stack, you’ll work across Back End services, APIs, databases, data pipelines and cloud environments, supporting real production applications and contributing to client projects.

Why this role?

You’ll gain hands-on exposure to:

  • AWS cloud & migration
  • Python development
  • SQL, databases & data platforms
  • Data pipelines & ETL/ELT
  • APIs & Back End engineering
  • CI/CD & production systems
  • Analytics & modern data platforms
  • AI/ML and emerging AI technologies

It’s a strong opportunity for someone early in their career who wants to develop into a well-rounded Full Stack/Data Engineer rather than being limited to a single technology.

What You’ll Be Doing

Cloud & Platform Engineering

  • Support the migration of existing data services and applications from private infrastructure to AWS.
  • Deploy, operate and optimise services across AWS and Azure environments.
  • Monitor and troubleshoot production applications and data platforms.

Full Stack & Backend Development

  • Develop and maintain Back End services using Python.
  • Design and integrate APIs and Server Side applications.
  • Work with relational and non-relational databases.
  • Contribute to Front End development where required.

Data Engineering

  • Build, maintain and optimise data pipelines.
  • Develop ETL/ELT workflows and data integrations.
  • Work with data warehouses, data lakes and analytics-ready platforms.
  • Ensure data quality, reliability and performance.

Production & Delivery

  • Take ownership of existing production data applications, supporting and continuously improving them.
  • Investigate technical issues and perform root-cause analysis.
  • Use Git and CI/CD practices to deliver reliable software.
  • Document technical solutions, architectures and data flows.

Collaboration

  • Work alongside consultants, project managers, data scientists, AI engineers and analysts.
  • Translate business and client requirements into practical technical solutions.
  • Contribute to technical specifications, estimates, proof-of-concepts and project delivery.

Requirements

Essential

  • 1-3 years’ commercial experience in software engineering, full-stack development or data engineering.
  • Strong Python skills.
  • Strong SQL skills.
  • Experience with AWS and Azure cloud services, including deployment and operational support.
  • Hands-on experience with data pipelines, ETL/ELT processes, and data orchestration tools.
  • Experience working with production systems.
  • Experience developing Back End services and/or REST APIs.
  • Experience with databases and data-intensive applications.
  • Familiarity with Git and CI/CD.
  • Commercial exposure to AWS and/or Azure, with AWS experience particularly valuable.
  • Strong analytical and problem-solving ability.
  • Excellent written and spoken English.

Desirable - Great Advantage But Not Essential

Experience with any of the following would strengthen your application:

  • Experience with Front End web technologies and frameworks such as React and Next.js.
  • Experience with nextgen datawarehouse/data analytics platforms such as Snowflake or Databricks

About the company

An established global IT and Digital Solutions organisation is looking for an early-career Full Stack Engineer to join its Automation & Analytics team in London.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

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Prepare application

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