Data Engineer

SmartSourcing Ltd; Manchester; Hybrid; GBP 49,000 - 60,000; Full time

Benefits offered by this job

Hybrid working

Office locations

Job summary

SmartSourcing Ltd is seeking a Cloud Data Engineer (Python) to design, build and operate data pipelines in a cloud environment. This hands-on role involves end-to-end solutions and collaboration across disciplines.

You will work in a hybrid setup across multiple UK locations, applying IaC, AWS and containerised apps, with learning opportunities and professional development. Salary is up to £54,150 with a strong pension.

Qualifications

• End-to-end data pipelines in a cloud environment.
• Production-quality Python with large datasets.
• Undergraduate degree in a quantitative subject or equivalent experience.
• Strong data engineering practices: modelling, transformation, validation, testing.
• Experience collaborating in multidisciplinary teams.
• Strong communication with non-technical audiences.

Responsibilities

• Build and operate reliable, scalable data infrastructure and pipelines on AWS.
• Design and maintain scalable data pipelines for large datasets.
• Develop automated web scraping and data acquisition workflows.
• Implement data transformation, validation, testing, quality controls.
• Build containerised data apps and dashboards.
• Manage workflow orchestration to ensure observable pipelines.
• Apply IaC to support data pipelines on AWS.
• Collaborate with data scientists, analysts and engineers.

Skills

Python

Data engineering

Cloud environments

Team collaboration

Education

Undergraduate degree in a quantitative subject

Tools

AWS

Docker

Kubernetes

Job description

Cloud Data Engineer (Python)

Up to £54,150 per annum + excellent pension | Hybrid working | London, Manchester, Cardiff, Belfast, Edinburgh or Darlington

Are you an experienced Data or Software Engineer with hands‑on experience of:

Python and end to end Cloud deployment, looking for a role where your work can make a real difference?

Our Government client is looking for a Data Engineer to join its Data, Technology and Insights (DTI) unit on a 12‑month fixed‑term contract.

You’ll join a multidisciplinary team of data engineers, data scientists, technologists, behavioural scientists and digital forensics experts, working on data processing and analytical projects for both internal team and user‑initiated projects.

This is a hands‑on role where you’ll spend most of your time designing, building and maintaining data solutions, with plenty of opportunity for learning and professional development.

The Role

• As a Data Engineer, you’ll help build and operate reliable, scalable data infrastructure and pipelines across an AWS cloud environment. Producing high-quality code in Python (and other languages, as needed).
• Design, build and maintain scalable data pipelines to ingest, transform and process large and complex datasets.
• Develop automated web scraping and bulk data acquisition workflows.
• Implement data transformation, validation, testing and quality controls to ensure datasets are reliable, reproducible and ready for analysis.
• Build and maintain containerised data and analytics applications, including dashboards and data tools.
• Implement and manage workflow orchestration and scheduling to ensure data pipelines and jobs are observable, reliable and maintainable.
• Apply Infrastructure as Code (IaC) to support data pipelines and processing workflows on AWS.
• Design and maintain systems for data version control and reproducible machine learning workflows (MLOps).
• Work closely with data scientists, analysts and engineers to translate analytical and operational requirements into effective data solutions.
• Contribute to a collaborative, multidisciplinary environment and share knowledge with colleagues.

About You

We’re looking for a Data or Software Engineer who has experience delivering production data solutions and enjoys solving complex data problems.

Essential experience

• Experience delivering production data pipelines end-to-end, including design, development, implementation and operational maintenance in a cloud environment.
• Experience writing production-quality Python to work with complex, messy or large datasets (Minimum 2 years)
• An undergraduate degree in a quantitative subject, or equivalent professional experience in data engineering, data science or cloud development.
• A strong understanding of data engineering best practices, including data modelling, transformation, validation, testing.
• Experience working collaboratively within multidisciplinary teams.
• Strong communication skills, with the ability to explain technical work clearly and engage with non‑technical audiences.

Why Join?

This is an opportunity to use your technical expertise on diverse projects that have a meaningful impact on the public good.

You’ll work alongside specialists from a range of disciplines, tackling interesting and complex data challenges while continuing to develop your technical skills.

You’ll also receive:

• £49,400 salary + DDAT Allowance of up to £4,750 dependent upon experience
• Excellent pension
• 12‑month fixed‑term contract
• Hybrid working
• Choice of office location: London, Manchester, Cardiff, Belfast, Edinburgh or Darlington
• Opportunities for learning and professional development including 10 L & D days per annum.
• The opportunity to work with experienced data, technology and analytical specialists