Data Engineer East London £49,400
Posted on Jul 28, 2026 by SmartSourcing Ltd
London, United Kingdom
IT
Immediate Start
£49.4k - £49.4k Annual
Full-Time
Data Engineer (AWS) 12-month FTC, Canary Wharf, London
One of our government clients is recruiting for a Data Engineer to join them on a 12-month fixed term contract (FTC). They are offering £49,400 per annum plus excellent pension.
This is an exciting opportunity to apply your data engineering skills for the public good in the Data, Technology and Insights (DTI) unit, a multidisciplinary team of data engineers, data scientists, technologists, behavioural scientists, and digital forensics experts.
What you'll do:
Join a multidisciplinary team of data engineers and data scientists working on the data processing and analytical capabilities.
Spend most of your time on hands-on technical work with support for learning and professional development.
Design, build and maintain scalable data pipelines to ingest, transform and process large and complex data sources. This can include automated web scraping and bulk data acquisition workflows.
Implement data transformation, validation, and quality controls to ensure datasets are reliable, reproducible and analysis ready.
Build and maintain containerised data and analytics applications (such as dashboards and data tools) that run scalable workloads.
Implement and manage data workflow orchestration and scheduling to ensure observable and maintainable execution of data pipelines and jobs.
Apply Infrastructure as Code (IaC) where necessary to support data pipelines and processing workflows on our AWS-based infrastructure.
Design and maintain systems for data version control and reproducible machine learning workflows (MLOps).
Work with analysts, data scientists, and engineers to translate analytical and operational requirements into data-solutions.
What you'll need:
Experience delivering production data pipelines end-to-end, including design, implementation, and operational maintenance, in a cloud environment. (Lead Criteria)
An undergraduate degree in a quantitative subject OR equivalent experience working in data engineering, data science, or development in the cloud. (Lead Criteria)
Experience writing production-quality Python code to work with complex or messy datasets. (Lead Criteria)
Understanding of core data engineering best practices, such as data-modelling, transformation, validation, testing, and reproducibility.
Experience working collaboratively within multidisciplinary teams, including analysts, data scientists, or other engineers.
Strong communication skills, with the ability to present work in a straightforward and engaging way, including to non-technical audiences
One of our government clients is recruiting for a Data Engineer to join them on a 12-month fixed term contract (FTC). They are offering £49,400 per annum plus excellent pension.
This is an exciting opportunity to apply your data engineering skills for the public good in the Data, Technology and Insights (DTI) unit, a multidisciplinary team of data engineers, data scientists, technologists, behavioural scientists, and digital forensics experts.
What you'll do:
Join a multidisciplinary team of data engineers and data scientists working on the data processing and analytical capabilities.
Spend most of your time on hands-on technical work with support for learning and professional development.
Design, build and maintain scalable data pipelines to ingest, transform and process large and complex data sources. This can include automated web scraping and bulk data acquisition workflows.
Implement data transformation, validation, and quality controls to ensure datasets are reliable, reproducible and analysis ready.
Build and maintain containerised data and analytics applications (such as dashboards and data tools) that run scalable workloads.
Implement and manage data workflow orchestration and scheduling to ensure observable and maintainable execution of data pipelines and jobs.
Apply Infrastructure as Code (IaC) where necessary to support data pipelines and processing workflows on our AWS-based infrastructure.
Design and maintain systems for data version control and reproducible machine learning workflows (MLOps).
Work with analysts, data scientists, and engineers to translate analytical and operational requirements into data-solutions.
What you'll need:
Experience delivering production data pipelines end-to-end, including design, implementation, and operational maintenance, in a cloud environment. (Lead Criteria)
An undergraduate degree in a quantitative subject OR equivalent experience working in data engineering, data science, or development in the cloud. (Lead Criteria)
Experience writing production-quality Python code to work with complex or messy datasets. (Lead Criteria)
Understanding of core data engineering best practices, such as data-modelling, transformation, validation, testing, and reproducibility.
Experience working collaboratively within multidisciplinary teams, including analysts, data scientists, or other engineers.
Strong communication skills, with the ability to present work in a straightforward and engaging way, including to non-technical audiences
SmartSourcing are a Disability Confident Employer and we promote, celebrate and value diversity, we are committed to promoting equality and inclusion for all.
Reference: 3145619257
https://jobs.careeraddict.com/post/113618032
Data Engineer East London £49,400
Posted on Jul 28, 2026 by SmartSourcing Ltd
London, United Kingdom
IT
Immediate Start
£49.4k - £49.4k Annual
Full-Time
Data Engineer (AWS) 12-month FTC, Canary Wharf, London
One of our government clients is recruiting for a Data Engineer to join them on a 12-month fixed term contract (FTC). They are offering £49,400 per annum plus excellent pension.
This is an exciting opportunity to apply your data engineering skills for the public good in the Data, Technology and Insights (DTI) unit, a multidisciplinary team of data engineers, data scientists, technologists, behavioural scientists, and digital forensics experts.
What you'll do:
Join a multidisciplinary team of data engineers and data scientists working on the data processing and analytical capabilities.
Spend most of your time on hands-on technical work with support for learning and professional development.
Design, build and maintain scalable data pipelines to ingest, transform and process large and complex data sources. This can include automated web scraping and bulk data acquisition workflows.
Implement data transformation, validation, and quality controls to ensure datasets are reliable, reproducible and analysis ready.
Build and maintain containerised data and analytics applications (such as dashboards and data tools) that run scalable workloads.
Implement and manage data workflow orchestration and scheduling to ensure observable and maintainable execution of data pipelines and jobs.
Apply Infrastructure as Code (IaC) where necessary to support data pipelines and processing workflows on our AWS-based infrastructure.
Design and maintain systems for data version control and reproducible machine learning workflows (MLOps).
Work with analysts, data scientists, and engineers to translate analytical and operational requirements into data-solutions.
What you'll need:
Experience delivering production data pipelines end-to-end, including design, implementation, and operational maintenance, in a cloud environment. (Lead Criteria)
An undergraduate degree in a quantitative subject OR equivalent experience working in data engineering, data science, or development in the cloud. (Lead Criteria)
Experience writing production-quality Python code to work with complex or messy datasets. (Lead Criteria)
Understanding of core data engineering best practices, such as data-modelling, transformation, validation, testing, and reproducibility.
Experience working collaboratively within multidisciplinary teams, including analysts, data scientists, or other engineers.
Strong communication skills, with the ability to present work in a straightforward and engaging way, including to non-technical audiences
One of our government clients is recruiting for a Data Engineer to join them on a 12-month fixed term contract (FTC). They are offering £49,400 per annum plus excellent pension.
This is an exciting opportunity to apply your data engineering skills for the public good in the Data, Technology and Insights (DTI) unit, a multidisciplinary team of data engineers, data scientists, technologists, behavioural scientists, and digital forensics experts.
What you'll do:
Join a multidisciplinary team of data engineers and data scientists working on the data processing and analytical capabilities.
Spend most of your time on hands-on technical work with support for learning and professional development.
Design, build and maintain scalable data pipelines to ingest, transform and process large and complex data sources. This can include automated web scraping and bulk data acquisition workflows.
Implement data transformation, validation, and quality controls to ensure datasets are reliable, reproducible and analysis ready.
Build and maintain containerised data and analytics applications (such as dashboards and data tools) that run scalable workloads.
Implement and manage data workflow orchestration and scheduling to ensure observable and maintainable execution of data pipelines and jobs.
Apply Infrastructure as Code (IaC) where necessary to support data pipelines and processing workflows on our AWS-based infrastructure.
Design and maintain systems for data version control and reproducible machine learning workflows (MLOps).
Work with analysts, data scientists, and engineers to translate analytical and operational requirements into data-solutions.
What you'll need:
Experience delivering production data pipelines end-to-end, including design, implementation, and operational maintenance, in a cloud environment. (Lead Criteria)
An undergraduate degree in a quantitative subject OR equivalent experience working in data engineering, data science, or development in the cloud. (Lead Criteria)
Experience writing production-quality Python code to work with complex or messy datasets. (Lead Criteria)
Understanding of core data engineering best practices, such as data-modelling, transformation, validation, testing, and reproducibility.
Experience working collaboratively within multidisciplinary teams, including analysts, data scientists, or other engineers.
Strong communication skills, with the ability to present work in a straightforward and engaging way, including to non-technical audiences
SmartSourcing are a Disability Confident Employer and we promote, celebrate and value diversity, we are committed to promoting equality and inclusion for all.
Reference: 3145619257
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