Junior Data Engineer - Apprenticeship
Chambers and Partners
London (EC4A 2AE)
Closes in 14 days (Friday 24 April 2026)
Posted on 10 April 2026
Contents
Summary
Join Chambers as a Junior Data Engineer. This is a fantastic opportunity to gain practical experience in our growing Data team and also study towards a Level 5 Data Engineer Apprenticeship. If you are keen to learn, develop your data engineering skills and you are a motivated/detail-oriented individual, we’d love to hear from you!
- Wage
-
Competitive
Competitive wage offered
- Training course
- Data engineer (level 5)
- Hours
-
Monday to Friday
9.00am to 5.30pm
37 hours 30 minutes a week
- Start date
-
Tuesday 26 May 2026
- Duration
-
1 year 7 months
- Positions available
-
1
Work
Most of your apprenticeship is spent working. You’ll learn on the job by getting hands-on experience.
What you'll do at work
Main Duties and Responsibilities:
- Write clean and testable code using SQL and Python scripting languages, to enable our customer data products and business applications
- Build and manage data pipelines and notebooks, deploying code in a structured, trackable and safe manner
- Effectively create, optimise and maintain automated systems and processes across a given project(s) or technical domain
- Analyse, profile and plan work, aligned with project priorities
- Perform reviews of code, refactoring where necessary
- Deploy code in a structured, trackable and safe manner
- Document your data developments and operational procedures
- Ensure adherence to data/software delivery standards and effective delivery
- Help monitor, troubleshoot and resolve production data issues when they occur
- Contribute to the continuous improvement of the team
- Contribute to the team’s ability to make and deliver on their commitments
- Innovate and experiment with technology to deliver real business benefits
- Regularly launch products and services based on your work and be an integral part of making these a success
- Guide, influence and challenge the technology team and stakeholders to understand the benefits, pros and cons of various technical options
- Promote an innovative thinking process and encourage it in others
- Working within the agile framework at Chambers
Where you'll work
165 Fleet Street
London
EC4A 2AE
Training
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
Training provider
BPP PROFESSIONAL EDUCATION LIMITED
Training course
Data engineer (level 5)
Understanding apprenticeship levels (opens in new tab)
What you'll learn
Course contents
- Collate, evaluate and refine user requirements to design the data product.
- Collate, evaluate and refine business requirements including cost, resourcing, and accessibility to design the data product.
- Design a data product to serve multiple needs and with scalability, efficiency, and security in mind.
- Automate data pipelines such as batch, real-time, on demand and other processes using programming languages and data integration platforms with graphical user interfaces.
- Produce and maintain technical documentation explaining the data product, that meets organisational, technical and non-technical user requirements, retaining critical information.
- Systematically clean, validate, and describe data at all stages of extract, transform, load (ETL).
- Work with different types of data stores, such as SQL, NoSQL, and distributed file system.
- Identify and troubleshoot issues with data processing pipelines.
- Query and manipulate data using tools and programming such as SQL and Python. Manage database access, and implement automated validation checks.
- Communicate downtime and issues with database access to stakeholders to mitigate the operational impact of unforeseen issues.
- Evaluate opportunities to extract value from existing data products through further development, considering costs, environmental impact and potential operational benefits.
- Maintain a working knowledge of data use cases within organisations.
- Use data systems securely to meet requirements and in line with organisational procedures and legislation.
- Identify new tools and technologies and recommend potential opportunities for use in own department or organisation.
- Optimise data ingestion processes by making use of appropriate data ingestion frameworks such as batch, streaming and on-demand.
- Develop algorithms and processes to extract structured data from unstructured sources.
- Apply and advocate for software development best practice when working with other data professionals throughout the business. Contribute to standards and ways of working that support software development principles.
- Develop simple forecasts and monitoring tools to anticipate or respond immediately to outages and incidents.
- Identify and escalate risks with suggested mitigation/resolutions as appropriate.
- Investigate and respond to incidents, identifying the root cause and resolution with internal and external stakeholders.
- Identify and remediate technical debt, assess for updates and obsolescence as part of continuous improvement.
- Develop, maintain collaborative relationships using adaptive business methodology with stakeholders such as, business users, data scientists, data analysts and business intelligence teams.
- Present, communicate, and disseminate messages about the data product, tailoring the message and medium to the needs of the audience.
- Evaluate the strengths and weaknesses of prototype data products and how these integrate within an organisation’s overarching data infrastructure.
- Assess and identify gaps in existing tools and technologies in respect of implementing changes required.
- Identify data quality metrics and track them to ensure the quality, accuracy and reliability of the data product.
- Selects and apply sustainable solutions to contribute to net zero and environmental strategies across the various stages of product and service delivery.
- Horizon scanning to identify new technologies that offer increased performance of data products.
- Implement personal strategies to keep up to date with new technology and ways of working.
- Collate, evaluate and refine user requirements to design the data product.
- Collate, evaluate and refine business requirements including cost, resourcing, and accessibility to design the data product.
- Design a data product to serve multiple needs and with scalability, efficiency, and security in mind.
- Automate data pipelines such as batch, real-time, on demand and other processes using programming languages and data integration platforms with graphical user interfaces.
- Produce and maintain technical documentation explaining the data product, that meets organisational, technical and non-technical user requirements, retaining critical information.
- Systematically clean, validate, and describe data at all stages of extract, transform, load (ETL).
- Work with different types of data stores, such as SQL, NoSQL, and distributed file system.
- Identify and troubleshoot issues with data processing pipelines.
- Query and manipulate data using tools and programming such as SQL and Python. Manage database access, and implement automated validation checks.
- Communicate downtime and issues with database access to stakeholders to mitigate the operational impact of unforeseen issues.
- Evaluate opportunities to extract value from existing data products through further development, considering costs, environmental impact and potential operational benefits.
- Maintain a working knowledge of data use cases within organisations.
- Use data systems securely to meet requirements and in line with organisational procedures and legislation.
- Identify new tools and technologies and recommend potential opportunities for use in own department or organisation.
- Optimise data ingestion processes by making use of appropriate data ingestion frameworks such as batch, streaming and on-demand.
- Develop algorithms and processes to extract structured data from unstructured sources.
- Apply and advocate for software development best practice when working with other data professionals throughout the business. Contribute to standards and ways of working that support software development principles.
- Develop simple forecasts and monitoring tools to anticipate or respond immediately to outages and incidents.
- Identify and escalate risks with suggested mitigation/resolutions as appropriate.
- Investigate and respond to incidents, identifying the root cause and resolution with internal and external stakeholders.
- Identify and remediate technical debt, assess for updates and obsolescence as part of continuous improvement.
- Develop, maintain collaborative relationships using adaptive business methodology with stakeholders such as, business users, data scientists, data analysts and business intelligence teams.
- Present, communicate, and disseminate messages about the data product, tailoring the message and medium to the needs of the audience.
- Evaluate the strengths and weaknesses of prototype data products and how these integrate within an organisation’s overarching data infrastructure.
- Assess and identify gaps in existing tools and technologies in respect of implementing changes required.
- Identify data quality metrics and track them to ensure the quality, accuracy and reliability of the data product.
- Selects and apply sustainable solutions to contribute to net zero and environmental strategies across the various stages of product and service delivery.
- Horizon scanning to identify new technologies that offer increased performance of data products.
- Implement personal strategies to keep up to date with new technology and ways of working.
Training schedule
The exact schedule to be confirmed with the successful applicant
Requirements
Essential qualifications
GCSE in:
Share if you have other relevant qualifications and industry experience. The apprenticeship can be adjusted to reflect what you already know.
Skills
- Communication skills
- IT skills
- Attention to detail
- Problem solving skills
- Analytical skills
- Creative
- Initiative
- Able to work collaboratively
- Strong interpersonal skills
- A positive can-do attitude
- Ability to follow instructions
- Ability to learn quickly
- Able to work to tight deadline
- Excellent time management
- Accuracy & Efficiency
- Delivery focused and pragmatic
- Awareness of industry/trends
- Familiarity/some exp. with SQL
- Design, build data pipelines
- Familiarity with Python
- Familiarity with Databricks
- Familiarity/some exp. with ADF
- Knowledge of data modelling
Other requirements
Entry Requirements- Essential
As a minimum for this apprenticeship applicants will need to have:
- A minimum of 720 hours of technology‑related work experience (IT, Software or Engineering)
OR
- An A‑Level in Computer Science or equivalent and have been in a technical role for three months or longer
OR
- A Level 3 or 4 Data/Computing/Engineering Apprenticeship
Entry Requirements - Desirable
- Is expected to have some prior level of experience in the data engineering field
About this employer
Chambers and Partners is the leading independent professional legal research company operating across 200 jurisdictions. We deliver detailed rankings and insight into the world's leading lawyers and law firms. Since our founding in 1990 we have dedicated ourselves to delivering detailed rankings and insights into the world's top lawyers, legal departments and law firms. Present and relied on in over 70 countries and 200 jurisdictions, our independent research led approach is recognised as the ranking that matters. During this time we have remained focussed on maintaining the highest standards possible. With an in-depth research methodology involving detailed interviews and analysis of capabilities, achievement and sector presence. All at the service of defining a ranking that remains as relevant and influential as when first released over 30 years ago.
https://chambers.com/ (opens in new tab)
Disability Confident
A fair proportion of interviews for this apprenticeship will be offered to applicants with a disability or long-term health condition. This includes non-visible disabilities and conditions.
You can choose to be considered for an interview under the Disability Confident scheme. You’ll need to meet the essential requirements to be considered for an interview.
After this apprenticeship
Typical job titles following the completion of this course:
- Data Engineer
Ask a question
The contact for this apprenticeship is:
BPP PROFESSIONAL EDUCATION LIMITED
The reference code for this apprenticeship is VAC2000025692.
Apply now
Closes in 14 days (Friday 24 April 2026)
After signing in, you’ll apply for this apprenticeship on the company's website.