Data Engineer Degree Apprentice

Print Management Europe Ltd T/As PSE

DROITWICH (WR9 9AJ)

Closes on Friday 15 May 2026

Posted on 9 April 2026

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Summary

The purpose of this role is to architect, build, and maintain PSE’s data ecosystem on our enterprise cloud platform while completing a BSc (Hons) in Digital and Technology Solutions. This role balances high-stakes agency delivery with the systematic study of data analysis, software engineering, and organisational theory.

Wage

£26,000 a year

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Training course
Digital and technology solutions professional (level 6)
Hours
Monday- Friday Shifts to be confirmed

37 hours 30 minutes a week

Start date

Wednesday 1 July 2026

Duration

3 years 6 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

As your role as a a Data Engineer Degree Apprentice, your duties will include but are not limited to:

  • Proprietary Data Management: Maintain and systematically enhance the data feeds into PSE’s household-level mailing database. This includes managing data integration from open source data, CRM systems, third-party databases, and client-supplied files to ensure a high-integrity "single customer view"
  • Hybrid Delivery Model: Collaborate with and learn from established freelancers who will provide technical support and bridge the knowledge gap during the initial stages of the apprenticeship journey. This provides a live "mentoring" environment while you build the necessary internal competencies
  • Cloud Infrastructure & Security: Architect and implement data infrastructure within Google Cloud (GCP) and Python ecosystems
  • You will conduct regular security risk assessments for cloud services to identify and mitigate threats such as unauthorised access or weak authentication protocols
  • Data Modelling & Requirements: Identify organisational information requirements from stakeholders and use conceptual data modelling techniques to ensure system builds work for all business users
  • Advanced Analytics & Strategy: Utilise BigQuery and Looker Studio to visualise campaign performance. You will support the broader analytics strategy team, delivering insights that help specific teams across the business achieve their objectives
  • Software Engineering & Ethics: Apply engineering principles to all stages of the software development process, from requirements and design to data requirements and testing. You must strictly analyse the ethical and legal implications of digital solutions, particularly regarding personal data and AI
  • Project Governance: Follow a systematic methodology for initiating, planning, and controlling technology solutions projects using industry-standard processes and tools
  • Apprenticeship Commitment: Dedicate approximately 0.5 days per week to off-the-job training, including e-portfolio work, knowledge modules, and professional development coaching

Where you'll work

10 ROMAN WAY BUSINESS CENTRE
BERRY HILL INDUSTRIAL ESTATE
DROITWICH
WR9 9AJ

Training

Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.

Training provider

THE DEVELOPMENT MANAGER LTD

Training course

Digital and technology solutions professional (level 6)

Understanding apprenticeship levels (opens in new tab)

What you'll learn

Course contents
  • Analyse a business problem to identify the role of digital and technology solutions.
  • Identify risks, determine mitigation strategies and opportunities for improvement in a digital and technology solutions project.
  • Analyse a business problem in order to specify an appropriate digital and technology solution.
  • Initiate, design, code, test and debug a software component for a digital and technology solution.
  • Apply relevant standard processes, methods, techniques and tools. For example, ISO Standards, Waterfall, Agile in a digital and technology solution project.
  • Manage digital and technology solutions projects. For example, identifying and resolving deviations from specification, applying appropriate Project Management methodologies.
  • Work effectively within teams, leading on appropriate digital technology solution activities.
  • Apply relevant organisational theories. For example, change management principles, marketing approaches, strategic practice, and IT service management to a digital and technology solutions project.
  • Apply relevant security and resilience techniques to a digital and technology solution. For example, risk assessments, mitigation strategies.
  • Initiate, design, implement and debug a data product for a digital and technology solution.
  • Determine and use appropriate data analysis techniques. For example, Text, Statistical, Diagnostic or Predictive Analysis to assess a digital and technology solutions.
  • Plan, design and manage simple computer networks with an overall focus on the services and capabilities that network infrastructure solutions enable in an organisational context.
  • Report effectively to colleagues and stakeholders using the appropriate language and style, to meet the needs of the audience concerned.
  • Research, investigate, and evaluate innovative technologies or approaches in the development of a digital and technology solution.
  • Apply relevant legal, ethical, social and professional standards to a digital and technology solution.
  • Identify and define software engineering problems that are non-routine and incompletely specified.
  • Provide recommendations as to the most appropriate software engineering solution.
  • Use appropriate analysis methods, approaches and techniques in software engineering projects to deliver an outcome that meets requirements.
  • Implement software engineering projects using appropriate software engineering methods, approaches and techniques.
  • Respond to changing priorities and problems arising within software engineering projects by making revised recommendations, and adapting plans as necessary, to fit the scenario being investigated.
  • Determine, refine, adapt and use appropriate software engineering methods, approaches and techniques to evaluate software engineering project outcomes.
  • Evaluate learning points arising from software engineering work undertaken on a project including use of methods, analysis undertaken, selection of approach and the outcome achieved, in order to identify both lessons learnt and recommendations for improvements to future projects.
  • Extend and update software development knowledge with evidence from professional and academic sources by undertaking appropriate research to inform best practice and lead improvements in the organisation.
  • Analyse client needs and determine how to advise them strategically through improved business processes, new ideas, or technology solutions.
  • Effectively communicate value add to the client through a variety of media. For example, presentations, written reports, Storytelling in a professional setting through performing socio-technical process improvements in a range of environments.
  • Make evidence based recommendations taking into account risks, costs, and benefits.
  • Participate in walk-throughs for Information Technologies, to identify, document and evaluate key risks within a client’s organisation.
  • Perform stakeholder analysis to identify, determine and deepen understanding of system requirements and develop client relationships.
  • Effect change within an organisation through evaluation of a new system, process or initiative.
  • Ensure legal and ethical requirements are accommodated in the development of digital and technology solutions.
  • Evaluate the  success of new systems, processes, or initiatives.
  • Use requirements elicitation, analysis and documentation to produce an acceptable solution for business problems or further opportunities.
  • Conduct Process Analysis, Definition, Mapping and Modelling within a business situation without supervision.
  • Produce Use Cases which are of value to all stakeholders of a system.
  • Use tools and benchmarking to support modelling and requirements gathering and recommend approaches to team members as required.
  • Produce a business case to scope a proposed project including business benefits and recommendations.
  • Use products of analysis in the design and development of a system.
  • Evaluate the impacts of model selection and how they inter-relate with each other when generating business analytics.
  • Recommend and use appropriate software tools to implement Business Analysis tasks and outcomes.
  • Discover, identify and analyse security threats, attack techniques and vulnerabilities and recommend mitigation and security controls.
  • Undertake security risk assessments for complex systems without direct supervision and propose a remediation strategy relevant to the context of the organisation.
  • Recommend improvements to the cyber security approaches of an organisation based on research into future potential cyber threats and considering threat trends.
  • Manage cyber security risk.
  • Use appropriate cyber security technology, tools and techniques in relation to the risks identified.
  • Lead cyber security awareness campaigns and evaluate their effectiveness.
  • Analyse cyber security requirements against other design requirements for systems or products, identify conflicting requirements and recommend appropriate solutions with clear explanation of costs and benefits.
  • Lead the design and build of systems in accordance with a security case to address organisational challenges.
  • Define Data Requirements and perform Data Collection, Data Processing and Data Cleansing.
  • Apply different types of Data Analysis, as appropriate, to drive improvements for specific business problems.
  • Find, present, communicate and disseminate data analysis outputs effectively and with high impact through creative storytelling, tailoring the message for the audience. Visualise data to tell compelling and actionable narratives by using the best medium for each audience, such as charts, graphs and dashboards.
  • Identify barriers to effective analysis encountered both by analysts and their stakeholders within data analysis projects.
  • Apply a range of techniques for analysing quantitative data such as data mining, time series forecasting, algorithms, statistics and modelling techniques to identify and predict trends and patterns in data.
  • Apply exploratory or confirmatory approaches to analysing data. Validate and and test stability of the results.
  • Extract data from a range of sources. For example, databases, web services, open data.
  • Analyse in detail large data sets, using a range of industry standard tools and data analysis methods.
  • Identify and collate stakeholder needs in relation to computer network requirements, plans and designs.
  • Plan, design, document, and develop the relevant elements of a computer network within an organisation or between organisations, taking into account customer requirements (performance, scale), constraints (budget, equipment availability), and define policies for their use.
  • Monitor performance and ensure networks are configured correctly and perform as expected by designers or architects. Undertake capacity management and audit of IP addressing and hosted devices.
  • Investigate, troubleshoot and resolve data network faults in local and wide area environments, using information from multiple sources, Physically or Remotely by console connection. Recommend and implement short term fixes to restore service and, or, quality of experience and recommend longer term changes to prevent recurrence or reduce impact of future occurrences.
  • Implement computer networks from a design including testing and validation. This includes populating variables in configurations, for example, IP addresses and subsequent application of configuration to equipment such as routers, switches, firewalls.
  • Secure network systems by establishing and enforcing policies, and defining and monitoring access. Support and administer firewall environments in line with IT security policy.
  • Research and evaluate emerging network technologies and assess relevance to current network requirements. Provide an objective opinion on how new features and technologies may be incorporated as required by the organisation.
  • Investigate security concerns or attacks. For example, Distributed Denial of Service (DDOS), port scanning, assessing key metrics and indicators, evidencing the chosen steps to mitigate.
  • Analyse a business problem to identify the role of digital and technology solutions.
  • Identify risks, determine mitigation strategies and opportunities for improvement in a digital and technology solutions project.
  • Analyse a business problem in order to specify an appropriate digital and technology solution.
  • Initiate, design, code, test and debug a software component for a digital and technology solution.
  • Apply relevant standard processes, methods, techniques and tools. For example, ISO Standards, Waterfall, Agile in a digital and technology solution project.
  • Manage digital and technology solutions projects. For example, identifying and resolving deviations from specification, applying appropriate Project Management methodologies.
  • Work effectively within teams, leading on appropriate digital technology solution activities.
  • Apply relevant organisational theories. For example, change management principles, marketing approaches, strategic practice, and IT service management to a digital and technology solutions project.
  • Apply relevant security and resilience techniques to a digital and technology solution. For example, risk assessments, mitigation strategies.
  • Initiate, design, implement and debug a data product for a digital and technology solution.
  • Determine and use appropriate data analysis techniques. For example, Text, Statistical, Diagnostic or Predictive Analysis to assess a digital and technology solutions.
  • Plan, design and manage simple computer networks with an overall focus on the services and capabilities that network infrastructure solutions enable in an organisational context.
  • Report effectively to colleagues and stakeholders using the appropriate language and style, to meet the needs of the audience concerned.
  • Research, investigate, and evaluate innovative technologies or approaches in the development of a digital and technology solution.
  • Apply relevant legal, ethical, social and professional standards to a digital and technology solution.

Training schedule

  • Level 6 Digital and Technology Solutions Professional Degree Apprenticeship (Degree with Honours)
  • The successful candidate will undertake a 42 Month, nationally recognised Degree Apprenticeship
  • This is a work-based learning programme which will require commitment to block weeks in an online training room once every quarter working towards the qualification along with weekly off the job training and monthly coaching sessions
  • You will be required to demonstrate through the standard that you meet all competencies and behaviours, which will lead to the achievement of the programme
  • You will have a designated mentor in the workplace to support your learning and at the end of programme will be assessed via an external assessment body
  • This is a Level 6 Degree Apprenticeship 

Requirements

Essential qualifications

GCSE in:

  • English (grade 4)
  • Maths (grade 4)

A Level in:

Maths (grade c)

Share if you have other relevant qualifications and industry experience. The apprenticeship can be adjusted to reflect what you already know.

Skills

  • IT skills
  • Attention to detail
  • Organisation skills
  • Problem solving skills
  • Analytical skills
  • Logical
  • Team working
  • Initiative

Other requirements

Essential Qualifications:

A-Levels: Three A-Levels at CCC or above, including Mathematics and a STEM subject.
GCSEs: Minimum of five GCSEs at Grade 5/C or above, including Mathematics and English Language.

Operational Technical Experience:

Operational proficiency in Google Cloud Platform (GCP) for basic data storage and environment management.
Practical experience with BigQuery for querying and manipulating large datasets.
Familiarity with Looker Studio (or similar BI tools) to create comprehensive campaign performance reports.

Core Competencies:

Strong numerical and logical skills with a high degree of manual dexterity and attention to detail.
Ability to communicate complex data insights to non-technical stakeholders.

Generic company attributes

Meticulous attention to detail and ability to manage multiple workstreams.
Passion and energy for direct marketing and data-driven decision-making.
Strong self-awareness, communication, and interpersonal skills.
Resourceful, creative, and thrives on positive change.

About this employer

PSE is an award‑winning direct marketing agency that helps brands unlock growth through smart, data‑led direct mail and print campaigns. Founded in 1995, we work with some of the UK’s fastest‑growing brands to deliver insight‑driven marketing that drives measurable results, from customer acquisition and retention to cost efficiency and performance improvement. With expertise spanning campaign strategy, creative, print production, fulfilment and analysis, PSE is known for making print work harder and delivering campaigns that convert

https://www.pse.agency (opens in new tab)

Disability Confident

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

  • On successful completion, you’ll achieve a full honours degree and gain significant realworld experience as a Data Engineer, with strong progression opportunities within PSE’s data and technology teams

Ask a question

The contact for this apprenticeship is:

THE DEVELOPMENT MANAGER LTD

The reference code for this apprenticeship is VAC2000025305.

Apply now

Closes on Friday 15 May 2026

After signing in, you’ll apply for this apprenticeship on the company's website.