Our Level 5 Data Engineer apprenticeship develops strategic, business-minded engineers. Participants gain hands-on experience with cloud infrastructure, automation, data pipelines, and GenAI – aligning work with broader organisational goals.
Download our full Data Engineer programme outline. Including:
Data Engineers play a vital role in shaping how data is collected, structured, and delivered – laying the groundwork for advanced analytics, AI integration, and data-driven decision-making across the business.
Designed to go beyond traditional data training, our programme empowers engineers to drive strategic business outcomes, not just manage infrastructure. Through a blend of core data engineering principles, modern data platforms, and emerging AI capabilities, learners gain the skills to deliver timely, trusted data for real-time analytics, scalable insights, and cross-functional decision-making, supporting smarter operations and sustainable business growth.
Apprentices can further specialise through an optional Expert Module that prepares them for the Microsoft Fabric Data Engineer certification, enabling your organisation to build certified expertise and accelerate the impact of modern data platforms.
Download Programme Outline
Download our full Data Engineer programme outline. Including:
Having clean, well-structured data from the outset is essential, and Data Engineers play a critical role at the very start of the data lifecycle. They shape how data flows through a business, laying the foundations for accurate analysis, automation, and AI.
Our Level 5 Data Engineer apprenticeship programme is designed for individuals ready to take on this responsibility — building, maintaining, and optimising the systems that turn raw data into reliable business assets. It’s a perfect fit for those working in data, IT, software, or technical roles who want to step into a more specialised Engineering position.
Participants will require a foundational understanding of coding and data concepts, such as experience with SQL, Python, or cloud platforms, and the ambition to grow into a technical data role.
As part of our Be-Spoke initiative, you can choose an Expert module designed to deepen your learner’s technical specialism.
Apprentices can further specialise through an optional Expert Module that prepares them for the Microsoft Fabric Data Engineer certification. This enables learners to build advanced capabilities in modern data engineering using Microsoft’s unified data platform.
By developing certified skills within your organisation, businesses can strengthen in-house data engineering expertise, improve data infrastructure, and embed best practices across data operations.
At Baltic, we believe AI isn’t optional – it’s an essential workplace skill. That’s why every apprentice, regardless of role or programme, completes our AI Accelerator as part of their apprenticeship.
Designed to build practical AI literacy and advanced prompt engineering skills, the AI Accelerator empowers learners to use generative AI tools confidently, ethically, and effectively in real workplace scenarios. From day one, apprentices apply AI to everyday tasks, boosting efficiency, productivity, and decision-making across any function.
By the end of the programme, learners don’t just understand AI – they know how to use it responsibly to solve real business challenges, drive innovation, and add value. For employers, this means a future-ready workforce, and for learners, a competitive edge in any role.
There is a range of government funding and local authority grant schemes available, which are designed to help you train the next wave of talent or invest in your team’s professional development.
Large organisations with an annual salary bill over £3 million are required to contribute to the Apprenticeship Levy. The Apprenticeship Levy is a dedicated apprenticeship fund, which employers can use to cover the costs of apprenticeship training and assessment.
For SMEs & Microbusinesses that do not pay into the Apprenticeship Levy, the Government will fund 100% of apprenticeship training and assessment costs for apprentices aged 16 – 21 and 95% for apprentices aged 22 and over.
To enrich the programme further, our Expert Module enables learners to deepen their technical expertise through advanced, role-relevant training. This module prepares apprentices for the Microsoft Fabric Data Engineer certification, equipping them with the skills to design, build, and manage modern data solutions using Microsoft Fabric’s unified data platform.
This certification equips learners with the skills to design, implement, and manage data storage and processing solutions using Microsoft Fabric. Participants gain hands-on experience with tools such as OneLake, Lakehouses, Warehouses, Data Pipelines, and Notebooks – enabling them to deliver scalable, secure, and high-performance data solutions that support real-time analytics and evolving business needs.
Training is delivered entirely online through a blended learning model, combining self-led study with live, coach-led sessions.
This introductory module introduces the programme structure, the role of a data engineer, and the importance of regulatory compliance and governance. Through interactive activities, learners explore key regulations like GDPR, foundational data governance principles, and best practices for ethically managing and safeguarding data.
This module explores core data engineering concepts, with a focus on designing and optimising ETL, ELT, batch, and streaming pipelines using tools like Azure and GCP. Apprentices gain hands-on experience building scalable, efficient data systems.
This module explores key data quality principles, focusing on issue detection, performance assessment, and assurance. Learners apply AI-driven cleaning, synthetic data, and case studies to ensure accurate, reliable data in complex systems.
We equip apprentices to assess, integrate, and maintain scalable data storage solutions. Through hands-on design tasks, they explore cloud, distributed, and legacy systems, creating secure, cost-effective architectures that meet user and compliance needs.
This module strengthens skills for managing data projects across teams, focusing on version control, governance, automation, and clear communication. Learners use Generative AI to prototype solutions and deliver insights in agile, user-focused settings.
We teach how to deploy data products across on-premises, cloud, and hybrid setups. Learners gain hands-on experience with CI/CD, scalability, security, and post-deployment monitoring to support continuous improvement and deliver reliable, user-ready solutions.
This module covers core SQL for data management, focusing on complex queries, transformation, and optimisation. Learners build practical skills through hands-on labs and explore how Generative AI can enhance query writing, data quality, and performance.
This advanced module covers NoSQL technologies – document, key-value, column, and graph databases. Learners apply modelling and optimisation techniques, integrate with traditional systems, and use tools like Kafka, Spark, and Generative AI for schema design and hybrid architecture planning.
This module applies core apprenticeship skills in real-world scenarios, covering processing types, legacy integration, deployment, and recovery. Learners build operational resilience, prototype solutions, and document decisions using industry tools and reflective practices.
James Paget NHS Trust places a strong emphasis on the effective use of data to support high-quality patient care and operational excellence. Through Data apprenticeships, the Trust has:
SAVED £500 PER MONTH
Routine tasks like the weekly SUS data pull are now handled by apprentices. One apprentice saved the Trust £500 a month by taking ownership of a single reporting task.
MADE SMARTER DECISIONS
By streamlining data access and reporting, apprentices have improved clinical care, eased pressure on staff, and contributed to the NHS’s long-term digital transformation goals.
INCREASED OUTPUT
By automating reports, handling ad-hoc data requests, and supporting data cleansing, apprentices have boosted the Trust’s capacity without the need for additional senior hires.
Our Level 5 Data Engineer apprenticeship is uniquely designed to develop both technical skills and strategic thinking. Apprentices are trained not only in the practical skills of data infrastructure — cloud environments, automation, and ETL — but also in how these tools drive broader business outcomes.
Apprentices won’t just learn how to build pipelines or manage infrastructure – they’ll be trained to understand the why behind the work. By aligning technical tasks with wider business objectives, they’ll develop the soft skills and commercial awareness needed to contribute meaningful value across the organisation.
Use structured databases (SQL) and scalable cloud storage solutions such as Microsoft Fabric Lakehouse and Azure Data Services to manage large volumes of data.
Build and orchestrate data pipelines using Microsoft Fabric Data Factory, Azure Data Factory, and Azure Databricks, alongside core languages like Python and SQL and frameworks such as Apache Spark.
Work within Microsoft cloud environments including Microsoft Fabric and Azure to develop scalable, enterprise-grade data solutions.
Apply secure data access and governance using Azure security controls, including role-based access control (RBAC) and encryption.
Create dashboards and reports using Power BI to transform data into actionable insights.
Use tools such as Git, VS Code, and Jupyter Notebooks to support development, collaboration, and version control.
Complete the form and a member of our team will be in touch in the next 48 hours.
At Baltic Apprenticeships, we believe apprenticeships are the most powerful tool for skills development. Since 2007, we’ve been dedicated to delivering high-quality, tech-driven training to aspiring professionals across England – and we were the first provider to go fully digital.
As an Ofsted Outstanding and award-winning training provider, we specialise in Data, IT, Digital Marketing, Software Development, and Sustainability programmes. Our innovative, fully online approach gives learners the flexibility to study from anywhere, while allowing employers to develop talent with minimal disruption.
We combine technology with a human touch – everything we do is built on a foundation of complete care. Through our pioneering Be-Spoke model, each programme includes core learning, industry-relevant certifications, and modules aligned to an organisation’s unique sector-specific needs.
Learn MoreOur Level 3 Data & Business Insights apprenticeship builds the skills needed to unlock data capabilities and spark digital transformation. By the end of this course, apprentices will have the confidence to make data-driven decisions.
Our Level 3 IT Support apprenticeship creates expert IT Technicians with exceptional problem-solving skills. Apprentices will learn to optimise systems, configure devices, and provide outstanding customer service.
Our Level 3 Multi-Channel Marketer apprenticeship empowers learners to create platform-specific strategies, campaigns, and content, designed to increase brand awareness and drive revenue.
Our Level 4 Sustainability for Business Impact apprenticeship is designed for Sustainability Managers and Business Leaders, providing an ROI-focused training solution to embed sustainable practices into operations that deliver immediate business impact.
Our Level 4 Data Analyst apprenticeship teaches people to convert organisational data into powerful insights and stories. Apprentices will learn to extract meaning from the data at their disposal, informing strategic business decisions.
Our Level 4 AI & Digital Champion programme develops internal leaders who can embed data-driven decision-making, support technology adoption, and build confidence with automation and AI tools.
Our Level 4 CompTIA Network Engineer apprenticeship bridges the gap between network support and network management. We ensure our learners can support advanced networks and implement best industry practices to keep systems optimised for peak performance.
Our Level 4 Marketing Executive apprenticeship equips marketers with a deeper understanding of marketing approaches and strategy. We teach people how to plan and execute tactical and targeted marketing activities that lead to conversions.
Our Level 4 Software Developer apprenticeship is the solution for people looking for the next step in their software career. Building on existing knowledge, we teach advanced project management skills & development practices, creating future leaders.
Our Level 5 Data Engineer apprenticeship develops strategic, business-minded engineers. Participants gain hands-on experience with cloud infrastructure, automation, data pipelines, and GenAI – aligning work with broader organisational goals.
If you’re technically minded and ready to move beyond working with data to designing how it flows, scales, and supports intelligent systems, this programme is for you.
As a Data Engineer, you’ll sit at the very start of the data pipeline — shaping how data is collected, structured, and delivered across the business. Your work will enable smarter decisions and faster processes by ensuring data is available, accurate, and ready for use across teams.
Our Level 5 Data Engineer apprenticeship gives you the skills to build modern data infrastructure from the ground up. You’ll learn how to design, automate, and optimise data pipelines using tools like Python and SQL, use generative AI to enhance your role, and gain hands-on experience building data solutions using Microsoft Fabric and modern data platforms.
This Level 5 programme is designed for those who are ready to shape how data flows and functions across a business. It’s not an entry-level programme, but a focused route for those ready to specialise and make a real impact through data infrastructure and engineering.
To be eligble, we require candidates to hold a minimum Grade B (or equivalent) in GCSE English and Maths, as these skills are essential for the analytical and technical demands of the programme.
Due to the technical depth of the curriculum, you’ll also need a foundational understanding of data fundamentals and familiarity with tools like Python, SQL, or cloud platforms.
As part of the programme, you have the opportunity to complete an optional Expert Module that prepares you for the Microsoft Fabric Data Engineer certification. This ensures your training aligns with the modern data platforms and tools used in today’s data engineering roles.
This certification helps you build advanced skills in designing, building, and managing data solutions using Microsoft Fabric’s unified data platform. Achieving an industry-recognised certification also strengthens your technical credibility and demonstrates your ability to work with modern data infrastructure.
Whether you’re building on existing knowledge or preparing for more advanced responsibilities, this certification supports your progression into more senior data engineering roles and helps you deliver greater impact within your organisation.
At Baltic, we believe AI isn’t optional – it’s an essential workplace skill. That’s why every apprentice, regardless of role or programme, completes our AI Accelerator as part of their apprenticeship.
Designed to build practical AI literacy and advanced prompt engineering skills, the AI Accelerator empowers learners to use generative AI tools confidently, ethically, and effectively in real workplace scenarios. From day one, apprentices apply AI to everyday tasks, boosting efficiency, productivity, and decision-making across any function.
By the end of the programme, learners don’t just understand AI – they know how to use it responsibly to solve real business challenges, drive innovation, and add value. For employers, this means a future-ready workforce, and for learners, a competitive edge in any role.
To enrich the programme further, you have the opportunity to complete an optional Expert Module that prepares you for the Microsoft Fabric Data Engineer certification. This module helps you build advanced skills in designing and managing modern data solutions using Microsoft Fabric.
You will gain hands-on experience working with tools such as OneLake, Lakehouses, Warehouses, Data Pipelines, and Notebooks. By the end of the module, you will be able to design and manage scalable, secure data solutions that support real-time analytics and evolving business needs.
Training is delivered entirely online through a blended learning model, combining self-led study with live, coach-led sessions.
This introductory module introduces the programme structure, the role of a data engineer, and the importance of regulatory compliance and governance. Through interactive activities, you will explore key regulations like GDPR, foundational data governance principles, and best practices for ethically managing and safeguarding data.
This module explores core data engineering concepts, with a focus on designing and optimising ETL, ELT, batch, and streaming pipelines using tools like Azure, AWS, and GCP. You will gain hands-on experience building scalable, efficient data systems.
This module explores key data quality principles, focusing on issue detection, performance assessment, and assurance. You will apply AI-driven cleaning, synthetic data, and case studies to ensure accurate, reliable data in complex systems.
We equip apprentices to assess, integrate, and maintain scalable data storage solutions. Through hands-on design tasks, they explore cloud, distributed, and legacy systems, creating secure, cost-effective architectures that meet user and compliance needs.
This module strengthens skills for managing data projects across teams, focusing on version control, governance, automation, and clear communication. You will use Generative AI to prototype solutions and deliver insights in agile, user-focused settings.
We teach how to deploy data products across on-premises, cloud, and hybrid setups. You will gain hands-on experience with CI/CD, scalability, security, and post-deployment monitoring to support continuous improvement and deliver reliable, user-ready solutions.
This module covers core SQL for data management, focusing on complex queries, transformation, and optimisation. You will build practical skills through hands-on labs and explore how Generative AI can enhance query writing, data quality, and performance.
This advanced module covers NoSQL technologies – document, key-value, column, and graph databases. You will apply modelling and optimisation techniques, integrate with traditional systems, and use tools like Kafka, Spark, and Generative AI for schema design and hybrid architecture planning.
This module applies core apprenticeship skills in real-world scenarios, covering processing types, legacy integration, deployment, and recovery. You will build operational resilience, prototype solutions, and document decisions using industry tools and reflective practices.
Use structured databases (SQL) and scalable cloud storage solutions such as Microsoft Fabric Lakehouse and Azure Data Services to manage large volumes of data.
Build and orchestrate data pipelines using Microsoft Fabric Data Factory, Azure Data Factory, and Azure Databricks, alongside core languages like Python and SQL and frameworks such as Apache Spark.
Work within Microsoft cloud environments including Microsoft Fabric and Azure to develop scalable, enterprise-grade data solutions.
Apply secure data access and governance using Azure security controls, including role-based access control (RBAC) and encryption.
Create dashboards and reports using Power BI to transform data into actionable insights.
Use tools such as Git, VS Code, and Jupyter Notebooks to support development, collaboration, and version control.
Everything we do is built with our learners in mind. To ensure our learners receive the appropriate level of coaching and overall support, each learner has a designated coach that will support them throughout the entirety of their apprenticeship.
Our approach is designed to empower our learners to achieve their full potential, and we take great pride in offering personalised and comprehensive support. We understand that each individual has unique learning needs, goals, and challenges, and we strive to provide tailored support to help our apprentices succeed in their apprenticeship journey.
Working alongside our coaches, we have a dedicated Safeguarding Team. Their main responsibilities are to keep each of our learners safe and protect them from physical abuse, emotional abuse, domestic abuse, cyberbullying, radicalisation, among other safeguarding concerns, and provide physical and mental health support and advice.
Access our Support Centre
