Developing skills and capability as a Data Engineer
There’s never been a better time to develop your career as a Data Engineer. The global data engineering sector is experiencing significant growth, driven by the increase in data generation and the widespread adoption of AI and machine learning.
The global job market for Data Engineers is thriving, with job opportunites spannig diverse sectors such as finance, healthcare, technology, as well as retail, e-commerce, marketing, and government.
Here are some potential job roles you could pursue after completing this pathway:
The goal of a data engineer is to make data accessible to a wide variety of customers, so they can make informed data driven decisions and optimise the performance of their organisation.
A cloud data engineer is responsible for designing, building, and maintaining cloud-based systems for data storage, processing, and analysis. They ensure data is secure, accessible, and efficient by creating and managing data pipelines, implementing ETL processes, and automating workflows on cloud platforms.
A Big Data Engineer designs, builds, and maintains systems that collect, process, and manage large datasets for organizations. They transform raw data into usable information that data scientists and analysts can use to gain insights, create reports, and make informed business decisions.
We make sure we provide our students with the most relevant, industry standard content, which is why this course is made up of material accredited by the following education leaders.
The leading global IT trade association, CompTIA, gives the industry a unified voice and real leadership in the IT community. As a non-profit organisation, CompTIA offers a unique range of training courses that validate your IT skills without restricting you to individual product suites.
Microsoft Azure, commonly referred to as Azure, is a cloud computing service created by Microsoft for building, testing, deploying, and managing applications and services through Microsoft-managed data centers.
Amazon Web Services is a subsidiary of Amazon providing on-demand cloud computing platforms and APIs to individuals, companies, and governments, on a metered pay-as-you-go basis.
Our Data+ course will provide you with the skills, knowledge and confidence you need to make the transition, opening up new opportunities in your career.
A career in data analysis provides a rich variety of challenges and opportunities, as Data Analysts can engage in activities ranging from reporting and data visualisation to more advanced statistical analysis and predictive modelling.
Career advancement prospects are considerable, with the potential for experienced data analysts to assume managerial roles or specialise further in areas like business intelligence or data architecture. Pursuing a career in data analysis ensures continual learning and a pivotal role in shaping business strategies through data-driven insights. Data professionals are assuming ever greater influence and authority in modern businesses.
Study time: 40 hours
1 x 90-minute exam.
The Microsoft Certified: Azure Data Fundamentals DP-900 certification is an entry-level qualification offered by Microsoft.
Microsoft Azure is utilised globally, enabling companies to build, deploy and test applications. Demonstrate your value to an organisation by becoming familiar with Microsoft Azure and how it can facilitate the success of a business.
Study time: 20 hours
1x 120 minute exam featuring 40-60 multiple-choice questions.
The Microsoft Certified: Power BI Data Analyst Associate PL-300 demonstrates your competency and proficiency in preparing, modeling, visualizing, and analyzing data with Power BI.
Gaining the Microsoft Certified: Power BI Data Analyst Associate PL-300 certification will validate your expertise in using Power BI for data analysis and visualisation providing an exellent foundation for career progression.
Study time: 50 hours
1x 100 minute exam featuring multiple-choice and multiple-select questions.
The CompTIA DataX course and certification provides you with the essential skills to transform raw data into actionable business insights. By completing the course and passing the certification exam you'll learn to navigate various data environments, understand different data schemas, structures, and databases, both relational and non-relational.
Study time: 30 guided learning hours
1 x 165 minute exam, 90 questions.
AWS Certified AI Practitioner, is a course designed to provide a strong foundation in artificial intelligence (AI), machine learning (ML), and generative AI within the AWS Cloud ecosystem and is provided as standard with our tech career pathways*.
This certification validates your ability to understand AI concepts, identify practical business use cases, and leverage AWS services to build smarter, more efficient solutions without requiring a programming background.
By earning the AIF-C01 certification, you position yourself as a forward-thinking professional who can bridge the gap between technical teams and business strategy. You’ll gain the language, tools, and frameworks needed to guide AI initiatives, communicate with stakeholders, and ensure projects deliver measurable impact.
Course modules:
Study time: 10 learning hours
Exam: 1 x 90 minute exam, 65 multiple choice and multiple response questions
*content is made available once your first core pathway certification has been passed
Once you have worked through the core Data Analyst content in your pathway, you will find additional learning at the bottom of your playlist. This learning has been selected to enhance your knowledge and skills in data analytics.
Your pathway also includes our communications skills and critical thinking course. While technical skills are important, communication and critical thinking skills are often the distinguishing factor that sets successful businesses and professionals apart. They enable individuals to effectively navigate the complexities of the business world, build strong relationships, and drive innovation and growth.
