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Data Engineering Package

The average data engineer salary is £52,000 to £85,000

About the

DP-900, DP-203
24 months to complete
4 Courses, with 2 exams.
6 days of classroom learning / online blended solution

Our Data Engineering Package is ideal for anyone eager to attain three Internationally Recognised Certifications that will significantly boost their career in data engineering. These certifications are a testament to your skills and knowledge in data management and analysis, highly valued in today’s data-driven world. They are structured to be completed sequentially, each building upon the knowledge of the previous one.

This course is meticulously crafted for individuals with limited experience in data-related fields, allowing you to embark on your journey from the basics and progress to more advanced concepts in data engineering.

The training consists of three professional certifications, each highly sought after by employers and pivotal for a flourishing career in data engineering. The certifications included in this package are:

  • Querying SQL Server
  • Database Design
  • Introduction to Python
  • Microsoft DP-900 (Microsoft Azure Data Fundamentals) (2 day classroom)
  • Microsoft DP-203 (Data Engineering on Microsoft Azure) (4 day classroom)
Do I need prior experience or knowledge in Data Engineering or IT?

There are no prerequisites for our Beginner Data Engineering course. This course is structured to take you from a beginner to an expert level, with no prior knowledge required.

You do not need any background in Data Engineering, IT, or related courses. If you are completely new to this industry, and to advanced computer and technology usage, there's no cause for concern.

However, possessing basic skills in using a PC as an end-user can be advantageous.

Job Roles

Upon completing our Beginner Data Engineering course, you will be qualified for various roles in this rapidly growing field.

Data Engineering skills are increasingly in demand across a wide range of industries, as more organisations recognise the importance of data-driven decision-making.

Potential roles you could embark on include: Data Analyst, Database Administrator, Python Developer, Junior Data Engineer, Business Intelligence Analyst, Data Visualisation Specialist, Machine Learning Engineer, and more.

How do you get started?

Our Data Engineering Training course is meticulously designed to provide you with the knowledge and certifications needed to begin your professional journey in data engineering. No previous experience in IT is necessary, and we specialise in guiding individuals from a beginner to an expert level.

In addition to gaining industry-recognised certifications, our unique recruitment advice service will assist you in securing your first job. This includes optimising your CV and LinkedIn profile, interview techniques, and arranging job interviews in your locality.

What is the Average Salary for Data Engineering Jobs?

Salaries in the field of Data Engineering can vary based on your role and location. In this rapidly evolving sector, the potential for salary growth is substantial, with clear career advancement paths.

For example, a Data Engineer can typically expect to earn an average of around £57,000 per annum, whilst more advanced roles like Senior Data Engineer or Data Architect may offer higher salaries. Freelance or consultancy roles also provide competitive daily rates, reflecting the high demand for these skills.

The earning potential in Data Engineering is significant, and our Beginner Data Engineering course is your stepping stone to this exciting and rewarding career.

Benefits at a Glance

Why choose Robust IT?

  • Inclusive Learning and Growth: Robust IT offers a broad spectrum of courses to a diverse student base. We're constantly expanding to provide enhanced learning opportunities for all.
  • Accessibility at Our Core: We're committed to making IT education accessible, regardless of one's background or financial situation.
  • Reputed Partnerships: As Microsoft Gold Partners and collaborators with CompTIA, NCSC, and a Pearson Vue testing centre, we ensure our courses meet the highest industry standards.
  • Expert UK-Based Team: Our certified trainers and support staff, based in the UK, bring extensive experience to help students of all levels.
  • Flexible Training Options: Learn at your own pace and budget, either at our centres in London, Essex, Birmingham, and Manchester, or through our accessible online courses.
  • Industry-Recognised Certification: Successfully passing your exams earns you official certifications, preparing you for a promising IT career.
  • End-to-End Career Support: With comprehensive career guidance, from CV optimization to job placement, our Recruitment team ensures a seamless entry into the IT industry.
Average salary for Data Engineering Professionals


Avg. Base Salary (GBP).

Job Roles

  • Junior Data Engineer
  • Data Analyst
  • Database Administrator
  • Python Developer
  • Business Intelligence Analyst
  • Data Engineer
  • Machine Learning Engineer
  • Senior Data Engineer
  • Chief Data Officer (CDO)
  • Data Science Manager
What's included?

Course package details

This course is meticulously designed for those aiming to master the art of designing high-performance databases using SQL Server. It's perfect for individuals looking to gain a comprehensive understanding of database architecture and the practical tools necessary for creating all essential database objects.

Course Highlights:

  • Comprehensive Coverage of Database Elements: Delve into tables, data integrity, and indexes, and explore basic programming, file storage, and full-text searching.
  • Focus on Performance: Learn the intricacies of creating useful indexes in both OLTP (Online Transaction Processing) and OLAP (Online Analytical Processing) databases.
  • Data Consistency and Quality: Understand the enforcement of relationships and constraints to maintain consistent data quality in your database.
  • Advanced Database Functionality: Gain insights into stored procedures, functions, and triggers, and learn how to write T-SQL code to generate them.
  • Practical Tools and Techniques: Utilize SQL Management Studio to perform various operations, leveraging visual tools wherever possible.
  • End-to-End Database Creation: By the end of the course, you'll be equipped to create a fully functional business database, tailored to real-world applications.

Course Prerequisites:

  • Basic knowledge of the Microsoft Windows operating system.
  • Working knowledge of Transact-SQL.
  • Familiarity with the principles of relational databases.

This exam measures your ability to describe the following concepts: cloud concepts; core Azure services; core solutions and management tools on Azure; general security and network security features; identity, governance, privacy, and compliance features; and Azure cost management and Service Level Agreements.

Learning Outcomes:

Upon completion of the course, you will be able to:

  • Design and implement tables effectively.
  • Ensure data integrity through various constraints.
  • Understand and create optimized and columnstore indexes.
  • Design and implement stored procedures and user-defined functions.
  • Utilize triggers to respond to data manipulation effectively.
  • Efficiently store and query blobs and text documents.

This course offers a solid foundation for anyone looking to dive deep into database architecture and management, providing the skills and knowledge necessary to build and maintain robust databases.

This course offers an in-depth exploration of Python, one of the most versatile and widely-used programming languages today. Known for its straightforward syntax and open-source availability, Python is an ideal language for both beginners and experienced programmers. Its utility spans across numerous fields, including data science, machine learning, web development, and more.

Key Highlights of the Course:

  • Python's Open-Source Nature: Understand how Python's OSI-approved license makes it freely usable and distributable, even for commercial purposes.
  • General-Purpose Language: Grasp how Python's design as a general-purpose language makes it suitable for a wide range of applications.
  • Popularity in Various Domains: Learn why Python is favoured in data science and machine learning, and why it's increasingly taught in universities.
  • Cross-Platform Availability: Discover Python's flexibility across different operating systems like Linux, macOS, Windows, Android, iOS, and BSD.
  • Beginner-Friendly Syntax: Appreciate Python's simple syntax which is ideal for first-time programmers, providing a gentler learning curve compared to other languages like Java or C/C++.
  • Versatility in Programming Concepts: Explore how Python supports various programming paradigms, including object-oriented and functional programming.

Applications of Python:

  • Web Development: Dive into frameworks like Django, Flask, and Pylons.
  • Data Science and Visualization: Utilize libraries like NumPy, Pandas, and Matplotlib.
  • Machine Learning: Get hands-on with TensorFlow and Scikit-learn.
  • Desktop Applications: Create applications using PyQt, Gtk, wxWidgets, and more.
  • Mobile Applications: Develop on mobile platforms using Kivy or BeeWare.
  • Educational Tool: Understand why Python is an excellent language for learning programming fundamentals.

This course is designed to provide a comprehensive understanding of Python, covering its fundamental concepts and practical applications. Whether you're interested in web development, data analysis, machine learning, or simply looking to learn programming, this course offers the essential skills and knowledge to get started with Python.

Candidates for the DP-900 exam should possess foundational knowledge of core data concepts and how they are implemented using Microsoft Azure data services. This exam is ideal for those starting to work with data in the cloud or are new to Azure.

The Azure Data Fundamentals exam is a chance to demonstrate understanding of data concepts in the cloud, Azure data services, data processing, and storage in Azure, along with data security and privacy. Candidates should be familiar with basic technology concepts related to database concepts, data processing, and data storage.

This exam is a stepping stone for further Azure role-based or specialty certifications in data and analytics but is not a prerequisite for advanced certifications.

Exam content includes:

  • Describe core data concepts (15-20%)
  • Explain how to work with relational data on Azure (25-30%)
  • Describe how to work with non-relational data on Azure (25-30%)
  • Describe an analytics workload on Azure (25-30%)

The DP-900 exam assesses your ability to understand core data concepts, work with both relational and non-relational data on Azure, and describe an analytics workload in the Azure environment.

Candidates for the DP-203 exam should have substantial knowledge of data engineering techniques and practices on Microsoft Azure. This exam is targeted at data professionals who design and implement the management, monitoring, security, and privacy of data using the full stack of Azure data services.

The Data Engineering on Microsoft Azure exam validates expertise in integrating, transforming, and consolidating data from various structured and unstructured data systems into structures suitable for building analytics solutions.

Candidates are expected to be familiar with Azure services for data engineering, such as Azure Synapse Analytics, Azure Data Lake, Azure Data Factory, and Azure Stream Analytics.

Exam content includes:

  • Design and implement data storage (40-45%)
  • Design and develop data processing (25-30%)
  • Design and implement data security and compliance (10-15%)
  • Monitor and optimize data storage and data processing (10-15%)

The DP-203 exam measures your skills in implementing data solutions on Azure, focusing on data storage, data processing, data security, and ensuring the optimal performance of data systems.

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