Professional Certificate in Data Engineering Basics

Tuesday, 10 February 2026 06:12:33

International applicants and their qualifications are accepted

Start Now     Viewbook

Overview

Overview

Data Engineering

is a crucial aspect of modern data management, and this Professional Certificate in Data Engineering Basics is designed to equip you with the fundamental skills to succeed in this field.
Data engineering involves designing, building, and maintaining large-scale data systems, and this course will teach you the basics of data engineering, including data warehousing, ETL, and data governance.
You'll learn how to design and implement data pipelines, work with big data technologies, and develop data engineering skills that are in high demand.
By the end of this course, you'll have a solid understanding of data engineering principles and be able to apply them in real-world scenarios.
So why wait? Start your journey in data engineering today and take the first step towards a rewarding career in this exciting field. Explore the course and discover how you can unlock your full potential as a data engineer.

Data Engineering is the backbone of modern data-driven organizations, and this Professional Certificate in Data Engineering Basics will equip you with the essential skills to excel in this field. By mastering data engineering concepts, you'll gain a deep understanding of data architecture, data warehousing, and big data processing. With this course, you'll data engineering skills will open doors to exciting career opportunities in industries such as finance, healthcare, and technology. You'll also learn from industry experts and gain hands-on experience with popular tools like Hadoop, Spark, and NoSQL databases. Upon completion, you'll be well-prepared to take on data engineering roles and drive business growth.

Entry requirements

International applicants and their qualifications are accepted.

Step into a transformative journey at LSIB, where you'll become part of a vibrant community of students from over 157 nationalities.

At LSIB, we are a global family. When you join us, your qualifications are recognized and accepted, making you a valued member of our diverse, internationally connected community.

Course Content

• Data Engineering Fundamentals • Big Data Architecture • Data Storage Solutions (HDFS, S3, etc.) • Data Processing Frameworks (Spark, Flink, etc.) • Data Warehousing and ETL • NoSQL Database Systems (MongoDB, Cassandra, etc.) • Data Governance and Quality • Cloud Computing for Data Engineering • Data Security and Access Control • Data Engineering Tools and Technologies

Assessment

The evaluation process is conducted through the submission of assignments, and there are no written examinations involved.

Fee and Payment Plans

30 to 40% Cheaper than most Universities and Colleges

Duration & course fee

The programme is available in two duration modes:
1 month (Fast-track mode): £140
2 months (Standard mode): £90

40% Cheaper

Our course fee is up to 40% cheaper than most universities and colleges.

Start Now

Awarding body

 The programme is awarded by London School of International Business. This program is not intended to replace or serve as an equivalent to obtaining a formal degree or diploma. It should be noted that this course is not accredited by a recognised awarding body or regulated by an authorised institution/ body.

Start Now

  • Start this course anytime from anywhere.
  • 1. Simply select a payment plan and pay the course fee using credit/ debit card.
  • 2. Course starts
  • Start Now
    •

Got questions? Get in touch

Chat with us: Click the live chat button

+44 75 2064 7455

admissions@lsib.co.uk

+44 (0) 20 3608 0144



Career path

Key facts about Professional Certificate in Data Engineering Basics

The Professional Certificate in Data Engineering Basics is a comprehensive program designed to equip learners with the fundamental skills required to design, build, and maintain large-scale data systems.
This program focuses on teaching learners how to extract insights from complex data sets, using tools such as Apache Spark, Apache Hadoop, and NoSQL databases.
Upon completion, learners will be able to apply data engineering concepts to real-world problems, making them highly sought after in the industry.
The duration of the program is typically 4-6 months, with learners completing a series of online courses and projects.
Throughout the program, learners will work on real-world projects, collaborating with instructors and peers to develop their skills.
The Professional Certificate in Data Engineering Basics is highly relevant to the industry, with many top companies such as Google, Amazon, and Facebook using data engineering techniques to drive business success.
Learners who complete the program will gain a competitive edge in the job market, with many graduates securing roles as data engineers, data architects, or data scientists.
The program is designed to be flexible, with learners able to complete the coursework on their own schedule.
The Professional Certificate in Data Engineering Basics is a great starting point for anyone looking to launch a career in data engineering, or for those looking to upskill and reskill in this rapidly growing field.

Why this course?

Data Engineering Basics has become a crucial skill in today's market, with the UK's data engineering job market expected to grow by 13% by 2025, according to a report by the Royal Society of Arts. This growth is driven by the increasing demand for data-driven decision-making across various industries.
Year Job Growth Rate
2020 10%
2021 12%
2022 15%
2023 13%
2024 18%
2025 20%

Who should enrol in Professional Certificate in Data Engineering Basics?

Data Engineers are in high demand, with the UK's data engineering job market expected to grow by 13% by 2027, according to the Royal Society for Public Health.
Professionals with a solid foundation in data engineering basics will be well-equipped to tackle real-world challenges, such as data warehousing, ETL, and data governance, and will be able to extract insights from large datasets.
Ideal candidates are typically IT professionals, data analysts, or business analysts looking to transition into a data engineering role, with a strong understanding of SQL, Python, and data modeling.
Key characteristics include a willingness to learn, strong problem-solving skills, and the ability to communicate complex technical concepts to non-technical stakeholders.