Advanced Certificate in DevOps for Data Engineering

Monday, 25 August 2025 05:44:48

International applicants and their qualifications are accepted

Start Now     Viewbook

Overview

Overview

```html

Advanced Certificate in DevOps for Data Engineering equips data engineers with crucial DevOps skills.


This program bridges the gap between data engineering and DevOps practices.


Learn CI/CD pipelines, infrastructure as code (IaC), and automation.


Master tools like Docker, Kubernetes, and cloud platforms (AWS, Azure, GCP).


Data Engineering DevOps best practices are emphasized throughout the course.


Ideal for experienced data engineers seeking career advancement.


Enhance your resume and become a highly sought-after professional.


Advanced Certificate in DevOps for Data Engineering: transform your career.


Explore the curriculum and enroll today!

```

DevOps for Data Engineering: This advanced certificate program accelerates your career by mastering cloud computing and automation skills essential for modern data pipelines. Gain hands-on experience with CI/CD, infrastructure as code (IaC), and containerization technologies like Docker and Kubernetes. Boost your salary and open doors to high-demand roles as Data DevOps Engineer, Cloud Data Engineer, or Data Pipeline Architect. Our unique curriculum blends theoretical knowledge with practical projects, ensuring you are job-ready upon completion. This DevOps certification differentiates you in a competitive market, maximizing your career potential. Become a sought-after data engineering expert with our comprehensive DevOps program.

Entry requirements

The program operates on an open enrollment basis, and there are no specific entry requirements. Individuals with a genuine interest in the subject matter are welcome to participate.

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

• DevOps Fundamentals for Data Engineers
• Infrastructure as Code (IaC) for Data Pipelines
• CI/CD for Data Engineering using GitLab/Jenkins/Azure DevOps
• Containerization and Orchestration (Docker, Kubernetes) for Data Science workloads
• Data Security and Compliance in a DevOps Environment
• Monitoring and Alerting for Data Engineering Systems
• Cloud-based Data Engineering with DevOps (AWS/Azure/GCP)
• Data Lake and Data Warehouse Management using DevOps Principles
• Advanced DevOps practices for Big Data (Spark, Hadoop)
• Agile methodologies and their application in Data Engineering DevOps

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

Career Role (DevOps Data Engineering UK) Description
DevOps Data Engineer Designs, builds, and maintains data pipelines using DevOps principles. High demand for automation and cloud expertise.
Cloud Data Engineer (AWS/Azure/GCP) Focuses on cloud-based data solutions; strong knowledge of cloud platforms like AWS, Azure or GCP is crucial for this role. High salary potential.
Data Pipeline Engineer Develops and maintains robust, scalable data pipelines ensuring data integrity and efficient transfer. Experience with CI/CD is highly sought after.
Big Data DevOps Engineer Expertise in managing and automating large-scale data infrastructure; handles big data technologies like Hadoop, Spark, and Kafka.

Key facts about Advanced Certificate in DevOps for Data Engineering

```html

An Advanced Certificate in DevOps for Data Engineering equips professionals with the crucial skills to streamline data pipelines and enhance operational efficiency. This program focuses on bridging the gap between data engineering and DevOps practices, leading to improved data delivery and reduced operational costs.


Learning outcomes include mastering CI/CD pipelines for data projects, automating data infrastructure management using tools like Terraform and Ansible, implementing monitoring and logging solutions for data systems, and applying best practices in data security and compliance within a DevOps framework. Participants gain hands-on experience with relevant technologies and methodologies crucial for modern data engineering roles.


The duration of the certificate program varies depending on the provider, typically ranging from several weeks to a few months of intensive study. The program often includes a combination of online learning, practical exercises, and potentially a capstone project to solidify acquired skills and build a portfolio.


The industry relevance of an Advanced Certificate in DevOps for Data Engineering is exceptionally high. The demand for skilled professionals who can bridge the gap between data engineering and DevOps is growing rapidly. Graduates are well-positioned for roles such as DevOps Engineer, Data Engineer, Cloud Data Engineer, and DataOps Engineer, working across various industries including finance, healthcare, and technology.


This certificate is a valuable asset for individuals seeking career advancement or a transition into the rapidly evolving field of data engineering within a DevOps context. The skills learned are highly sought-after by employers looking to optimize their data infrastructure and improve overall data workflows. Key technologies covered often include Kubernetes, Docker, and cloud platforms like AWS, Azure, and GCP.

```

Why this course?

An Advanced Certificate in DevOps for Data Engineering is increasingly significant in today's UK job market. The convergence of DevOps principles and data engineering expertise is driving high demand. According to a recent survey of UK tech recruiters (fictional data for illustration), 85% reported a need for professionals proficient in DevOps practices applied to data pipelines. This reflects the growing importance of automation, continuous integration/continuous delivery (CI/CD) within data engineering workflows. Data engineers skilled in DevOps are crucial for organizations aiming for efficient and reliable data processing.

Skill Percentage of UK Tech Roles Requiring Skill (2024)
DevOps for Data Engineering 85%
Cloud Computing 78%
Data Analysis 72%

Who should enrol in Advanced Certificate in DevOps for Data Engineering?

Ideal Candidate Profile Skills & Experience Benefits
Data Engineers seeking to enhance their skillset in DevOps practices. Experience with data warehousing, ETL processes, and cloud platforms (e.g., AWS, Azure, GCP). Familiarity with scripting languages (Python, Bash). Increase earning potential (average UK data engineer salary growth is X% annually); improved job prospects in a growing field; enhance CI/CD pipelines for data projects.
Software Engineers transitioning into the data engineering field. Strong programming skills and experience with version control (Git) and automation tools. Accelerate career transition into high-demand data engineering roles; gain in-depth understanding of data infrastructure management; acquire sought-after DevOps skills for data applications.
IT professionals looking to upskill in data-centric DevOps. Experience in system administration, infrastructure management, or cloud computing. Expand skillset to meet the rising demand for data engineers with DevOps expertise; transition into higher-paying roles; boost career advancement within their organization. (According to recent UK tech reports, X% of IT roles now require DevOps skills).