Data Engineering Training in Ireland

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Learning Curve for Data Engineering

Learning curve for Data Engineering

Master In Data Engineering Course

OneCourseMultipleRoles

Empower your career with in-demand data skills and open doors to top-tier opportunities.

Data Engineer
Big Data Engineer
ETL Developer
Cloud Data Engineer
Machine Learning Engineer
Data Architect
Database Administrator (DBA)
Data Warehouse Engineer
Business Intelligence (BI) Engineer
Data Pipeline Engineer
Analytics Engineer
AI Data Engineer

Skills & Tools You'll Learn -

SQL & Database Management  iconSQL & Database Management (Relational & NoSQL Databases) – Design, manage, and optimize structured and unstructured databases for efficient data storage and retrieval.
Data Warehousing iconData Warehousing(ETL, ELT, Data Lakes) – Build scalable data warehouses and lakes using ETL/ELT pipelines to consolidate and analyze large datasets.
Big Data Processing (Hadoop, Spark) iconBig Data Processing (Hadoop, Spark)Process and analyze massive datasets efficiently with distributed computing frameworks like Hadoop and Apache Spark.
Cloud Platforms (AWS)  iconCloud Platforms (AWS) Leverage cloud-based services to store, process, and manage data at scale with AWS infrastructure.
Data Modeling & Schema Design iconData Modeling & Schema DesignDevelop optimized data models and schemas to ensure seamless data organization, integrity, and performance.
Programming Languages iconProgramming Languages(Python, Java, Scala) – Utilize programming languages for data manipulation, processing, and pipeline development.
Data Pipeline Orchestration iconData Pipeline Orchestration(Apache Airflow) – Automate, schedule, and monitor complex data workflows using Apache Airflow.
Data Governance & Security iconData Governance & Security (Data Privacy, Compliance) – Implement data security, privacy policies, and compliance measures to protect sensitive information.
Tools & Technologies iconTools & TechnologiesApache Spark (Batch & Stream Processing) – Perform high-speed batch and real-time data processing with Apache Spark.
Kafka  iconKafka (Real-Time Data Streaming) – Enable real-time data ingestion, processing, and streaming with Apache Kafka.
AWS Data Services  iconAWS Data Services (S3, Redshift, Glue, Kinesis) – Store, transform, and analyze large datasets using AWS cloud data services.
ETL Tools iconETL Tools(Informatica, Talend, dbt) – Automate and streamline data extraction, transformation, and loading processes for analytics.
Containerization & Orchestration (Docker) iconContainerization & Orchestration (Docker)Deploy and manage scalable, containerized data applications with Docker.
BI & Visualization Tools iconBI & Visualization Tools(Power BI, Tableau) – Create interactive dashboards and reports to extract insights from data visually.

Why Choose SevenMentor Data Engineering

Empowering Careers with Industry-Ready Skills.

Specialized Pocket Friendly Programs as per your requirements

Specialized Pocket Friendly Programs as per your requirements

Live Projects With Hands-on Experience

Live Projects With Hands-on Experience

Corporate Soft-skills & Personality Building Sessions

Corporate Soft-skills & Personality Building Sessions

Digital Online, Classroom, Hybrid Batches

Digital Online, Classroom, Hybrid Batches

Interview Calls Assistance & Mock Sessions

Interview Calls Assistance & Mock Sessions

1:1 Mentorship when required

1:1 Mentorship when required

Industry Experienced Trainers

Industry Experienced Trainers

Class Recordings for Missed Classes

Class Recordings for Missed Classes

1 Year FREE Repeat Option

1 Year FREE Repeat Option

Bonus Resources

Bonus Resources

Curriculum For Data Engineering

BATCH SCHEDULE

Data Engineering Course

Find Your Perfect Training Session

Jan 4 - Jan 10

2 sessions
04
Sun
Classroom/ Online
Weekend Batch
10
Sat
Classroom/ Online
Weekend Batch

Jan 11 - Jan 17

1 sessions
12
Mon
Classroom/ Online
Regular Batch

Jan 18 - Jan 24

1 sessions
19
Mon
Classroom/ Online
Regular Batch

Learning Comes Alive Through Hands-On PROJECTS!

Comprehensive Training Programs Designed to Elevate Your Career

Data Pipeline for Sales Data Processing

Data Pipeline for Sales Data Processing

Real-Time Stock Price Data Ingestion

Real-Time Stock Price Data Ingestion

Customer Data Warehouse

Customer Data Warehouse

Log Data Processing System

Log Data Processing System

Cloud-Based ETL Pipeline for E-commerce Data

Cloud-Based ETL Pipeline for E-commerce Data

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KEY Features that Makes Us Better and Best FIT For You

Expert Trainers

Industry professionals with extensive experience to guide your learning journey.

Comprehensive Curriculum

In-depth courses designed to meet current industry standards and trends.

Hands-on Training

Real-world projects and practical sessions to enhance learning outcomes.

Flexible Schedules

Options for weekday, weekend, and online batches to suit your convenience.

Industry-Recognized Certifications

Globally accepted credentials to boost your career prospects.

State-of-the-Art Infrastructure

Modern facilities and tools for an engaging learning experience.

100% Placement Assistance

Dedicated support to help you secure your dream job.

Affordable Fees

Quality training at competitive prices with flexible payment options.

Lifetime Access to Learning Materials

Revisit course content anytime for continuous learning.

Personalized Attention

Small batch sizes for individualized mentoring and guidance.

Diverse Course Offerings

A wide range of programs in IT, business, design, and more.

Course Content

About Data Engineering Course 

In recent years, Ireland has developed as a booming centre for technology and data-driven businesses. As digital transformation accelerates across industries, the demand for qualified data professionals has increased dramatically. Data engineering is at the heart of this technological growth, as it supports the gathering, storage, and transformation of data into actionable assets. Data Engineering Classes in Ireland meet this growing demand by providing comprehensive training in the design of resilient data pipelines, scalable storage solutions, and real-time data processing systems.

Data engineering is a foundational component of modern data infrastructure. Unlike traditional IT roles that focus on software development or system administration, data engineers specialize in building robust frameworks that enable efficient data analysis and machine learning. Through practical implementation of data ingestion methods, stream processing engines, and big data architectures, learners can become the backbone of any enterprise’s analytics capability.


Technical Core of Data Engineering

Data engineering revolves around the integration of multiple technologies, programming paradigms, and systems architecture. Students enrolled in SevenMentor’s Data Engineering Classes in Ireland begin with an introduction to data modeling, relational and non-relational databases, and the fundamentals of distributed computing. A typical curriculum explores topics such as data warehouse architecture, Apache Hadoop ecosystems, Apache Spark for large-scale data processing, and real-time ingestion pipelines using Apache Kafka.

Advanced modules cover orchestration frameworks like Apache Airflow, containerization with Docker, and cloud-native data services offered by AWS, Azure, and Google Cloud. Data quality checks, monitoring, and governance tools are also integrated to ensure learners understand the end-to-end lifecycle of a data pipeline. These modules are reinforced with hands-on projects that mirror real-world data engineering challenges, offering learners an opportunity to implement their knowledge in practical scenarios.


Foundations in Programming and Automation

Programming is a critical skill in data engineering. Python is the language of choice in most Data Engineering training in Ireland, especially because of its rich ecosystem of libraries like Pandas, PySpark, and SQLAlchemy. SQL remains essential for querying structured datasets, and learners are taught how to optimize queries and manage transactional systems using PostgreSQL or MySQL.

In addition to coding, automation is an important aspect of data engineering. Schedulers, continuous integration/delivery pipelines, and configuration management tools are used to show how current data workflows are deployed, monitored, and scaled. Git version control, Kubernetes container orchestration, and Terraform infrastructure as code are all covered to provide learners with a full-stack engineering viewpoint.


ETL and ELT Systems Development

Extract, Transform, Load (ETL) and its modern variant, Extract, Load, Transform (ELT), are vital concepts taught in Data Engineering courses in Ireland. These systems form the bedrock of modern data warehousing strategies. Learners are guided through building ETL pipelines using tools like Apache NiFi, Talend, and custom scripts in Python.

As part of the curriculum, real-time data processing strategies are introduced. The use of stream processing tools such as Apache Flink and Spark Streaming allows learners to design systems that handle continuous data from sources like IoT devices, financial transactions, or user behavior logs. These capabilities are critical for organizations that rely on near real-time analytics for decision-making.


Data Warehousing and Storage Technologies

A major focus of SevenMentor’s Data Engineering training in Ireland is the selection and design of appropriate storage solutions. Learners explore cloud-based data warehouses such as Amazon Redshift, Google BigQuery, and Snowflake, as well as traditional OLAP systems. Concepts like partitioning, indexing, and denormalization are emphasized to improve the performance and scalability of analytical queries.

Understanding the trade-offs between storage systems—row-oriented vs columnar storage, on-premises vs cloud-native, or cold vs hot storage—is essential in building optimized systems. The course content is carefully crafted to provide this knowledge in a context relevant to the Irish and global tech industry, preparing students for data roles in diverse domains such as finance, healthcare, and e-commerce.


Real-Time and Batch Data Processing

One of the distinguishing characteristics of a strong data engineer is their ability to handle both batch and streaming data. Batch processing is taught using frameworks such as Apache Spark and Hive, which focus on processing massive amounts of historical data. Streaming, on the other hand, is presented using tools such as Kafka Streams and Apache Storm, which enable students to process and act on data as it arrives.

The program emphasises the Lambda and Kappa architectural patterns, both of which have advantages and disadvantages. Projects including real-time dashboarding, alerting systems, and streaming aggregations educate students to handle production workloads. These technical components are critical in industries such as logistics, digital marketing, and fintech, where rapid decision-making is required.


Data Governance, Security, and Compliance

Data privacy and regulatory compliance have become more prominent than ever, especially with GDPR enforcement across Europe. The SevenMentor’s Data Engineering Classes in Ireland integrate modules on data governance, focusing on data lineage, auditability, and access control. Learners are introduced to tools like Apache Atlas and AWS Lake Formation for managing metadata and access policies.

Security practices including encryption, tokenization, and key management are also discussed. These are crucial for handling sensitive data like personal identifiers, financial records, or proprietary business information. With a deep understanding of these aspects, learners are better equipped to implement secure data infrastructures.


Deployment and Monitoring

Once data pipelines are built, ensuring their reliability and maintainability is vital. Students learn how to deploy these pipelines using CI/CD workflows. Monitoring tools like Prometheus, Grafana, and ELK stack are introduced to track performance metrics and alert on anomalies. The curriculum places emphasis on observability and the use of log-based debugging to support long-term pipeline stability.

Deployment strategies often include hybrid environments—on-premises infrastructure integrated with cloud services. Learners are trained to deal with latency, data consistency, and network overhead challenges that arise in such complex architectures. Moreover, resilience techniques such as retries, circuit breakers, and dead-letter queues are demonstrated for fault-tolerant systems.


Capstone Projects and Real-World Exposure

A unique aspect of Data Engineering training in Ireland is its focus on experiential learning. Capstone projects typically span a few weeks and require learners to design, implement, and present a full-fledged data pipeline. These projects mirror real-world challenges, such as building a data lake for an e-commerce company, creating a real-time analytics dashboard for customer engagement, or implementing a recommendation system using streaming data.

These projects allow learners to not only test their technical skills but also to develop soft skills such as collaboration, problem-solving, and project documentation. Exposure to these practical assignments often makes students job-ready and enhances their confidence when stepping into real-world roles.


About SevenMentor

Among the many institutions offering Data Engineering Classes in IrelandSevenMentor the best training institute for Data Engineering Training stands out for its rigorous curriculum, industry-relevant projects, and expert-led instruction. The institute has earned a reputation for delivering technically advanced training modules that align with current market trends.

SevenMentor’s faculty consists of professionals with deep experience in data engineering, analytics, and cloud infrastructure. Their teaching methodology is hands-on, allowing learners to work with real datasets and production-grade systems from the beginning. With state-of-the-art labs and continuous support, SevenMentor ensures that students not only understand the theory but also master its application in diverse business scenarios.

Furthermore, SevenMentor maintains partnerships with various organizations, enhancing placement opportunities for students. Their dedicated placement assistance team supports resume building, technical interviews, and live coding assessments, making them an ideal destination for anyone serious about a career in data engineering.

The digital transformation journey in Ireland is strongly fueled by innovations in data management and analytics. As businesses increasingly rely on data for strategic advantage, the demand for qualified data engineers continues to grow. Enrolling in Data Engineering courses in Ireland equips individuals with the skillsets needed to manage, transform, and serve data in complex, fast-paced environments.

SevenMentor, as a leader in this domain, offers unmatched training infrastructure, expert mentorship, and practical exposure, making SevenMentor the best training institute for Data Engineering Training. Their programs are tailored not only for freshers but also for experienced professionals seeking to specialize in modern data engineering practices.


Online Classes

SevenMentor offers comprehensive online Data Engineering Classes in Ireland, designed for remote learners without compromising on depth or quality. These online classes include live instructor-led sessions, recorded modules, interactive labs, and weekly project reviews. Learners can access cloud-based labs and attend virtual doubt-solving sessions, making it easy to stay on track with their learning journey.

The online format is especially beneficial for working professionals who wish to upskill without taking a career break. From the comfort of their homes, students can engage with a community of peers, work on collaborative projects, and receive mentorship from industry experts. This format retains all the technical depth of classroom sessions while offering unmatched convenience.


Corporate Training

SevenMentor also offers corporate Data Engineering training solutions for enterprises a. Their tailored Data Engineering training in Ireland is customized to meet the specific data infrastructure needs of businesses. Whether it's migrating legacy ETL systems to the cloud, implementing real-time data analytics, or training teams on secure data practices, SevenMentor's corporate training programs are comprehensive and business-oriented.

These training solutions are delivered onsite or through virtual classrooms, with pre-assessment and post-training evaluations to measure impact. The curriculum is developed in consultation with client teams to ensure relevance and immediate applicability. This approach makes SevenMentor a preferred partner for organizations aiming to build internal data engineering expertise and drive innovation through data.

Frequently Asked Questions

Everything you need to know about our revolutionary job platform

1

What are the prerequisites for enrolling in this course?

Ans:
While there are no strict prerequisites, having a basic understanding of programming, SQL, and databases can be helpful. However, even beginners can join, as we cover everything from the ground up.
2

Why should I take Data Engineering training at SevenMentor instead of learning on my own?

Ans:
Self-learning can be overwhelming due to the wide range of tools and technologies involved. At SevenMentor, you benefit from structured learning, expert guidance, hands-on projects, and job placement support—all in one place.
3

What tools and technologies will I learn in this course?

Ans:
You will gain expertise in SQL, Python, Apache Spark, Hadoop, AWS (S3, Redshift, Glue, Kinesis), Kafka, Airflow, Data Warehousing, ETL processes, and BI tools like Power BI and Tableau.
4

What teaching approach does SevenMentor follow for Data Engineering training?

Ans:
Our training includes instructor-led sessions, hands-on labs, real-world case studies, project-based learning, and practical exercises to help you master data engineering concepts effectively.
5

Does this course include cloud-based data engineering training?

Ans:
Yes! You’ll learn how to work with cloud platforms like AWS, focusing on data storage, processing, and pipeline orchestration using cloud-native tools.
6

What makes SevenMentor one of the best training institutes for Data Engineering?

Ans:
We offer an industry-focused curriculum, hands-on practical training, expert mentors, real-world projects, flexible learning options, and strong job placement assistance.
7

How long does it take to complete the Data Engineering training?

Ans:
The program typically takes 3 to 6 months, depending on whether you choose a full-time or part-time learning schedule.
8

Does SevenMentor provide placement assistance for this course?

Ans:
Yes, we offer 100% placement assistance, including resume building, interview preparation, career guidance, and job referrals to top tech companies.
9

Will I work on real-world projects during the training?

Ans:
Absolutely! You will develop end-to-end data pipelines, work with big data processing frameworks, implement ETL workflows, and gain hands-on experience with cloud-based data engineering.
10

Is this training available online, or do I have to attend classroom sessions?

Ans:
We provide both online and classroom training options, allowing you to choose the mode that best fits your schedule and learning preferences.
11

What career opportunities are available after completing this Data Engineering course?

Ans:
You can apply for roles such as Data Engineer, Big Data Engineer, Cloud Data Engineer, ETL Developer, Data Architect, and Machine Learning Engineer in leading tech companies.
12

Will I receive course-related study materials?

Ans:
Yes! You’ll get access to video lectures, study materials, coding exercises, project resources, and hands-on assignments to enhance your learning experience.
13

Is this Data Engineering course suitable for beginners, or does it cover advanced topics?

Ans:
The course starts with foundational concepts and gradually moves to advanced topics like Big Data Processing, Cloud Data Pipelines, Streaming Data, Data Warehousing, and Security Best Practices to ensure comprehensive learning.

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