Job description

When you join KPMG Ireland, you are joining a community of over 4,200 employees who collectively work together, both in person and virtually, to achieve their full potential.

We are known as an organisation who want you to come as you are and do work that truly matters. Joining KPMG Ireland is an opportunity to enhance your career, not only in the work that you enjoy doing, but equally through the global connections that you make, the lifelong learning that you can accomplish and the chance to make your mark.

Are you our next Data Engineer?

Location: Dublin, as part of our hybrid working model.

Grade: Manager/Associate Director

Contract type: Permanent

We are actively seeking experienced Data Engineers with a strong background in Cloudera CDP to enhance our Management Consulting team based in Dublin. Ideal candidates will have 7+ years of working experience, boasting a rich technical knowledge base and outstanding communication skills, with ambitions to lead in their domain.

Who You Are

You are a dedicated professional with a deep passion for data and technology, driven to utilize cutting-edge tools and methodologies to craft and implement exemplary data strategies and solutions. Your background likely encompasses computer science, applied mathematics, engineering, or a similar field, marking you as a lifelong learner and problem-solver. Your expertise is centred on engineering sophisticated data pipelines, with a keen focus on developing robust and forward-thinking solutions.

Collaboration is at the heart of your professional ethos, thriving in environments where you can work alongside other data engineers, data scientists, AI specialists, and business and process experts. You understand the value of teamwork in achieving sustainable success and are committed to both learning from and mentoring peers. With a mindset geared towards growth, you are excited to join a team known for its innovative spirit and commitment to quality.

A Snapshot Of Your Peer Group

  • At least 7+ years of overall extensive professional experience in Analytical Environments.
  • At least 5 years’ experience working with Data Engineering.
  • At least 1 years’ experience working in DevOPS /Agile environment.
  • A qualification at minimum level 8 in the National Framework of Qualifications (Honours Bachelor Degree or Higher Diploma level), in a related discipline, such as, Computer Science, Information Technology, Data Science, Software Engineering, Big Data Analytics, Computer and Communications Engineering.

Key Technical Skills

  • Data Engineering: Deep understanding of data transformation processes, data structures, metadata, dependency, and workload management
    • Big Data platforms: Strong experience with Hadoop Ecosystem (Cloudera CDP preferred)
    • Orchestration: Experience creating workflow schedules and data pipelines using tools like Oozie, NiFi, Airflow, or Luigi.
    • Programming and Scripting Proficiency: Advanced knowledge in languages such as Python, Scala, and Java for the core development of data processes. Experience with Groovy and Bash for scripting and automation tasks, facilitating efficient pipeline operations.
    • Data Management and Query Languages: Skilled in SQL for relational database interactions, with a strong understanding of HIVE and HBASE for managing big data within distributed environments.
    • Data Ingestion and Transformation Tools: Proficient in utilizing tools like KAFKA for real-time data streaming and SOLR for search and analytics, essential for building, deploying, and automating robust data ingestion and transformation pipelines.
    • Message Queuing and Stream Processing: Adept in using technologies for message queuing and stream processing, ensuring efficient data flow and real-time processing capabilities.
    • Scalable Data Stores Expertise: Familiarity with highly scalable data stores, including Elastic or Solr for scalable search, Kafka for high-throughput event streaming, and Hive and Hbase for distributed data storage and processing, supporting large-scale data applications.
    • Database Technologies Expertise: Skilled in open-source relational database management systems (RDBMS) such as PostgreSQL, SQL Server, and MySQL. And with NoSQL databases like Apache HBase, Apache Cassandra, DynamoDB, or MongoDB.

Good To Have

  • Cloudera Certified professional
  • Strong, soft skills and previous experience working alongside ICT and Data & Architecture stakeholders.
  • Experience in root cause analysis on data and processes for improvement identification.
  • Awareness of industry trends and emerging technologies in data management and processing.
  • Strong leadership skills, initiative, and the ability to drive the adoption of real-time data processing and best practices.
  • Dimensional modelling techniques such as Star & Snowflake schema database design

Your Team

KPMG offers a broad range of advanced analytics services across a wide range of clients, globally. Our dedicated analytics practice works with our clients in providing a wide range of services, across industries and functions, that harness capabilities in data operating models including data governance structures and operations, data engineering, advanced analytics, artificial intelligence coupled with business domain expertise.

Here’s how KPMG can benefit more than just your career:


All of our employees are given a benefits package which they can tailor to suit their individual preferences. Our range of benefits include:

  • Discounted health insurance
  • The purchase of additional annual leave
  • Frequent social events to help you build your network
  • Early finish Fridays on bank holiday weekends and throughout the summer months.
  • Relocation assistance for those moving to Ireland
  • Complimentary access to a range of Learning & Development programmes including LinkedIn Learning.

Career progression

When you join KPMG, your performance manager will support you to ensure that you are enhancing your skills from day one. You will also receive continuous support from our award-winning Business School where you will be continuously encouraged to deepen your knowledge and expertise within your chosen career path.

In addition to this, we are the only one of the Big Four firms to announce promotions four times per year, giving you frequent opportunities for progression throughout your career with us.

Inclusion & Diversity

Inclusion, diversity, and equity are part of who we are at KPMG. We embrace diversity of background, experience, and perspective and we’re committed to inclusion and equity at every level. At KPMG, we want to attract and retain the best talent. We recognise the strength that comes from having a diverse workforce and building a culture where we support all our people to achieve their potential. Visit to learn more.


If you are interested in the above role, please submit a CV via the apply button. If you have any specific queries on the role, please contact Shauna Maguire.

For an interactive insight into life at KPMG, make sure to follow #KPMGLife on social media You can find us on LinkedIn, Instagram, TikTok and Twitter.

Please note we do not require Agency assistance for this role.

By clicking apply to this role your application will not only be considered for this position, but your details will be stored on our database and may be considered for similar future positions that may arise. This means that the personal data contained in your application and provided to KPMG as part of the application process may be retained by us for up to 18 months from the date of your application and you hereby agree to that. If you do not wish your details to be stored on our recruitment database, please email stating this and we will ensure that such information is not stored other than for the purposes of this application.

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