Senior Data Engineer

Joining us means becoming part of a Technology and Transformation team that brings challenge, curiosity and edge to every engagement. Working with leading technologies and exceptional people, you will deliver meaningful change for high profile local and international clients. You will help shape the future of digital transformation within a people first culture that is collaborative, innovative and welcoming. At Deloitte, the world’s number one professional services firm, you will tackle complex challenges in an environment where number one never stops challenging.

We offer a competitive starting salary of €62,500.00 for this role, with salary adjustments reflecting your experience level and expertise. .

At Deloitte, our Artificial Intelligence & Data Team is at the forefront of harnessing data to drive transformative business outcomes. As a Data Engineer, you will have the opportunity to work with cutting-edge technologies and diverse clients, delivering scalable data solutions that underpin AI and analytics initiatives.

This role offers a stimulating environment where you can develop your technical expertise, lead project workstreams, and contribute to innovative data architectures while collaborating across multiple business functions.

Key Skills And Prior Experience

• A minimum of a third-level degree in Maths, Physics, Engineering, Computer Science, or a related discipline
• Proven commercial experience in data management roles, including stakeholder engagement and project delivery
• Strong expertise in data modelling, integration, and ETL pipeline development using distributed computing tools such as Hadoop or Spark
• Proficiency in programming languages and tools such as R, Python, Scala, NiFi, Spark, and cloud platforms like Azure Analytics, Databricks, or AWS Glue
• Experience with SQL, relational databases, and real-time streaming analytics is highly advantageous
• Ability to communicate complex analytical insights clearly, supported by experience with data visualisation tools such as Power BI or Tableau

• Leading project workstreams and supporting client engagements across various industries and specialisms
• Designing, developing, and implementing robust data architectures and scalable data pipelines for storage and processing
• Ensuring data quality, integrity, and security are maintained throughout data workflows
• Optimising data processes for performance and efficiency in large-scale environments
• Integrating diverse data sources and formats into cohesive, scalable ETL solutions
• Collaborating with cross-functional teams to translate business needs into effective data-driven solutions
• Staying current with emerging data engineering tools and technologies to continuously enhance delivery capabilities
• Managing and mentoring junior team members, providing both technical and non-technical guidance

The hiring manager is a seasoned leader within Deloitte’s Artificial Intelligence & Data Team, recognised for fostering a collaborative and inclusive culture.

They emphasise open communication, professional development, and innovation, balancing high standards with empathy. Their leadership style encourages continuous learning and teamwork, with a strong commitment to delivering exceptional client value.

Where is this role based?

This role is based in Dublin or Cork, offering a flexible hybrid working model that combines office presence with client site engagements.

For more details, please visit our Deloitte Works webpage.

If you meet most of the criteria above, we encourage you to apply. Deloitte is an equal opportunities employer and will ensure that any reasonable accommodations are implemented throughout the recruitment and selection process.

What We Offer

Your reward at Deloitte is competitive, purpose driven and designed to support your growth. It is more than salary. We invest in your personal and professional development, empower your work life balance and offer benefits that support you at every stage of life. These include health and wellbeing supports, pension and savings options, training and coaching and enhanced leave options.