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Principal Data Engineer
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At a glance
- Employment type
- Full-time
- Location
- Dublin, Ireland
- Workplace
- On-site
- Category
- Data engineering
Technologies & skills
What you'll be doing
Lead the design and build of scalable data solutions as a Principal Data Engineer in Dublin. Shape data architecture, develop robust workflows, mentor engineers, and collaborate with stakeholders. Requires deep experience in data engineering, Python, SQL, modern data tools, and cloud environments.
- Lead the architecture and development of high-quality data solutions
- Develop robust, production-ready, complex, business-critical data workflows
- Shape data architecture, models, and standards supporting analytics, data products, and AI initiatives
- Collaborate with stakeholders to define data requirements and shape solution design
- Mentor team members, conduct code reviews, and promote engineering best practices
Key requirements
Must-have
- 10+ years experience in data analytics or data engineering
- Proven track record designing and running scalable data platforms
- Advanced skills in Python and SQL
- Experience building reliable data pipelines and models
- Practical experience with Snowflake, dbt, Airflow, and data quality frameworks
- Ability to lead and mentor engineers
- Strong grasp of cloud environments (AWS preferred)
- Strong communication skills
Nice-to-have
- Experience developing AI solutions
Experience: 10+ years
Role signals
- Technical focus
- data engineering
- Leadership
- Mentoring
- Architecture / system design
- Indicated in the listing
- Hands-on vs management
- Hands-on
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Full job description
Lead Data Engineer
Dublin (2 days onsite per week)
Start Date: ASAP
We have partnered exclusively with a client that is seeking a Principal/ Lead Data Engineer on a full time basis in Dublin.
In this role, you will lead the design and build of sailable data solutions, utilizing your experience in data, AI and innovation.
Role Responsibilities:
-
Lead the architecture and development of high-quality data solutions
-
Develop robust, production-ready, complex, business-critical data workflows.
-
Shape data architecture, models, and standards that support analytics, data products, and AI initiatives.
-
Collaborate closely with stakeholders across the business to define data requirements and shape solution design.
-
Support the team’s growth through mentoring, code reviews, and the adoption of engineering best practices.
Experience Required
-
10+ years experience in the field of data analytics/ data engineering
-
Deep experience in data engineering, with a proven track record of designing and running scalable data platforms.
-
Advanced skills in Python and SQL, with a strong background in building reliable data pipelines and models.
-
Practical experience with modern data tools such as Snowflake, dbt, Airflow, and data quality frameworks.
-
A demonstrated ability to lead and mentor engineers, cultivating a culture of ownership, learning, and continuous improvement.
-
Strong grasp of cloud environments (AWS preferred) and best practices in data warehousing.
-
Strong communication skills, with the ability to turn business needs into clear technical solutions and influence key stakeholders.
-
Experience developing AI solutions is beneficial
Please note, applicants are required to hold a EU Passport/ Stamp 4 visa
For more information, please apply or email gary.seery@realtime.jobs
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