My Dublin-based client is actively recruiting a Data Engineering Manager to join their team on a permanent basis.

Job Responsibilities

• Providing technical direction and leadership to engineering squads
• Defining the technical capabilities and resource profiles required within the squads, and works with internal resource management and external delivery partners to ensure the right capability is in place within the teams
• Inputting to the process to assess whether incoming change is ‘engineering ready’ and works with business and IT colleagues to establish and manage entry requirements
• Engineering best practice adoption within the squads
• Ensuring engineering squads have the requisite tooling, methodology and process to drive delivery efficiency
• Identifying, developing proposals and managing the execution of initiatives to automate, simplify and scale services
• Being a leader for other engineers and ensures that career path and knowledge sharing is embedded in ways of working
• Striving to continuously develop new and improved data engineering capabilities
• Contributing to the continual improvement of the business`s data platforms through observations and well-researched knowledge
• Continuously keeping track of industry best practices and trends and through acquired knowledge, which takes advantage of process and system improvement opportunities
• As a People Manager and a member of IT Engineering Leadership team you will drive engagement, and will be accountable for demonstrating and role modelling the Group’s values and behaviours through your people management and the way in which you deliver business goals.

Experience Required

• Minimum 5 years’ experience as Engineering Lead in the data warehouse domain
• Deep technical knowledge of Data Warehouse Technologies and Architecture, SQL, Teradata Solutions, Informatica and Tableau
• Large scale delivery experience and data management experience
• Experience in data warehousing inclusive of dimensional modelling concepts and demonstrate proficiency in scripting languages, for example, Python, Perl, and so forth.
• Scrum / Kanban and SAFe delivery experience
• Demonstrable experience and a deep knowledge of data mining techniques, relational, and non-relational databases.

Essential and Desirable Skills

• SAFe Agile Software Engineering

Educational Requirements

• BSc or MSc in Engineering & Computer Science, Applied Mathematics, or Data Engineering.