Lead Data Engineer

Reperio Human Capital; Dublin; Hybrid; EUR 111,000 - 166,000; Part time

Job summary

Reperio Human Capital Ltd is recruiting a Lead Data Engineer based in Dublin for a 6-month hybrid contract. You will own the technical strategy and delivery of the data and analytics engineering function, leading a team of Data Engineers on a Microsoft Fabric platform.

You will set architecture, standards and roadmaps for ingestion through modelling, and collaborate with BI, Data Governance and analytics teams to ensure governed, self-service data delivery.

Qualifications

• Previous Senior/Lead Data Engineer with hands-on data modelling experience.
• Proficiency with SQL and Python.
• Experience with Microsoft Fabric, Azure Synapse, Databricks and Snowflake.
• Experience setting technical architecture and standards for pipelines and data modelling.

Responsibilities

• Set the technical strategy and architecture across ingestion, transformation and semantic layers.
• Own platform reliability, scalability and cost, prioritising investments against demand and risk.
• Set data modelling and documentation standards in the data catalogue for self-service analytics.

Skills

Data modelling

SQL

Python

Architecture & standards

Tools

Microsoft Fabric

Azure Synapse

Databricks

Snowflake

Job description

I'm currently recruiting for a Lead Data Engineer based in Dublin. This is an initial 6-month contract, focusing on hybrid working. Strong day rate available.

Our client is hiring a Data Engineering Lead to own the technical strategy and delivery of its combined data and analytics engineering function. You'll lead a team of Data Engineers and set the architecture, standards and roadmap on a Microsoft Fabric platform, covering everything from data ingestion to modelling.

About the Role

• Set the technical strategy and architecture across ingestion, transformation and semantic layers
• Own the platform's reliability, scalability and cost, and prioritise investment against business demand and risk
• Set data modelling and documentation standards in the data catalogue, so the team depends less on key people, and the business can use self-service analytics
• Work with BI & Reporting and Data Governance to keep the pipeline well-governed from raw data through to certified reporting datasets

Requirements

• Previous experience as a Senior or Lead Data Engineer with strong hands-on data modelling expertise
• Proficiency with SQL and Python skills
• Previous technical experience with Microsoft Fabric, Azure Synapse, Databricks and Snowflake
• Experience setting technical architecture and standards for both pipeline engineering and data modelling

Desirable

• Experience in energy, utilities or another regulated industry
• Exposure to data governance and cataloguing tools
• Experience setting up data testing and CI/CD practices