Senior Data Engineer - End-to-End Azure Data Pipelines

Accenture; Dublin; On-site; EUR 90,000 - 130,000; Full time

Job summary

Accenture is seeking a Senior Data Engineer to own end-to-end data delivery on Azure and Fabric, building scalable cloud data solutions and mentoring engineers. You will design batch and streaming pipelines, create lakehouse architectures and ensure data quality, security and cost efficiency.

You'll work with Azure Data Factory, Data Factory on Fabric, Synapse and Databricks, while guiding governance and CI/CD practices across the team.

Qualifications

• Significant data-engineering experience with SQL and Python or PySpark.
• Hands-on with Microsoft Fabric or Azure services (Data Factory, Data Lake Storage, Synapse, Databricks).
• Knowledge of dimensional modelling, lakehouse patterns, medallion architecture and data integration.
• Experience with identity, access control, data protection and production support.
• Demonstrated ability to own technical workstreams and communicate design decisions clearly to both technical and non-technical audiences.

Responsibilities

• Design and develop batch and streaming data pipelines using Azure Data Factory, Fabric Data Factory, notebooks and related services.
• Build curated lakehouse, warehouse and semantic data layers that support analytics and AI use cases.
• Implement data-quality checks, metadata, lineage, monitoring, alerting and operational support.
• Optimise pipelines and storage for reliability, security, performance and cost.
• Apply source control, automated testing and CI/CD through Azure DevOps or GitHub.
• Own delivery of your workstreams end-to-end—from design through production, managing risk and stakeholders.
• Set the bar for engineering quality—review designs, shape standards, and mentor the team.

Skills

SQL

Python

PySpark

Tools

Microsoft Fabric

Azure Data Factory

Data Lake Storage

Synapse Analytics

Databricks

Job description

Accenture is seeking a Senior Data Engineer to own end-to-end data delivery on Azure and Fabric, building scalable cloud data solutions and mentoring engineers. You will design batch and streaming pipelines, create lakehouse architectures and ensure data quality, security and cost efficiency.

You'll work with Azure Data Factory, Data Factory on Fabric, Synapse and Databricks, while guiding governance and CI/CD practices across the team.