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Senior Data Engineer

Accenture accenture.com Open
Dublin Full-time Senior Data Engineering

At a glance

Senior Data Engineering role at Accenture. Dublin · full-time.

Pay not stated Data Engineer salary

RoleData Engineering
SenioritySenior
LocationDublin
EmploymentFull-time
PostedOct 6, 2026
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Build batch and streaming data flows with Azure Data Factory, Fabric Data Factory, notebooks and related services
  • Create lakehouse, warehouse and semantic layers for analytics and AI workloads
  • Add data checks, metadata, lineage, monitoring and alerts, then support the systems in production
  • Tune pipelines and storage for cost, speed, security and dependable operation
  • Lead workstreams from solution design to launch, while reviewing designs, setting standards and coaching engineers

What you bring

  • Substantial data engineering experience using SQL and either Python or PySpark
  • Practical experience with Microsoft Fabric or Azure data services such as Data Factory, Data Lake Storage or another listed service
  • Knowledge of dimensional models, lakehouse and medallion approaches, and data integration
  • Experience with access controls, data protection and production support

Who this fits

This role suits a senior engineer who can own technical delivery and explain design choices to both technical and non-technical audiences. It includes technical leadership through design reviews, engineering standards and mentoring. The role is based in Dublin, Ireland.

From the employer

Role overview: Data is the fuel for every AI solution we build — and we're looking for someone who can own that foundation end-to-end. As a Senior Data Engineer, you'll design and deliver scalable cloud data solutions on Microsoft Azure and Fabric, combining hands-on engineering with real technical leadership: owning solution design, setting the standards your team works to, and mentoring the engineers around you.


Key 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 to production, managing risk and stakeholders along the way
  • Set the bar for engineering quality — reviewing designs, shaping standards, and mentoring the team to raise the floor, not just the ceiling.

Qualifications, skills and experience:

  • Significant data-engineering experience with SQL and Python or PySpark.
  • Hands-on experience with Microsoft Fabric or Azure services such as Data Factory, Data Lake Storage, Synapse Analytics and 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.

Desirable: Event Hubs, Kafka, Purview, Power BI semantic models, dbt and relevant Azure or Fabric certifications.


About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities

Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Engineering

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.