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Salary
≈ $84k – $174k per year (Estimated)
Location
In office (Dublin)
Seniority
Senior
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 26, 2026. First seen by Alion on Oct 6, 2026. Accenture scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Accenture is a professional services company that began as the consulting arm of the accounting firm Arthur Andersen, separated as Andersen Consulting in 1989 and took its present name in 2001. It is one of the largest technology services organisations in the world, employing well over seven hundred thousand people and running strategy, consulting, technology, operations and industry work for most of the Fortune Global 500. Incorporated in Dublin and built on a delivery network concentrated in India and the Philippines, it has reoriented around cloud migration, cybersecurity and generative AI, which it now books as a distinct multi-billion dollar revenue line.

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 atwww.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

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