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Databricks Data Engineer
AccentureListed on Accenture’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
Accenture seeks a data engineer to design and build scalable data pipelines on Databricks and cloud platforms, transforming raw data into analytics-ready datasets. This role suits someone with strong Python skills and hands-on experience in modern data engineering who wants to work across cloud ecosystems on enterprise data infrastructure.
Our summary, not Accenture’s wording. The full posting is on their site.
Skills this role names
- Amazon Web Services (AWS)
- Apache Spark
- Data Lakes
- Data Modeling
- Data Quality
- Databricks
- ETL
- Microsoft Azure
- Python
- SQL
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What they ask for
Required
- 4+ years of data engineering or data manipulation experience
- Hands-on experience with Databricks
- Strong Python programming skills
- Experience designing and building ETL/ELT pipelines
- Understanding of data lakes and cloud data platforms
- Experience with Azure and/or AWS
- Data transformation methodologies and data modeling knowledge
- Clean, maintainable, well-documented code
- Understanding of development methodologies and Agile delivery
- Data quality, pipeline monitoring, performance optimization, and operational support experience
- English communication skills
Nice to have
- Azure Data Factory or AWS data services experience
- DataOps practices knowledge
- FinOps dashboards or cloud cost management experience
- Power BI or other reporting/dashboarding tools
- Spec-driven or AI-assisted development exposure
- Enterprise security, governance, and operational standards familiarity
- French language skills