Job Description
Role Overview
Accenture is seeking a Databricks Data Engineer proficient in Python to architect, construct, safeguard, and sustain scalable data pipelines within cloud data ecosystems. The professional will concentrate on engineering dependable data flows from diverse origins into clear, accessible datasets tailored for analytics and business reporting. Ideal candidates bring practical expertise in Databricks, Python, cloud architectures like Azure or AWS, and standard data engineering methods encompassing performance tuning, monitoring, and operational upkeep.
Key Responsibilities
- Design, construct, and sustain scalable data workflows utilizing Python and Databricks.
- Implement data ingestion, processing, and transformation steps across varied origin sources.
- Engage with enterprise data structures, cloud platforms, and data lakes.
- Maintain secure, performant, reliable, and scalable pipeline operations.
- Deploy monitoring tools, alert systems, incident analysis, and efficiency tuning.
- Support data quality practices featuring validation, cleansing, and consistency checks.
- Contribute to data modeling initiatives to supply operational and analytics teams.
- Draft and preserve technical documentation alongside data architecture diagrams.
- Partner across business, analytics, and operational groups to release valuable data solutions.
- Engage in Agile framework delivery and enhance engineering benchmarks.
Requirements and Experience
- Extensive practical background utilizing Databricks.
- Robust software creation proficiency in Python.
- At least 4 years of professional background working in data manipulation or data engineering tasks.
- Practical exposure creating ELT and ETL data pipelines.
- Familiarity with cloud data platforms, data lakes, and contemporary architectural frameworks.
- Competency producing clean, structured, and documented code.
- Familiarity with Agile delivery frameworks.
- Strong spoken and written communication abilities in English, with French regarded as advantageous depending on assignments.
How to Apply
Review the full job posting on CareerHub and follow the external application instructions provided by the employer.
Follow the instructions on the linked recruitment page: Apply now.
Closing date: 5 November 2026.
