Data Engineer for Newra, Part of Accenture
Core
Build data infrastructure powering next-generation AI, analytics, and digital products for banking clients by turning raw data into trusted, reusable assets.
Role type
Data Engineer (Banking/AI)
Builds
Scalable ETL/ELT pipelines, data models (dimensional, data vault, star), data quality frameworks, and cloud data infrastructure on Azure.
Domain
Banking / Data Engineering / AI
Deliverable
production ML models
Required skills
Python, PySpark, SQL, SparkSQL, Databricks, Apache Spark, Azure Data Lake Storage (ADLS Gen2), ETL/ELT design patterns, data modeling, data quality profiling, data governance, Git, CI/CD, dbt, PyTest, Apache Airflow, PostgreSQL, Delta Lake, Power BI/Tableau, ELK stack, Grafana.
Preferred skills
Feature engineering pipelines, ML training data preparation.
Technologies
Azure, Databricks, ADLS Gen2, Azure DevOps, Databricks Asset Bundles, dbt, PyTest, Apache Airflow, PostgreSQL, Delta Lake, Power BI, Tableau, ELK, Grafana.
Responsibilities
Design and build scalable ETL/ELT pipelines ingesting data from core banking sources; develop data models supporting analytical workloads and ML feature stores; implement data quality frameworks with profiling, validation rules, and anomaly detection; perform exploratory data analysis to surface patterns and quality issues; ensure data governance, compliance controls, and lineage aligned with banking regulations.
Seniority
Mid-level (2–3 years experience)
