Data Engineer for Newra, Part of Accenture
Core
Build data infrastructure powering next-generation AI, analytics, and digital products for banking clients by transforming raw data into trusted, reusable assets.
Role type
Data Engineer
Builds
Scalable ETL/ELT pipelines, data models (dimensional, data vault, star), data quality frameworks, and cloud data infrastructure on Azure.
Domain
Banking / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, PySpark, SQL, SparkSQL, Databricks, Apache Spark, Azure Data Lake Storage (ADLS Gen2), ETL/ELT design patterns, data modeling, data quality profiling, anomaly detection, 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 automated remediation; perform exploratory data analysis to surface patterns and anomalies; ensure data governance, compliance controls, and lineage aligned with banking regulations.
Seniority
Mid-level, hands-on IC
