ARE YOU READY to step into the
New Era (NewRA) of AI-driven banking?
At Accenture Newra AI Hub, we are not just building technology, we are redefining how banking operates. As part of our strategic collaboration with Piraeus, Newra is designed to responsibly embed AI at the core of its business, moving beyond experimentation to real-world impact at scale. Built to make a real difference, Newra reflects our belief that AI creates value only when it genuinely improves people’s lives.
You will work on advanced AI solutions that span the full spectrum of the bank -from core banking systems to customer experience- simplifying complexity, automating critical processes and delivering measurable results where they matter most.
Joining Newra means becoming part of a high-performing team of innovators at the beginning of a major reinvention. This is a space for people who approach AI with depth, discipline and purpose. You will collaborate across disciplines, develop future-proof skills, and help turn technology into real-world transformation.
As a Data Engineer, you’ll build the data infrastructure that powers next-generation AI, analytics, and digital products, turning raw, complex data into trusted, reusable, and production-ready assets. You’ll design scalable ETL/ELT pipelines, shape well-modelled data products, and embed quality checks that make data accurate, reliable, and easy to use. You'll think like an engineer and an analyst, building pipelines that are not only fast and reliable, but understood, validated, and trusted.
What You'll Build
Scalable ETL/ELT pipelines that ingest, transform, and deliver data from core banking sources (CRM, transactional systems) to the data platform
Data models (dimensional, data vault, star) supporting analytical workloads, ML feature stores, and BI use cases
Data quality frameworks: profiling, validation rules, anomaly detection, and automated remediation workflows — including data quality metrics, KPIs, and monitoring dashboards
Exploratory data analysis and profiling to surface patterns, anomalies, and quality issues across AI/ML pipelines
Data validation tools and quality checks to ensure accuracy and consistency across ingestion and transformation pipelines
Cloud data infrastructure on Azure (Databricks, ADLS Gen2) using modern ETL/ELT tools and cloud-native architectures
CI/CD for data pipelines using Azure DevOps, Databricks Asset Bundles, and infrastructure-as-code practices
Data governance, compliance controls, and lineage aligned with banking regulations (GDPR, PSD2)What We NeedDegree in Computer Science, Engineering, Information Systems, or related field
2–3 years hands-on in data engineering or data analytics — pipeline development, data modelling, or data quality
Strong Python / PySpark and SQL / SparkSQL; performance tuning on large datasets
Experience with Databricks / Apache Spark and Azure Data Lake Storage (ADLS Gen2)
ETL/ELT design patterns; data warehouse and lakehouse architecture concepts
Data quality mindset: profiling, anomaly detection, root cause analysis, and quality benchmarking
Familiarity with data governance and compliance standards (GDPR, PSD2)
Git / Azure DevOps / CI/CD; strong analytical and problem-solving skills; proficiency in Greek and English
dbt and/or PyTest for data transformation and pipeline testing
Apache Airflow / data orchestration; PostgreSQL / Delta Lake; Power BI or Tableau for quality dashboards
Logging and monitoring tools (ELK, Grafana) for pipeline observability
Feature engineering pipelines and ML training data availabilityWhat's In It For YouCompetitive salary and benefits, including but not limited to: life/health insurance, performance based bonuses, monthly vouchers, company car (depending on management level), flexible work arrangements, employee share purchase plan, parental leave and various corporate discounts
Continuous training & development through global platforms & local academy. At Accenture, we believe in bringing the best to our clients through continuous learning & improvement – from basic skills to industry-specific content – available to all our people
Career coaching and mentorship to help you manage your career and develop professionally
Ongoing strength and skill-based evaluation process
Various opportunities to develop your career across a spectrum of clients, industries and projects
Diverse and inclusive culture
Opportunities to get involved in corporate citizenship initiatives, from volunteering to doing charity work
Under our Brain Regain initiative, extra relocation benefits may applyTo learn more about Accenture, and how you will be challenged and inspired from Day 1, please visit our website accenture.com/gr-en/.
