Data Engineer for Newra, Part of Accenture at Accenture

Athens, Attica, Greece -

Full Time

Start Date

Immediate

Expiry Date

05 Oct, 26

Salary

0.0

Posted On

07 Jul, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, PySpark, SQL, SparkSQL, Databricks, Apache Spark, Azure Data Lake Storage, ETL/ELT Design, Data Modelling, Azure DevOps, CI/CD, Data Governance, dbt, Apache Airflow, Power BI, Tableau

Industry

Business Consulting and Services

Description

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 need Degree 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 availability What's in it for you Competitive 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 apply To learn more about Accenture, and how you will be challenged and inspired from Day 1, please visit our website accenture.com/gr-en/. #LI-Hybrid About Accenture Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities. Visit us at www.accenture.com Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. Bring your incredible skills and join our global team of innovators. We come together from different backgrounds across the world and work with the latest technologies to create value and growth for our clients. With us, you’ll continue to learn and grow so you can advance in your career. Your personal dreams and ambitions are just as important to us; that’s why we offer support any way we can—when you thrive, we all thrive. Explore your next step at Accenture Belong. Grow. Thrive. Join a great place to work for reinventors who drive meaningful change for our clients, communities, and the world. Wo rld. Explore your next step at Accenture

Responsibilities

Build and maintain scalable ETL/ELT pipelines and data models to power AI, analytics, and digital products for banking. Develop data quality frameworks and cloud infrastructure on Azure to ensure reliable, production-ready data assets.