Data Engineer at Quant Master Servicer S.A.

Athens, Attica, Greece -

Full Time

Start Date

Immediate

Expiry Date

12 Mar, 26

Salary

0.0

Posted On

12 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, SQL, APIs, ETL Tools, Python, Data Manipulation, Data Quality, Data Validation, Data Cleansing, Data Transformation, Collaboration, Testing, Problem Solving, Analytical Skills, Attention to Detail, Data Governance

Industry

Financial Services

Description

Quant Greece is a Fitch-rated, independent domestic NPL servicer managing c.€10bn across all asset classes, offering coherent E2E debt management solutions to financial constituents and institutional investors in Greece. Are you ready to make an impact in the finance industry? As a Data Engineer, you will report to the Business Application & Integrations Manager, and you will play a vital role in facilitating integration between various business applications and data sources to improve efficiency, streamline workflows and enhance overall performance. A day in the life of a Data Engineer will include: Assisting as a liaison between business stakeholders and technical teams to understand data requirements and deliver data solutions that meet business needs; Developing processes to extract data from source systems, transform data into a usable format, and load data into target systems; Ensuring data consistency and data quality by implementing data validation checks, data cleansing techniques; Transforming data from various sources into usable formats; Collaborating with Datawarehouse for automating data sources; Conducting thorough testing and resolving any issues before live implementation; Providing ongoing support for the implemented solutions. Ensuring that all activities and duties are carried out in full compliance with regulatory requirements and supporting the continued implementation of the Group Anti-Bribery and Corruption Policy. A BSc degree in Computer Science, Engineering, or a related subject; Proven experience in data engineering or a related role for at least 2 year, preferably in the banking and recoveries sector; Strong knowledge of SQL; Excellent knowledge of APIs both from implementation and infrastructure terms; Proficiency in ETL tools and mechanisms; Experience with Python for data manipulation and automation; English fluency and strong communication skills, both verbal and written. What is considered a plus Understanding of interaction between different systems; Strong analytical, problem solving and organizational skills; Attention to detail and high level of ownership; Knowledge of industry best practices in data governance will be considered as an asset. Your Life @ Quant This role is a office-based opportunity in Athens. As a #Qmember, you will live out every day in a truly human-centred culture, based on mutual respect, trust, and cooperation. Your performance and commitment to our shared goals will be recognized, and there will be great opportunities to ensure your career growth. Find out more about #LifeatQuant 👉🏼 qualco.group/life_at_qualco_group Your benefits Join the #Qteam and enjoy: 💸 Competitive compensation, Meal vouchers, and annual bonus programs. 💻 Cutting-edge IT equipment, mobile phone, and data plan. 🏢 Modern facilities, free coffee, beverages, and indoor parking. 👨‍ Private health insurance, occupational doctor and nutritionist. 🤸‍ Onsite gym, wellness facilities, and ping pong room. 💡 Career and talent development tools. 🎓 Mentoring, coaching, personalized annual learning, and development plan. 🌱 Employee referral bonus, regular wellbeing, ESG, and volunteering activities. At QUANT, we value diversity and inclusivity. Your race, gender identity and expression, age ethnicity, or disability make no difference in Quant. We want to attract, grow and retain the best people based only on their ability and behavior. Application Note: All CVs and application materials should be submitted in English to be considered for this position. Disclaimer: QQuant collects and processes personal data in accordance with the EU General Data Protection Regulation (GDPR). We are bound to use the information provided within your job application for recruitment purposes only and not to share these with any third parties. For more details on the processing of your personal data during the Recruitment procedure, please be informed in the Recruitment Notice, before the submission of your application.

Responsibilities

The Data Engineer will facilitate integration between various business applications and data sources to improve efficiency and streamline workflows. Responsibilities include developing processes for data extraction, transformation, and loading, as well as ensuring data quality and providing ongoing support for implemented solutions.