Senior Data Engineer

ManpowerGroup Greece, on behalf of its client, a leading FinTech Solutions Provider, is looking for an experienced Senior Data Engineer

Workplace Location: Athens – Northern Suburbs, Hybrid Working Model

You will be responsible for designing and optimizing the department’s current and future data related solutions and act as a champion for data integrity, consistency and reusability within all areas of analytics, by adopting a product-oriented approach to the creation of analytics deliverables

• Work closely with data engineers, data analysts and business team on data initiatives and ensure optimal data delivery architecture is consistent throughout ongoing projects
• Design, implement, maintain, monitor and optimize current and future data/reporting/analytics platforms/solutions in order to address data related needs
• Understand and promote data framework best practices and key technologies so as to effectively support existing and future business requirements
• Integrate, transform, and consolidate data from various structured and unstructured data systems in order to make them available for reporting/analytics solutions
• Set up and maintain automated processes according to the business requirements i.e., invoicing process
• Identify areas to increase efficiency and automation of processes

Requirements

• BSc degree in Computer Science, Information Technology, or a related subject
• 5+ years’ experience in data analysis
• Proven experience as a Data Engineer
• Strong knowledge of writing queries, stored procedures, views, functions and triggers for Microsoft SQL Server (T-SQL)
• Strong knowledge of SQL Server Database Tuning and Query Optimization techniques
• Experience with analysis, design, and development of large high-performance databases
• Experience with ETL tools (ssis klp) and architectures (noETL, passive/active ETL)
• Exceptional attention to quality, detail, and be comfortable working as part of an extended team on an agile delivery plan
• Resourceful, creative, self-motivated and eager to learn
• English fluency and strong communication skills, both verbal and written
• Other desirable attributes include:
• Work experience in credit or debit portfolio data management, analytics or reporting
• Experience in working with multidimensional databases (e.g., MS Analysis Services)
• Familiarity with statistical tools and predictive modelling concepts

Any experience in the following will be highly appreciated:

• Knowledge of Python and/or other OOP languages
• Knowledge of R statistical language
• Knowledge and experience on Data Warehouse design as well as OLAP/OLTP systems

Benefits

• Competitive salary and private health insurance plan
• Mobile telephony and data plan
• Free coffee and beverages
• Educational expenses for courses, certifications and books