Data Management Specialist

Soldo is the proactive spend management solution that frees progressive businesses to accomplish more.

• Competitive salary
  
• Private healthcare coverage for you and your family
  
• Lunch Vouchers
  
• Genuine career development opportunities (we love to see you succeed) including your own annual 500 career development budget
  
• Access to training and development including a mentoring programme workshops and the opportunity to progress onto our leadership programme
  
• Flexible working options including working from home or our Milan or Rome offices 60 days work anywhere
  
• Statutory Leave entitlements plus extra days off on Christmas Eve New Years Eve and your Birthday
  
• Your own personal company Soldo card
  
• Employee Assistance Programme
  
• CAF Annual Fiscal & Financial Support
  

The ideal candidate has a degree in Computer Science or Engineering or another quantitative field is adept at managing SQL and NoSQL databases and using large data sets. They must have strong experience using MySQL databases ETL procedures and Data Integration technologies. The right candidate will have a passion for managing systems and data problemsolving and working with stakeholders to implement datadriven complex solutions.

The candidate will support and develop all analysis and development activities on the company data warehouse data lake and other automatic systems related to data management. They will therefore be responsible for carrying out data analysis (SQL and NoSQL) designing data marts and ETL processes in compliance with the companys quality and security standards also ensuring high processing performance. They will work closely with BI experts and Data scientists and will ensure the release of data with high levels of accuracy. At the same time the candidate will be able to provide important insights derived from the data which will guide the most important business decisions. They will be able to carry out very thorough tests on each component developed and released.

• Bachelors degree in Computer Science Engineering or a related technical discipline with 3 years of experience;
  
• Experience querying databases and using SQL language;
  
• Strong Knowledge of ETL architectures and ETL strategies;
  
• Strong knowledge of relational databases;
  
• Strong teamwork ability: ability to clearly communicate results curiosity.
  
• Strong Familiarity with Microsoft Excel or other BI tools in order to analyse datasets and present data insights;
  
• Proven Experience with Python Programming;
  
• Proven experience in data management areas: data governance data architectures data modelling and design data warehousing data lake principles of data security data life cycle analytical skills knowledge of interaction between data storage and business intelligence front end layer;
  
• Strong problemsolving skills with an emphasis on process optimization;
  
• Ability to design comprehensive software and data analysis test cases;
  
• Good knowledge of Unix shell programming;
  
• Good knowledge of the English language (both written and spoken);
  
• Knowledge of NOSQL databases;
  

• Experience using web and cloud services (i.e. AWS S3).
  
• Experience with distributed data/computing tools: Map/Reduce Hadoop Hive Spark Gurobi MySQL etc.
  
• Experience querying databases and using statistical computer languages: R Python Matlab;
  
• Database administration experience in a MySQL/Aurora environment.
  
• Coding knowledge and experience with several programming languages.
  
• Knowledge of main concepts related to data science and machine learning.