Soldo is the proactive spend management solution that frees progressive businesses to accomplish more. We free finance with a uniquely proactive approach to managing decentralised spending. By combining a powerful spend management platform, a user-friendly app, and versatile payment methods, Soldo automates expense admin to eliminate the inefficiency in managing business spending. We're both a financial services and a software company. Our platform proactively manages decentralised spending, allowing organisations to empower employees to spend when and where it's needed, keeping productivity high while avoiding month-end surprises. Founded in 2015 by Italian digital innovator Carlo Gualandri, we have grown to become one of Europe's fastest-growing fintech companies. Today, we're over 350 strong employees, with offices in the UK, Italy and Ireland. With four offices in London, Dublin, Rome and Milan, we're helping over 25,000 organisations across 31 countries to end slow, messy, and inefficient spending, bringing financial agility and control over every expense. We're looking for people with big ambitions, cool heads, sharp minds, and warm hearts. Soldo could be the right place, size and time, for you to come and join us, as we grow together. What's in it for you Private healthcare coverage for you and your family 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 Year's Eve and your Birthday Your own personal company Soldo card Employee Assistance Programme CAF Annual Fiscal & Financial Support The role We are looking for a Data Specialist who will manage design and operations activity for our Data Warehouse and Data Lake for our data management systems. The ideal candidate has a degree in Computer Science or Engineering or another quantitative field and is adept at managing SQL and No-SQL databases and using large datasets. 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, problem-solving and working with stakeholders to implement data-driven complex solutions. Responsibilities 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 company's 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. The ideal candidate should possess most of the following skills: Bachelor's degree in Computer Science, Engineering, or a related technical field 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 or other general-purpose language; Proven experience in data management areas: data governance, data architectures, data modelling and design, data warehousing, datalake, principles of data security, data life cycle, analytical skills, knowledge of the interaction between data storage and business intelligence front-end layer; Strong problem-solving 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; It would be nice if you have: 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; Coding knowledge and experience with several programming languages. Knowledge of main concepts related to data science and machine learning. J-18808-Ljbffr