Senior Data Engineer

Questa posizione è in Prometeia

Il processo di selezione sarà interamente gestito Prometeia.

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Are you curious and ready to accept a new challenge in your career? Are you eager to join a dynamic company and bring innovation through your work and skills? Prometeia offers you opportunities for growth and training in a Group with over 1000 professionals working for more than 500 clients in 20 countries around the world. Among the European leaders in Enterprise Risk Management and Wealth & Asset Management solutions, Prometeia is looking for a Senior Data Engineer for its Software House to achieve new goals in our clients’ digital innovation. We are looking for Data Engineers who can design, develop and maintain highly scalable analytical systems and who have industry experience, technical background, and a portfolio of previously developed projects. Our Software House Line (SHL) supports the digital transformation process of banks and insurance companies through the development of products able to analyze ever-increasing amounts of data of various types. In addition, characteristics such as scalability, resilience, and ability to evolve are paramount requirements for the success of a project or product.

ROLE AND RESPONSIBILITIES:

• Design, development and orchestration of scalable data pipelines to support complex analytical use cases.
• Design of new ETL processes and refactoring of existing ones to increase scalability and reliability.
• Integration of the developed solution into native or hybrid cloud environments.
• Defining specifications and technology choices in collaboration with various team stakeholders.

REQUIREMENTS:

• Bachelor’s or Master’s degree in Computer Engineering, Computer Science, Data Science or equivalent
• At least 1-2 years of experience in companies, preferably in the financial/insurance sector and in the design and implementation of high-scalability pipelines to support advanced analytical use-cases.
• Excellent knowledge of algorithms and data structures.
• Good knowledge of distributed computing frameworks for Python (e.g. Spark , Dask).
• Good knowledge of Python programming language and computational and statistical libraries and frameworks.(e.g.: pandas, numpy, ...)
• Good knowledge of relational databases (e.g., Postgres) and/or NoSQL (MongoDB).
• Experience in using code versioning systems (Git).

PREFERRED SKILLS:

• Knowledge of Data Science and Machine Learning libraries and frameworks (e.g., pytorch, scikit-learn).
• Knowledge of PaaS and SaaS solutions offered by cloud providers (Azure, AWS, GCP).
• Familiarity with Data Governance techniques, technologies and tools.
• Aptitude for design and development of maintainable, robust, and scalable code including skillful use of design patterns.
• Knowledge of containerization technologies (Docker).
• Knowledge of application deployment and orchestration systems (Kubernetes).
• Knowledge of CI-CD systems (Jenkins, Azure Devops, Github actions...)
• Ability to operate autonomously on Linux based systems.
• Knowledge of workflow management systems (e.g., Dagster, Apache Airflow, Luigi)

SOFT SKILLS:

• Aptitude for working in a flexible and dynamic team environment
• Problem-solving and relational skills
• Good knowledge of written and spoken English

LOCATION:

Bologna Are you curious and ready to accept a new challenge in your career? Are you eager to join a dynamic company and bring innovation through your work and skills? Prometeia offers you opportunities for growth and training in a Group with over 1000 professionals working for more than 500 clients in 20 countries around the world. Prometeia Advisor Sim, a leading company in financial consultancy aimed at institutional investors, is looking for a Junior Analyst to join a work team specialised in portfolio performance & risk analysis and in supporting financial advisory services for financial intermediaries.

EDUCATION AND EXPERIENCE:

• Master's degree with excellent grades in economics/finance, statistics, management, engineering;
• Solid knowledge of the functioning and dynamics of financial markets, the main investment instruments and associated risks;
• Knowledge of MS Office applications, in particular Excel and Power Point, and knowledge of programming languages and applications supporting data analysis and management (e.g.: Matlab, Python, Access, VBA);
• Experience in using the main Data Providers (Bloomberg, Refinitiv, …);
• Short work experience or studies focused on issues related to financial portfolio an