Project description
We are looking for an experienced specialist to work for one of our client from the banking industry.
Responsibilities
* Analyze, and translate complex business requirements into clear technical specifications for data-driven solutions.
* Design and support robust data pipelines, ensuring data integrity, scalability, and alignment with analytical goals.
* Act as a bridge between business stakeholders and development teams, using strong technical insight to ensure feasible, effective solutions.
* Conduct in-depth data analysis to identify patterns, trends, and opportunities that drive informed decision-making.
* Document data models, workflows, and system interfaces to support transparency and maintainability.Champion best practices in data governance, data quality, and process optimization.
SKILLS
Must have
* Primary:- Coordination skills, self-driven, collaborate with the team to design and implement AI-driven solutions- Strong focus on requirements engineering & solicitation- Prior and recent exposure to Financial Instruments / Market Data in a Banking environment,Secondary:- Experienced with integration of distributed internal and 3rd-party services (e.g. APIs be it RESTful, GraphQL, messages, data streams, MCP)- Experience with Azure Cloud and DevOps tools to deploy and maintain solutions- Experienced with Big Data (Data Lake - especially Databricks Deltalake, ETL, etc.)- Experienced with MCP (communication between agentic AI and backends) / LLM, potentially interactions between agents
Nice to have
• Experience with tools such as Jira, Confluence, and data visualization platforms is a plus.
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