Your responsibilities, Analyse and troubleshoot data across complex financial data pipelines to ensure consistency and accuracy between multiple sources, Work with modern data stack tools such as dbt (data modeling) and Airflow (orchestration) to build, maintain, and enhance data pipelines, Investigate and resolve data quality issues (e.g., missing or inconsistent data across systems and reports), Contribute to data model design and enhancements within existing pipelines, including backfilling historical data, Collaborate closely with data engineers and other analysts on shared ownership of data pipelines and applications, Work with APIs and data ingestion processes, including testing and validating data flows (e.g., using Postman), Operate within Git-based workflows (GitLab), including version control and CI/CD processes, Support reporting and analytics use cases by preparing datasets and, where needed, building dashboards, Participate in Agile ceremonies and iterative delivery of data solutions

Strong SQL skills and experience working with complex datasets, Hands-on experience or willingness to work with dbt for data modeling, Experience with cloud data environments (GCP), Experience working with orchestration tools (e.g., Airflow) or similar concepts, Experience with infrastructure-as-code tools (e.g., Terraform), Familiarity with Git and collaborative development workflows, Ability to investigate data issues across multiple systems and identify root causes, Basic scripting skills (Python) and understanding of API-based data flows, Experience with BI tools (Tableau, Power BI, Looker, or similar), Understanding of financial instruments (equities, derivatives, FX, etc.), Strong communication skills and ability to collaborate in cross-functional teams, Experience working in Agile environments (Scrum or Kanban)

Optional, Experience working with REST APIs and data ingestion pipelines, Knowledge of market data providers (Bloomberg, Refinitiv), Experience in risk or regulatory reporting (MiFID II, EMIR)

This is how we work, at the client's site, agile, scrum, kanban

SQUARE ONE RESOURCES sp. z o.o., At Square One Poland we link IT experts with the business. With over 25 years of experience, we specialize in recruitment processes on a global scale. Despite years of experience, we still have a startup DNA and this is our advantage. Our offices are located in London and Warsaw, however, we can reach clients from all over the world, from start-ups to big worldwide corporations.

This is how we work,

Your responsibilities

• Analyse and troubleshoot data across complex financial data pipelines to ensure consistency and accuracy between multiple sources
• Work with modern data stack tools such as dbt (data modeling) and Airflow (orchestration) to build, maintain, and enhance data pipelines
• Investigate and resolve data quality issues (e.g., missing or inconsistent data across systems and reports)
• Contribute to data model design and enhancements within existing pipelines, including backfilling historical data
• Collaborate closely with data engineers and other analysts on shared ownership of data pipelines and applications
• Work with APIs and data ingestion processes, including testing and validating data flows (e.g., using Postman)
• Operate within Git-based workflows (GitLab), including version control and CI/CD processes
• Support reporting and analytics use cases by preparing datasets and, where needed, building dashboards
• Participate in Agile ceremonies and iterative delivery of data solutions