Data Engineer Analyst - Data Lake & Limits Solution

About the role

Talan, an international consulting group with over 7,200 consultants in 21 countries, is looking for a Data Engineer Analyst with at least 2 years of experience in Data Engineering or Big Data. The role joins a data-driven project focused on the development and evolution of a Data Lake and Limits solution, working remotely within the CET time zone.

Key responsibilities

• Analyze existing data models, data flows and transformation processes, and understand datasets, mappings and dependencies in the Data Lake.
• Develop, maintain and optimize Python processes, ETLs and data pipelines.
• Build and maintain Control-M jobs and batch processing workflows, and implement data ingestion, transformation and processing logic.
• Develop and adapt data models and datasets for the Limits solution, and perform SQL-based analysis, validation and reconciliation across data sources.
• Implement data quality controls, investigate and resolve data inconsistencies, and support testing, certification, deployment and production releases.
• Create and maintain technical documentation of data models, processes, mappings and transformations, and collaborate with technical and functional teams.

Required profile

• 2+ years of professional experience in Data Engineering, Big Data or similar environments.
• Solid experience with Big Data / Data Lake architectures and hands-on Python experience.
• Strong SQL skills for querying, analysis and data validation.
• Knowledge of data ingestion and transformation, and good understanding of data modeling concepts.
• English level B2 or above.
• Nice to have: Atoti / ActiveViam, Databricks, REST APIs and microservices, Jira / Confluence, financial services or banking environments, and Counterparty Risk / Limits concepts.

Required skills

• Python and SQL
• ETL development and data pipelines
• Control-M and/or batch processing
• Data analysis, validation and reconciliation

What we offer

• B2B or employment contract.
• Remote work within the CET time zone.
• Possibility to join a multicultural team and work on international projects.