Data Engineer

Talan

2d•Remote

About The Position

Talan is seeking a Data Engineer Analyst with at least two years of experience in Data Engineering or Big Data environments. The role supports a data-driven project focused on developing and evolving a DataLake and Limits solution. The successful candidate will combine hands-on skills in Python, SQL, ETL development, and data pipelines with the ability to understand complex data models, transformations, dependencies, and data quality requirements. The position involves analyzing and working with existing datasets, data flows, mappings, and dependencies; developing and optimizing data processing solutions; and supporting testing, deployment, and production releases. The role also requires creating technical documentation and collaborating with technical and functional teams so that solutions meet business and technical requirements. The position is remote within the CET time zone. Talan offers either a B2B or employment contract and the opportunity to work with a multicultural team on international projects.

Requirements

At least 2 years of professional experience in Data Engineering, Big Data, or similar environments.
Solid experience with Big Data/DataLake architectures.
Strong SQL skills for querying, analysis, and data validation.
Hands-on experience with Python.
Experience developing ETL processes.
Knowledge of data ingestion and transformation processes.
Experience developing and maintaining data pipelines.
Good understanding of data modeling concepts.
Experience with Control-M and/or batch processing.
Strong skills in data analysis, validation, and reconciliation.
English level B2 or above.

Nice To Haves

Experience or knowledge of Atoti/ActiveViam.
Experience or knowledge of Databricks.
Experience or knowledge of REST APIs and Microservices.
Experience or knowledge of Jira/Confluence.
Experience in financial services or banking environments.
Knowledge of Counterparty Risk/Limits concepts.

Responsibilities

Analyze and understand existing data models, data flows, and transformation processes.
Understand existing datasets, mappings, and dependencies within the DataLake.
Develop, maintain, and optimize Python processes, ETLs, and data pipelines.
Build and maintain Control-M jobs and batch processing workflows.
Implement data ingestion, transformation, and processing logic.
Develop and adapt data models and datasets required for the Limits solution.
Perform SQL-based data analysis, validation, and reconciliation across multiple data sources.
Implement data quality controls and investigate and resolve data inconsistencies.
Support testing, certification, deployment, and production releases.
Create and maintain technical documentation covering data models, processes, mappings, and transformations.
Collaborate with technical and functional teams to ensure data solutions meet business and technical requirements.