Data Engineer

🔥 25 minutes ago

🇪🇸 Spain – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

🚰 Data Engineer

🚫👨‍🎓 No degree required

👻 Ghost score 11%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Just posted.
• Jobs at this company usually fill in 21 days.
• No salary listed.

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Talan

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2003

💼 Consulting

🏢 Enterprise

☁️ SaaS

💰 Secondary Market on 2020-07

Consulting • Enterprise • SaaS

Talan is a global company specializing in supporting organizations through positive innovation and transformation. With a presence in 18 countries across 5 continents, Talan offers a diverse range of solutions that enhance decision-making, integrate technology into business strategies, and reinvent business models for resilience and operational excellence. Talan excels in data management and governance, AI-powered solutions, cybersecurity, and cloud platforms. By partnering with leading technology providers like Microsoft, SAP, Oracle, and Salesforce, Talan aims to democratize data use and drive low-carbon transitions. The company also focuses on industries such as energy, transport, financial services, and more, providing insights and solutions tailored to the specific needs of these sectors.

📋 Description

• 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

🎯 Requirements

• 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 • Atoti / ActiveViam, Databricks, REST APIs and Microservices, Jira / Confluence, financial services or banking environments, and Counterparty Risk / Limits concepts are considered a plus

🏖️ Benefits

• B2B or employment contract • Remote within CET Time zone • Possibility to be part of a multicultural team • Work on international projects

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