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Data Engineer, SAS

Job not on LinkedIn

🔥 2 minutes ago

🇵🇹 Portugal – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

Where this job comes from

Posted on bridge351's careers page, not through a job board

First seen by Remote Rocketship 2 minutes ago

Logo of bridge351

bridge351

51 - 200 employees

Founded 2021

🎯 Recruiter

🤝 B2B

Recruitment • B2B

Bridge351 is a Europe-focused recruitment firm that publishes and manages job openings for IT and technology roles. Its site shows active listings for positions such as Azure Cloud Engineer, Senior Java Backend Developer, Cybersecurity Project Manager, IT Recruiter and Business Manager, and provides candidate and employee portals (SSO) and career management via Teamtailor. The website emphasizes recruiting activity across multiple European locations (Lisbon, Porto, Poland, Luxembourg, Brussels, Denmark, Germany, Netherlands) and appears focused on hiring and placing technical talent for employers.

📋 Description

• Work directly with business teams to understand their needs, processes and business rules • Analyse and interpret existing SAS code and processes, identifying data sources, transformations, dependencies and outputs • Document processes and business rules relevant to future migration • Help define the approach for migrating SAS processes to Databricks/Fabric • Support development, testing and validation of migrated processes • Compare results between SAS and Databricks/Fabric platforms • Liaise with technical and business teams to clarify questions and ensure solutions meet requirements

🎯 Requirements

• Hands-on experience maintaining SAS processes • Ability to analyse and interpret SAS code written by others • Experience gathering requirements and working directly with business teams • Solid knowledge of SQL and data processing and transformation • Experience documenting processes, business rules and data flows • Basic knowledge of Databricks, particularly for data processing and transformation • Strong communication skills, autonomy and a collaborative mindset • Experience with Python and/or PySpark (nice to have) • Experience in data platform migration or modernisation projects (nice to have) • Experience validating and reconciling data across systems (nice to have) • Knowledge of data pipelines and ETL/ELT processes (nice to have) • Experience with Databricks (nice to have)

🏖️ Benefits

• 100% Remote opportunities • Flexible work location • International career and professional growth opportunities • Health and Life Insurance • Tech Visa support for candidates outside the European Union • Professional, dynamic and collaborative team environment

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