DATA ENGINEER – QDI (HYBRID)
iTRecruiterPortugal1 day ago
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DATA ENGINEER – QDI (HYBRID LISBON)
Portuguese company hires for hybrid position
📍 Location: Lisbon, Portugal (Hybrid)
⚠️ Only candidates already based in Portugal will be considered
💼 Work Model: Hybrid – Onsite / Hybrid (according to team needs)
🗣️ Language Requirements: Fluent English
🕓 Seniority: Mid-level (Data Engineering profile)
🏭 Sector: Banking
⚠️ Instructions: Please send your CV in English and make sure to include all skills and experience that match the requirements of the opportunity. This will significantly increase your chances of success
_________________________________________________________________
Role Overview
We are looking for a Data Engineer to join a team dedicated to delivering data, insights, and analytics to the Global Markets Front Office.
This role sits close to the business, working directly with sales teams, traders, and business sponsors, transforming large volumes of data into high-value insights through data pipelines, analytics, dashboards, APIs, and chatbots.
You will be involved end-to-end in the data lifecycle, from data ingestion and ETL to data warehousing and visualization, using modern tools and an agile delivery approach.
Key Responsibilities
Data Engineer, Python, Pandas, SQL, ETL, Data Pipelines, Data Engineering, Data Analysis, Tableau, Power BI, CI/CD, Jenkins, Git, Bitbucket, Financial Markets, Front Office, Global Markets, APIs, Data Warehousing, English Fluent, Lisbon
#CI - PROC26037
Portuguese company hires for hybrid position
📍 Location: Lisbon, Portugal (Hybrid)
⚠️ Only candidates already based in Portugal will be considered
💼 Work Model: Hybrid – Onsite / Hybrid (according to team needs)
🗣️ Language Requirements: Fluent English
🕓 Seniority: Mid-level (Data Engineering profile)
🏭 Sector: Banking
⚠️ Instructions: Please send your CV in English and make sure to include all skills and experience that match the requirements of the opportunity. This will significantly increase your chances of success
_________________________________________________________________
Role Overview
We are looking for a Data Engineer to join a team dedicated to delivering data, insights, and analytics to the Global Markets Front Office.
This role sits close to the business, working directly with sales teams, traders, and business sponsors, transforming large volumes of data into high-value insights through data pipelines, analytics, dashboards, APIs, and chatbots.
You will be involved end-to-end in the data lifecycle, from data ingestion and ETL to data warehousing and visualization, using modern tools and an agile delivery approach.
Key Responsibilities
- Data Engineering & Pipelines:Design, develop, maintain, and support robust data pipelines, ensuring reliability and performance.
- Data Processing & Optimization:Process and optimize large datasets using Python and SQL, applying best practices in query efficiency and memory management.
- Business Interaction:Act as a key point of contact for the business, understanding Front Office needs and translating them into scalable data solutions.
- Architecture & Quality:Ensure that data architectures meet business requirements and recommend improvements to deliver high-quality, value-added data.
- Data Delivery:Deliver insights through Tableau / Power BI dashboards, APIs, and innovative solutions such as chatbots.
- Academic background in Computer Science, Engineering, or related fields
- Python (strong experience, especially Pandas)
- SQL and solid experience with ETL processes
- Data Engineering / Data Analysis professional experience
- Data process optimization (efficient queries, memory usage)
- Git (preferably Bitbucket)
- Data visualization tools (Tableau, Power BI, or similar)
- CI/CD pipelines (Jenkins)
- Interest or knowledge in Financial Markets is a strong plus
- English – Fluent (mandatory)
- Enjoys programming and data challenges
- Ability to explain complex technical concepts clearly and concisely
- Proactive, driven, and adaptive mindset
- Strong focus on automation, continuous improvement, and efficiency
Data Engineer, Python, Pandas, SQL, ETL, Data Pipelines, Data Engineering, Data Analysis, Tableau, Power BI, CI/CD, Jenkins, Git, Bitbucket, Financial Markets, Front Office, Global Markets, APIs, Data Warehousing, English Fluent, Lisbon
#CI - PROC26037
Key Skills
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