Data Engineer – Qdi (Hybrid)
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Monthly Salary:
Posted on:
3 hours ago
Vacancies:
1 Vacancy
Job Summary
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 aData Engineerto join a team dedicated to deliveringdata insights and analyticsto theGlobal Markets Front Office.
This role sits close to the business working directly withsales teams traders and business sponsors transforming large volumes of data intohigh-value insightsthroughdata pipelines analytics dashboards APIs and chatbots.
You will be involved end-to-end in thedata lifecycle fromdata ingestion and ETLtodata warehousing and visualization using modern tools and an agile delivery approach.
Key Responsibilities
Data Engineering & Pipelines:Design develop maintain and supportrobust data pipelines ensuring reliability and performance.
Data Processing & Optimization:Process and optimize large datasets usingPython and SQL applying best practices in query efficiency and memory management.
Business Interaction:Act as akey point of contact for the business understanding Front Office needs and translating them into scalable data solutions.
Architecture & Quality:Ensure thatdata architecturesmeet business requirements and recommend improvements to deliverhigh-quality value-added data.
Data Delivery:Deliver insights throughTableau / Power BI dashboardsAPIs and innovative solutions such aschatbots.
Required Technical Skills
Academic background inComputer Science Engineering or related fields
Python(strong experience especiallyPandas)
SQLand solid experience withETL processes
Data Engineering / Data Analysisprofessional 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 inFinancial Marketsis a strong plus
Languages
English Fluent (mandatory)
Soft Skills
Enjoysprogramming and data challenges
Ability toexplain complex technical conceptsclearly and concisely
Proactive driven and adaptivemindset
Strong focus onautomation continuous improvement and efficiency
Keywords Must Be Clearly Listed in the CV
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
Required Experience:
IC
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
