BIG DATA ENGINEERJUNIOR (HYBRID LISBON)
Portuguese company hires for hybrid position
Location: LisbonPortugal
Only candidates already basedin Portugal will be considered
Work Model: Hybrid
Language Requirements:English C1 (mandatory) Portuguese B1/B2 (preferred)
Seniority: Júnior (13years)
Sector: Banking
Instructions: Please send yourCV in English and make sure to include all skills and experience that match therequirements of the opportunity. This will significantly increase your chancesof success.
Role Overview
You will be part of a data-driven team working onlarge-scale financial datasets contributing to the development andmaintenance of Big Data pipelines. The role involves data ingestiontransformation and quality control supporting analytics and modellingprocesses in a distributed environment.
Key Responsibilities
- Perform data collection ingestion and transformation
- Ensure data quality consistency and validation
- Develop and maintain data pipelines using Big Data technologies
- Work with Dataiku DSS PySpark Hive and Hadoop ecosystems
- Support data consolidation and analytical frameworks
- Contribute to data preparation and cleaning processes
- Collaborate with teams to support data modelling and analytics use cases
Must-Have Skills
- Strong knowledge of Python and SQL
- Understanding of Big Data ecosystems (Hadoop Hive Spark)
- Experience or exposure to data processing and ETL concepts
- Familiarity with data quality and data preparation techniques
Nice to Have
- Experience with Dataiku DSS (Data Science Studio)
- Exposure to financial data or risk-related domains
- Understanding of data modelling concepts
Soft Skills
- Strong teamwork and collaboration mindset
- Client-oriented approach
- High level of autonomy and adaptability
- Strong ethical standards and responsibility
- Results-driven attitude
Why Join
- Work in a modern Big Data environment
- Gain experience with distributed data processing technologies
- Be part of an international and collaborative team
- Contribute to high-impact data and analytics projects
- Build a strong foundation in data engineering and analytics
Keywords
Big Data Engineer Data Engineering Python SQL PySparkHadoop Hive Dataiku ETL Data Pipelines Data Quality Data ProcessingAnalytics Distributed Systems
#CI - PROC2619812
Required Experience:
Junior IC
BIG DATA ENGINEERJUNIOR (HYBRID LISBON)Portuguese company hires for hybrid position Location: LisbonPortugal Only candidates already basedin Portugal will be considered Work Model: Hybrid Language Requirements:English C1 (mandatory) Portuguese B1/B2 (preferred) Seniority: Júnior (13years) Sector:...
BIG DATA ENGINEERJUNIOR (HYBRID LISBON)
Portuguese company hires for hybrid position
Location: LisbonPortugal
Only candidates already basedin Portugal will be considered
Work Model: Hybrid
Language Requirements:English C1 (mandatory) Portuguese B1/B2 (preferred)
Seniority: Júnior (13years)
Sector: Banking
Instructions: Please send yourCV in English and make sure to include all skills and experience that match therequirements of the opportunity. This will significantly increase your chancesof success.
Role Overview
You will be part of a data-driven team working onlarge-scale financial datasets contributing to the development andmaintenance of Big Data pipelines. The role involves data ingestiontransformation and quality control supporting analytics and modellingprocesses in a distributed environment.
Key Responsibilities
- Perform data collection ingestion and transformation
- Ensure data quality consistency and validation
- Develop and maintain data pipelines using Big Data technologies
- Work with Dataiku DSS PySpark Hive and Hadoop ecosystems
- Support data consolidation and analytical frameworks
- Contribute to data preparation and cleaning processes
- Collaborate with teams to support data modelling and analytics use cases
Must-Have Skills
- Strong knowledge of Python and SQL
- Understanding of Big Data ecosystems (Hadoop Hive Spark)
- Experience or exposure to data processing and ETL concepts
- Familiarity with data quality and data preparation techniques
Nice to Have
- Experience with Dataiku DSS (Data Science Studio)
- Exposure to financial data or risk-related domains
- Understanding of data modelling concepts
Soft Skills
- Strong teamwork and collaboration mindset
- Client-oriented approach
- High level of autonomy and adaptability
- Strong ethical standards and responsibility
- Results-driven attitude
Why Join
- Work in a modern Big Data environment
- Gain experience with distributed data processing technologies
- Be part of an international and collaborative team
- Contribute to high-impact data and analytics projects
- Build a strong foundation in data engineering and analytics
Keywords
Big Data Engineer Data Engineering Python SQL PySparkHadoop Hive Dataiku ETL Data Pipelines Data Quality Data ProcessingAnalytics Distributed Systems
#CI - PROC2619812
Required Experience:
Junior IC
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