Senior Data Engineer: Big Data & Data Platform Leader

Axians | Digital Solutions - Tech Talent; Lisboa; Presencial; EUR 60 000 - 90 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health insurance

Performance bonuses

Career development training

Employee assistance program

Resumo da oferta

Axians is seeking a Senior Data Engineer to design, implement, and validate Data Warehouse and Data Hub solutions in enterprise environments. You will develop raw data ingestion pipelines, ensure data quality and governance, and optimize large-scale ETL processes.

The role requires strong SQL/NoSQL skills, Hadoop ecosystem knowledge, and hands-on experience with Kafka, NiFi, Java/Scala/Python, Spark, Hive, and BI tools.

Qualificações

• Degree in Computer Engineering, Information Technology or related field.
• 6+ years in data engineering, Data Warehouse or Big Data environments.
• 4+ years in functional/technical analysis and data models.
• Experience across Data Warehouse lifecycle from analysis to testing.
• Agile experience with Jira/Confluence/Draw.io.
• Strong communication and stakeholder management; banking experience is a plus; English/Portuguese proficiency.

Responsabilidades

• Analyze, design, implement, and validate Data Warehouse and Data Hub solutions.
• Develop and maintain raw data ingestion pipelines for quality and governance.
• Build, optimize, and support ETL processes and large-scale data integration.
• Participate in analysis, documentation, testing, and UAT follow-up.
• Collaborate with stakeholders to define and improve data platforms and services.

Conhecimentos

SQL & NoSQL

Big Data Hadoop

Kafka & NiFi

Java/Scala/Python

Spark & Hive

ETL & Bash

DevOps for data

Formação académica

Bachelor’s or Master’s in Computer Engineering/Information Technology

Ferramentas

Jira

Confluence

Draw.io

Descrição da oferta de emprego

Axians is seeking a Senior Data Engineer to design, implement, and validate Data Warehouse and Data Hub solutions in enterprise environments. You will develop raw data ingestion pipelines, ensure data quality and governance, and optimize large-scale ETL processes.

The role requires strong SQL/NoSQL skills, Hadoop ecosystem knowledge, and hands-on experience with Kafka, NiFi, Java/Scala/Python, Spark, Hive, and BI tools.