Senior Data Engineer - Real-Time Pipelines & Snowflake (Remote)

ScaleOps Search Ltd; Portugal; Híbrido; EUR 60 000 - 90 000; Tempo integral

Resumo da oferta

ScaleOps Search Ltd is partnering with a technology consultancy to hire two Senior Data Engineers for a major data modernisation programme in Portugal. You'll design, build and optimise data pipelines, focusing on batch and real-time workloads with Snowflake as the core data warehouse.

You'll work across analytics teams in Azure, Kafka/Confluent, and data modelling to deliver cloud-native solutions, ensuring data quality and performance while collaborating closely with architects and

Qualificações

• Senior Data Engineer with hands-on Snowflake experience.
• Proven ability to design scalable ETL/ELT pipelines.
• Experience with Kafka or Confluent for real-time data ingestion.
• Experience building cloud-native data platforms and pipelines.
• Strong understanding of data modelling, transformation and performance optimisation.

Responsabilidades

• Designing, building and maintaining scalable ETL/ELT pipelines
• Developing Snowflake data models and optimising performance
• Ingesting and processing real-time data with Kafka and Confluent
• Building reliable data transformation and integration processes
• Ensuring data quality, integrity and performance throughout the data lifecycle
• Working closely with architects, analysts and other technical stakeholders
• Contributing to cloud-native data solutions within an Azure environment

Conhecimentos

Snowflake expertise

Kafka/Confluent experience

Data modelling

ETL/ELT design

Azure cloud

English communication

Ferramentas

Snowflake

Kafka

Confluent

Azure

Descrição da oferta de emprego

ScaleOps Search Ltd is partnering with a technology consultancy to hire two Senior Data Engineers for a major data modernisation programme in Portugal. You'll design, build and optimise data pipelines, focusing on batch and real-time workloads with Snowflake as the core data warehouse.

You'll work across analytics teams in Azure, Kafka/Confluent, and data modelling to deliver cloud-native solutions, ensuring data quality and performance while collaborating closely with architects and