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Senior Data Integration Engineer

Hybrid in Portugal: Lisbon

We are seeking a driven and experienced Senior Data Integration Engineer to lead the design and implementation of robust data pipelines and build a scalable data foundation. This role focuses on maintaining data reliability, optimizing system integration, and ensuring high-quality data solutions across diverse platforms.

Responsibilities
  • Drive the design, development, and optimization of ETL/ELT pipelines
  • Design, deploy and maintain scalable and efficient data foundation
  • Ensure high data quality and availability for analytics and reporting
  • Ensure appropriate storage of data in line with relevant legislation and organizational policies
  • Build-in security, compliance, scalability, efficiency, reliability, fidelity, flexibility, and portability into data solutions
  • Collaborate with stakeholders to meet data requirements and deliver solutions
  • Provide mentorship to junior data engineers
Requirements
  • Minimum 3 years of experience in data engineering or similar role
  • Certification in relevant technologies (e.g., AWS Certified Data Analytics, Snowflake SnowPro Core Certification)
  • Background in machine learning and data mining techniques
  • Proficiency with data governance and data management best practices to ensure data quality and compliance
  • Understanding of Agile development methodologies
  • Competency in domains such as Finance, Consumer, Commercial, P&C, Supply Chain, Product, and Life Sciences
  • Expertise in data from Salesforce, DCE (Digital Consumer Engagement), ERP, and Finance Systems
  • Showcase of Snowflake skills: Data warehousing, data integration, and data transformation
  • Proficiency with Amazon AWS tools: S3, Redshift, Glue, Lambda, EMR, and other AWS data services
  • Familiarity with open-source technologies like Apache Kafka, Apache Spark, and other relevant tools
  • Deep expertise in SQL and NoSQL databases
  • Flexibility to use data visualization tools to monitor pipeline performance
  • Strong understanding of data security and compliance standards
  • Excellent problem-solving and analytical capabilities
  • Strong communication and collaboration skills, with English proficiency at a B2 level or higher
Nice to have
  • Data build tool (dbt) skills: Data transformation and modeling
  • Matillion: ETL processes and data transformation