Descrição da Empresa

Step into a dynamic ecosystem where the future of business is created and lived every day. Be part of it! At LUZA Group, passion, perseverance, and the drive to excel define our path to success. Founded in 2006, we are a Portuguese multinational with over 1,200 talented professionals and a turnover surpassing 30M. With a strong presence in key markets (Portugal, Spain, Morocco, Brazil, Mexico, the United States, and China) we deliver innovative solutions in engineering, IT, design, consulting, Industry 4.0, training, and recruitment. Our people and their talent power everything we do. This is a moment of growth and opportunity. The future belongs to visionary minds. Will you join us?

Descrição da Função

Job Title: Data Engineer | GCP Location: Oporto/Lisbon, Portugal Work Regime: Full-time & Hybrid Overview / Summary: We are looking for a Data Engineer responsible for building and maintaining data platforms, recognizing the importance of data for the organization in areas where it is key to success. The role focuses on designing, developing, and maintaining the data platform required for data storage, processing, orchestration, and analysis, as well as implementing scalable and performant data pipelines and data integration solutions. The position is agnostic of data sources and technologies to ensure efficient data flow and high data quality, enabling data scientists, analysts, and other stakeholders to access and analyze data effectively. Responsibilities and Tasks: Design, build, and maintain scalable data platforms. Collect, process, and analyze large and complex data sets from various sources. Develop and implement data processing workflows using data processing framework technologies such as Spark and Apache Beam. Collaborate with cross-functional teams to ensure data accuracy and integrity. Ensure data security and privacy through proper implementation of access controls and data encryption. Extract data from various sources, including databases, file systems, and APIs. Monitor system performance and optimize for high availability and scalability.

Perfil

• Experience with cloud platforms and services for data engineering (GCP).
• Experience with Big Data tools such as Spark, Flink, Kafka, Elastic Search, Hadoop, Hive, Sqoop, Flume, Impala, Kafka Streams and Connect, Druid, etc.
• Experience with relational and NoSQL databases.
• Experience with data integration and ETL tools (e.g., Apache Kafka, Talend).
• Experience with version control tools such as Git.
• Ability to adapt to different contexts, teams, and clients.
• Teamwork skills with a sense of autonomy.
• Motivation for international projects and openness to travel.
• Willingness to collaborate with other players.
• Strong communication skills.
• Python, Java, or Scala.
• Spark, Apache Beam.
• Flink, Kafka, Elastic Search, Hadoop, Hive, Sqoop, Flume, Impala, Kafka Streams and Connect, Druid.
• SQL.
• Relational and NoSQL databases.
• Cloud platforms (GCP, AWS S3, Azure Data Factory).
• Git.
• Knowledge of data modeling and database design principles.
• Understanding of distributed systems and data processing architectures.

Oferta

• Our company does not sponsor work visas or work permits. All applicants must have the legal right to work in the country where the position is based.
• Only candidates who meet the required qualifications and match the profile requested by our clients will be contacted.

Localização

• Largo Luís de Camões Piso 7, Oliveira de Azeméis, Aveiro, pt, 3720-232