Data Engineer

About Celfocus

Make an impact by working for sectors where technology is the enabler, everything is ground-breaking, and there’s a constant need to be innovative. Be part of the team that combines business knowledge, technological edge, and design experience. Our diverse backgrounds and know-how are key in developing solutions and experiences for digital clients. Face challenges and learn other ways of thinking and seeing the world – there’s always room for your energy and creativity.

Celfocus is pioneering the future of business through Next-Gen Intelligence – the convergence of data, AI, and human creativity to build more autonomous and adaptive organisations. Guided by our core belief – Making Data Actionable – we partner with leading companies to co-create intelligent solutions that turn data into insight, agility, and business value. Operating in over 25 countries, we bring together business experts, data scientists, and AI engineers to turn complexity into clarity and vision into measurable impact. Founded in 2000, Celfocus is part of Novabase, listed on Euronext Lisbon. To know more, visit www.celfocus.com.

About The Role: Data Engineer

The Data Engineer is responsible for building and maintaining Data Platforms, recognizing the importance of data for organizational success. This role demands a holistic view of the business while understanding intricate details. Your focus will be on designing, developing, and maintaining the data platform required for data storage, processing, orchestration, and analysis. The mission involves implementing scalable and performant data pipelines and data integration solutions, agnostic of data sources and technologies. This ensures efficient data flow and high data quality, enabling data scientists, analysts, and other stakeholders to access and analyze data effectively.

Key Responsibilities

• 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.

What We Are Looking For

• Experience with cloud platforms and services for data engineering (GCP).
• Proficiency in programming languages like Python, Java, or Scala.
• Use of Big Data Tools such as Spark, Flink, Kafka, Elastic Search, Hadoop, Hive, Sqoop, Flume, Impala, Kafka Streams and Connect, Druid, etc.
• Knowledge of data modeling and database design principles.
• Familiarity with data integration and ETL tools (e.g., Apache Kafka, Talend).
• Understanding of distributed systems and data processing architectures.
• Strong SQL skills and experience with relational and NoSQL databases.
• Familiarity with cloud platforms and services for data engineering (e.g., AWS S3, Azure Data Factory).
• Experience with version control tools such as Git.

Personal Traits

• Ability to adapt to different contexts, teams, and Clients.
• Teamwork skills but also sense of autonomy.
• Motivation for international projects and ok if travel is included.
• Willingness to collaborate with other players.
• Strong communication skills.

At Celfocus, we are committed to cultivate a diverse and inclusive workplace. As an equal-opportunity employer, we welcome applicants of all backgrounds, gender identities, and abilities. We are dedicated to providing reasonable accommodations for candidates with specific needs. If you require any adjustments during the selection process, please inform our Talent Acquisition Team.

Key skills/competency

• Data Engineering
• GCP
• Python
• Spark
• Apache Kafka
• SQL
• Data Pipelines
• ETL
• Distributed Systems
• Data Modeling