Data Engineer

Há 1 mês


Lisboa, Lisboa, Portugal Capgemini Tempo inteiro

About the Role:

Capgemini Engineering is seeking a skilled Data Engineer to join their team. As a Data Engineer, you will be responsible for designing, developing, and maintaining scalable and efficient data-centric applications and systems.

Key Responsibilities:

  • Capability of assuming leadership initiatives/responsibilities
  • Design, develop, and maintain scalable and efficient data-centric applications and systems.
  • Collaborate with cross-functional teams to implement new features and enhancements in cloud environments like AWS or GCP.
  • Architect, build, and optimize data pipelines ensuring reliability, scalability, and compliance with industry standards.
  • Conduct thorough data analysis, modeling, and interpretation to drive insights and support decision-making processes.
  • Create and maintain ELT/ETL processes, focusing on data quality, reliability, and efficiency.
  • Support ongoing AI & Analytics operations and systems, interpret trends
  • Communicate findings, proposals, and technical solutions effectively to diverse stakeholders.
  • Team work in a data-driven, solution oriented and critical mind-set is greatly encouraged and valued.
  • Profiency in English is greatly valued

About You:

  • 4 or more years of experience in data engineering roles with expertise in building and maintaining data pipelines, systems, and applications.
  • Proficient in data warehouse design, implementation, and optimization, leveraging ETL/ELT processes, schema modeling, and ensuring efficient data retrieval for analytical purposes
  • Proficient in Python and one additional programming/querying language used for data engineering Java, SQL, NoSQLs or similar.
  • Hands-on experience with cloud platforms like AWS or GCP or Azure
  • Knowledge and Hands-on experience either with cloud platforms (AWS, GCP, or Azure), or in Linux OS
  • Strong understanding of data modeling, both SQL and NoSQL, with expertise in distributed systems design.
  • Experience with big data technologies such as, Spark or other distributed processing technologies and familiarity with tools like Airflow for workflow orchestration.
  • Knowledge of data governance, metadata management, and best practices in ensuring data quality and compliance.
  • Excellent communication skills and the ability to collaborate effectively in cross-functional teams.
  • Analytical mindset, attention to detail, and problem-solving skills to address complex data challenges.
  • Familiarity with Standard AI/ML processes & Operations is greatly valued.
  • Degree in computer science, software engineering, or in engineering domains.
  • Fluency in English is mandatory, and proficiency in additional languages advantageous.

What We Offer:

Our famous atmosphere:

· Theres always someone happy to start the day with a cup of coffee with you even virtually

· We are a big company with a unique atmosphere we make friendships, share important moments, and simply like each other

A lot of benefits:

· Referral bonuses for recommending your friends to Capgemini Engineering.

· Continuous training on Next*

· Offices in a great location

· Participation in international projects

· Integration in a multinational company

· Career Evolution

Location:

· Lisbon full-time and hybrid

We inform you that our recruitment process is % remote

Capgemini Engineering is an Equal Opportunity Employer. We celebrate diversity and we do not tolerate discrimination of any kind. Whether thats based on age, race, ethnicity, gender identity, citizenship, religion, sexual orientation, marital status, pregnancy, disability, veteran status.

*Capgemini has partnered with some of the worlds leading learning and development content providers, such as Pluralsight, Harvard Management or, Harvard Spark and most recently our global partnership with Coursera to create the Next digital learning platform. Next gives all Capgemini learners access to ,+ courses and 3 million learning activities from sources, empowering them to fully customize and optimize their individual learning journey. All development activities on Next are recognized internally and many externally, with numerous external certifications available free of charge.

#LI-PS5


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