Mid Data Engineer (Lisbon/Porto) Vila Nova de Gaia

Mid Data Engineer (Lisbon/Porto)
Vila Nova de Gaia
Vila Nova de Gaia, Porto District, Portugal

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Mid Data Engineer

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to
- saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.

YOUR ROLE

• Capability of assuming leadership initiatives/responsibilities;
• Design, develop, and maintain scalable and efficient
  - centric applications and systems;
• Collaborate with
  - 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
  - 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
  - driven, solution oriented and critical
  - set is greatly encouraged and valued.
  
  

• 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, No
  SQLs 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), and/or alternatively in big data technologies such as, Spark or other;
• Strong understanding of data modeling, both SQL and No
  SQL, with expertise in distributed systems design;
• Experience with 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
  - functional teams;
• Analytical mindset, attention to detail, and
  - solving skills to address complex data challenges;
• Familiarity with Standard AI/ML processes & Operations is greatly valued;
• General knowledge in Containerization (Ex: Dockers);
• General knowledge in development best practices (CI/CD, GIT, Pipeline development, etc);
• Degree in computer science, software engineering, or in engineering domains;
• Fluency in English is mandatory, and proficiency in additional languages advantageous.
  
  

• Join a multicultural and inclusive team environment.
• Enjoy a supportive atmosphere promoting
  - life balance.
• Engage in exciting national and international projects.
• Hybrid work.
• Your career growth is central to our mission. Our array of career growth programs and diverse professionals are crafted to support you in exploring a world of opportunities.
• Training and certifications programs.
• Health and life insurance.
• Referral program with bonuses for talent recommendations.
• Great office locations.
  
  

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

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