Data Architect

4 meses atrás

Lisboa, Portugal Capgemini Engineering Tempo inteiro

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 life-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**- Collaborate closely with stakeholders to define data strategies and roadmaps, aligning them with business objectives and ensuring their successful execution.
- Support the team by implementing complex functions
- Architect robust, scalable, and high-performance data solutions while ensuring compliance with industry standards and best practices.
- Provide expert-level guidance on data analysis, modeling, and interpretation, driving strategic decision-making processes within the organization.
- Oversee the implementation of advanced ETL/ELT processes while emphasizing data quality, reliability, and efficiency improvements.
- Drive innovation in data infrastructure and methodologies, constantly seeking ways to optimize costs and enhance performance.
- Collaborate effectively across departments, offering thought leadership and presenting technical solutions to diverse stakeholders.

**YOUR PROFILE**
- 8 or more years of experience in progressively responsible data engineering roles, showcasing leadership and mentorship qualities.
- Extensive proficiency in data warehouse design, implementation, and optimization, demonstrating expertise in complex problem-solving and architectural decisions.
- Advanced proficiency in multiple programming languages used for data engineering, showcasing versatility and adaptability to varied tech stacks (Python and SQL is mandatory)
- Extensive hands-on experience with multiple cloud platforms and services in AWS, GCP, or Azure, demonstrating expertise in leveraging various cloud services.
- Extensive knowledge operating systems (Linux preferable).
- Deep understanding and proven expertise in data modeling, including experience in designing and implementing complex distributed systems.
- Extensive experience with big data technologies, having led or contributed significantly to large-scale data processing projects.
- Demonstrated thought leadership in data governance, metadata management, and establishing best practices for ensuring data quality and compliance.
- Outstanding communication skills with a proven ability to effectively convey complex technical concepts to diverse audiences.
- Strategic mindset with a track record of influencing decision-making processes and driving organizational data strategies.
- Familiarity with Standard AI/ML processes & Operations is greatly valued.
- Degree in computer science, software engineering, or in other engineering domains.
- Fluency in English is mandatory, and proficiency in additional languages is beneficial.

**WHAT YOU’LL LOVE ABOUT WORKING HERE**
- Join a multicultural and inclusive team environment.
- Enjoy a supportive atmosphere promoting work-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.

**ABOUT CAPGEMINI**

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

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