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Senior Engineer, Data-driven Transformation

Requisition Number:  18736
Contract Type:  Permanent
Location(s): 

Chennai, IN


Senior Engineer, Data-driven Transformation

ROLE DESCRIPTION SUMMARY

This is an opportunity for high-performance individuals who want to understand the whole picture of how digital and data-driven transformation affects businesses and shapes organizations. As part of SES’s global Data & Integration Services function, you’ll join the team driving the Data-Driven Organization (DDO) initiative of highly diversified and collaborative people, applying generalist problem-solving skills to strategic questions. You will have an opportunity to participate in the Digital Transformation of a Technology company by keeping a start-up mindset, problem-solving attitude, management consulting approach, and a passion for data-driven thinking. You will be on a mission to build, disseminate and support a strong data-driven decision-making culture in the company, enabling business efficiency and innovation. Data Science, Data Governance, Data Quality and AI will be key themes you get involved in.

 

PRIMARY RESPONSIBILITIES / KEY RESULT AREAS

  • Supporting the development and execution of the transformation roadmap – strategy, planning, defining KPIs, process re-engineering, and driving tech-innovation.
  • Supporting project management activities
  • Leading the initiatives fairly independently staying responsible for end-to-end initiatives keeping the customer at the center and using lean start-up-based methodologies.
  • Researching new solutions and help develop the thought leadership of the team by maintaining the key trends, technologies, and developments.
  • Coordinating parts of the daily business and being the contact person for (internal and external) stakeholders.
  • Supporting and leading change management activities of different kinds, primarily social media and content creation.
  • Gathering and analyzing information, formulating and challenging ideas, and developing and communicating recommendations.
  • Experiencing the end-to-end data pipeline. From identifying and integrating new data sources, through modeling and transformation to exploitation. Whether that be a business intelligence dashboard, data science research project, or predictive model.
  • Hands-on activities on topics like Data Quality, Governance, Engineering, and Business Intelligence based on your background and interests.
  • Engaging in bottom-up projects and supporting project delivery and operational activities.
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COMPETENCIES

  • Outstanding analytical and problem-solving skills
  • Strong understanding of various technologies around data management, analytics, and AI
  • Well-versed in data governance frameworks and their practical application in a business environment
  • Start-up mindset and management consulting approach
  •  A passion for data-driven thinking
  • Willingness to quickly learn new methodologies, applications and tools
  • Ability to thrive in an agile environment, embracing and driving change
  • Very communication and presentation skills
  • Excellent interpersonal skills. Ability to effectively respond to, interact and challenge all levels of the organization

QUALIFICATIONS & EXPERIENCE

  • Internationally recognized university degree in Computer Science or Engineering
  • Have 3-10 years of experience working (preferred but not a showstopper):
    • with a consulting firm, ideally around digital transformation, data & analytics topics
    • in a corporate role focused on data & analytics, data governance, digital areas (e.g., business analyst)
    • in a tech start-up firm
    • or in a data-driven product company
  • Experience with cloud-based Data Platform infrastructure and resources
  • Proven technical hands-on knowledge of various technologies around data management, analytics, and AI
  • Fluency in written and oral English. Other languages are considered as valuable assets
  • Experience of working in an international business environment.
  • An Azure certification is an asset especially within Data Engineering and/or Science.
  • Knowledge about AI/ML and experience with applied AI solutions is an asset.

Embark on a career with us, where diversity isn't just a buzzword – it's our driving force. We are crafting a workplace mosaic that values every hue, background, and perspective. Join a global team where inclusivity sparks innovation, and individuality is not only embraced but celebrated. At SES we are committed to hiring inspiring individuals from all backgrounds. We take great pride in creating safe and inclusive processes and we support the recruitment, retention, and evolution of all employees irrespective of gender, colour, race, ethnicity, religion, sexual orientation, disability, veteran or marital status, background or walk in life.

SES is an Equal Opportunity Employer and welcomes diversity!

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