Senior Data & AI Engineer - Tech Lead(Data Engineer)

About the job you’re considering
As a Tech Lead, you will build distributed data processing solution and highly loaded database solutions for various businesses cases including reporting, product analytics, marketing optimization and financial reporting. Lead a team of experienced data engineers working on the foundation for decision-making at a company dealing with billions of events per day. Contribute as part of R&D self-organized team working in a challenging, innovative environment for our client.
Investigate, create, and implement the solutions for existing technical challenges. Provide guidance, instruction, direction, leadership to a development team with the purpose of achieving project goals.

Your role

• Ensures effective communication between all stakeholders related to team’s area of responsibility and deliveries.
• Ensure high quality development standards (unit/integration tests, etc.)
• Ensures the team follows the established development process and takes end-to-end ownership of their areas of responsibility and assigned tasks.
• Reports about area readiness/quality and raises red flags in crisis situations beyond his/her AOR. Responsible for resolving crisis situations within his/her AOR.
• Participates in software development implementation work.
• Prepares functional and design specifications of computer-based systems.
• Mentors more junior team members.
• Ensures the project team is provided with all required technical tools for efficient project delivery.
• Responsible for accurate vacation, holiday planning and forecasts of a team according to delivery milestones and releases.
• Oversee and evaluate team members’ performance according to established procedures.

Your skills and experience

• Bachelor’s degree in computer science, Information Technology, or a related field.
• Minimum of 8 years of experience as a Data Engineer, with at least 2 years in a technical leadership role.
• 5+ years of hands-on experience in Python development.
• Proven track record of 3+ years in data migration projects, including planning and execution.
• 3+ years of experience with ETL orchestration and workflow management tools such as Apache Airflow or Oozie.
• Strong expertise in Apache Spark, Snowflake, and Databricks.
• Deep understanding of database fundamentals, SQL, and distributed computing architectures.
• Excellent communication skills with the ability to collaborate effectively across technical and non-technical teams.
• Experience in AWS (EC2/S2/IAM)
• Demonstrated ability to lead and mentor engineering teams.
• Ability to successfully complete coding assessments (e.g., HackerRank).
  

Life at Capgemini

Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:

• Flexible work
• Healthcare including dental, vision, mental health, and well-being programs
• Financial well-being programs such as 401(k) and Employee Share Ownership Plan
• Paid time off and paid holidays
• Paid parental leave
• Family building benefits like adoption assistance, surrogacy, and cryopreservation
• Social well-being benefits like subsidized back-up child/elder care and tutoring
• Mentoring, coaching and learning programs
• Employee Resource Groups
• Disaster Relief

About Capgemini

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to
engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.1 billion.

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Disclaimer

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.

Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

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Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini.