C

Capgemini

Global consulting, technology services, outsourcing

Senior Data Engineer

Data EngineeringUpdated on Nov 14
Full-timeNo salary listed

About the Job

Requirements

  • Experience across a number of data engineering technical areas, including data integration and ETL/ELT development; SQL and database technologies; data modelling and data transformation; cloud data platforms such as Azure, AWS, or GCP; data warehousing and analytics platforms; CI/CD pipelines and DevOps practices; Git and modern source control practices; and data quality and data governance principles.
  • A strong understanding of test principles, test automation, and quality engineering practices.

Responsibilities

  • Design and govern robust, scalable data engineering solutions.
  • Support the migration and modernisation of legacy data platforms.
  • Collaborate with architects, analysts, testers, and business stakeholders to deliver business outcomes.
  • Provide technical guidance and support to technical leads and other engineers.
  • Promote engineering best practices and coding standards.
  • Contribute to technical design discussions and engineering decision-making.
  • Promote knowledge sharing and capability development.
  • Act as a role model for engineering excellence and continuous learning.
  • Set clear expectations, frame delivery goals, and produce practical engineering plans.
  • Explain the reasons behind decisions, build shared understanding, and encourage open collaboration across teams.
  • Provide coaching and constructive feedback to support engineers’ development.
  • Support continuous improvement activities to improve team productivity and delivery performance.
  • Help teams identify and remove delivery bottlenecks.
  • Ensure teams build quality into engineering solutions from the outset and support reliable and robust delivery.
  • Recognise the value of testing specialists in ensuring solutions meet functional and non-functional requirements, and ensure teams have the right balance of development and testing capability for quality delivery.
  • Encourage automation of testing where appropriate.
  • Champion the use of AI-assisted engineering tools and techniques.
  • Identify opportunities to improve productivity through automation and AI-enabled delivery.
  • Drive continuous improvement across development, testing, documentation, and knowledge sharing.
  • Share best practices and innovations with the wider engineering community.
  • Lead multiple teams in designing, building, and optimising scalable data solutions across modern and existing services, supporting the successful delivery of complex client programmes.
  • Set technical direction through individual technical leads, helping them understand priorities, dependencies, delivery outcomes, and standards across their teams.
  • Create alignment across teams and provide conditions for engineers to deliver confidently and consistently.
  • Adapt to changing priorities, support continuous improvement initiatives, and leverage emerging technologies, including AI, to improve productivity, delivery speed, and solution quality.
  • Help technical leads and their teams navigate change, make pragmatic engineering decisions, and stay focused on quality and delivery commitments.
  • Set the tone for delivery, model good engineering behaviours, and bring others along through coaching, constructive challenge, and clear communication.

Desired Qualifications

  • Experience with Talend, Denodo, SAS, or AWS Glue.
  • Experience within large-scale public sector or regulated environments.
  • Cloud certifications.
  • Experience using AI engineering tools to improve productivity and delivery outcomes.

About the Company

Capgemini

Global consulting, technology services, outsourcing

Capgemini provides consulting, technology services, and outsourcing to help organizations transform digitally. Its offerings include strategy and transformation consulting, system integration, application development, IT infrastructure management, and managed IT operations. It differentiates itself with a global presence in over 50 countries and a focus on applying AI, cloud, and cybersecurity to real business problems. Its goal is to help clients navigate digital transformation and improve efficiency and innovation through tailored, contract-based or managed services.

Company size
10,001+
Company stage
IPO
Headquarters
Paris, France
Founded
1967

Recently Posted Jobs

Explore more opportunities at Capgemini

See more jobs