capco
2 days ago
Data Engineer M/F
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Company information
- Company
- capco
- Location
- Germany
- Posted
- 2 days ago
Job description
Capco France is looking for Data Engineers to support major financial services players in the design and implementation of modern, robust, and scalable data platforms and solutions.
Within our Data & Analytics Practice, you will work on high-impact transformation projects, from the design of data architectures and pipelines to their production and optimization.
What you will do
- Design, develop, and maintain robust and scalable data pipelines for ingesting, transforming, and making data available from multiple sources.
- Participate in the design and evolution of modern data architectures, particularly in Cloud environments, taking into account performance, security, and scalability challenges.
- Ensure data quality, reliability, and observability through testing, monitoring, documentation, and automation practices.
- Collaborate with Data, Cloud, Architecture, and Business teams to transform functional needs into performant and maintainable technical solutions.
- Responsibly use approved AI and automation tools to accelerate development, testing, documentation, or incident analysis, with human review and adherence to security and governance standards.
What we are looking for
- Significant experience in Data Engineering, minimum 5 years, with a strong command of Python and SQL and experience in designing data pipelines.
- Experience with modern data technologies and architectures, as well as at least one Cloud environment such as AWS, Azure, or GCP.
- A good understanding of data modeling, transformation, quality, and governance issues.
- The ability to collaborate with technical and business profiles, solve complex problems, and clearly communicate technical choices.
- Curiosity about the uses of AI and AI-enabled workflows applied to Data Engineering, with attention to security, quality, traceability, and human validation.
- Ability to work in complex, regulated, and international environments, with excellent communication skills in French and English.
Additional Assets
- Experience with technologies such as Spark, Databricks, Snowflake, Kafka, or dbt.
- Practice of DataOps, CI/CD, Infrastructure as Code principles or automation approaches applied to data platforms.
- Experience in banking, capital markets, insurance, or more broadly financial services.
- Knowledge of security, governance, lineage, and data protection issues in regulated environments.
- Hands-on experience using Generative AI or Agentic AI to improve engineering workflows, with appropriate review, control, and traceability mechanisms.
Why join Capco?
Founded in 1998, Capco is a management and organization consulting firm specializing in the financial services sector, with 34 offices across the Americas, Asia, and Europe, employing 7,000 people, including 160 in Paris.
Our consulting offering is based on three main areas of expertise: Business Consulting, Digital, and Technology.
At Capco, we offer you:
- An international work environment focused on innovation and value creation for our banking and insurance clients.
- A continuous training program tailored to your needs, to acquire new skills and develop real expertise.
- A hybrid work organization (teleworking charter of 2 days per week).
- Competitive compensation with a performance-related bonus.
- A PEE (Employee Savings Plan) with an annual employer contribution of €2903.
- An entrepreneurial, inclusive, and meritocratic company culture.
- Initiatives to build the Capco of tomorrow:
- #BeYourselfAtWork
- CSR (sustainable mobility package, solidarity day, etc.)
- Professional, sports, and cultural communities.
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Required skills
- kafka
- databricks
- snowflake
- english
- ci/cd
- generative ai
- financial services
- sql
- data modeling
- ai
- french
- python
- aws
- automation
- insurance
- cloud
- data engineer
- spark
- gcp
- azure
- dbt
- data governance
- infrastructure as code
- data quality
- data engineering
- banking
- data pipelines
- agentic ai
- data security
- dataops
- data transformation
- capital markets
- data lineage
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