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- Paris, Γle-de-France, France
About
About Lenstra Lenstra was created by the passion of engineers specialised in Computer Science with a proven history in delivering top quality solutions to its customers. Bringing together work excellence and vision we managed to serve top tier clients from a variety of industry domains like Banking/Insurance, Luxury and Tech. We help our clients to solve their most difficult problems around Cloud Computing & DevOps, Data Platform, IT Security by having a holistic approach of their environment and building often complex but always relevant solutions to help them accelerate their business. Our engineering team is committed to great ethics and most of our teammates are core contributors to OpenSource projects such as CPython , Postgres or Terraform . About the role *The mission lasts from March until December. We are currently seeking a talented Azure Data Engineer Consultant to join our team for a major insurance company. The successful candidates will: Data Engineering the processes related to the sustainability of data topics; Engage with internal clients and product-based teams to ensure their requirements are understood and adequately supported; Support solution design of Data Pipelines, processes re-engineering and monitoring; Create, maintain, and support data deliveries & dashboards for business users; Work along and support Front-end developers; Create adequate documentation. You may be a good addition to our team if: You have at least a couple of years working as SQL developer; Acted as a Data Engineer on the Azure ecosystem: DataFactory, Azure SQL and Databicks; Master DevOps: GitHub Actions for automated Release processes; Have a aood understanding of data models, knowledge of data analytics tools, Python, SQL; experience developing PowerBI dashboards; Have experience with cloud-based implementations and related tools (e.g. Azure Databricks, Azure Data Factory, etc.). Our recruitment process consists in 3 interviews: 1 introductory call with the recruiter; 1 technical interview with our CTO; 1 final discussion with the client. We are happy to provide any preparation support and answer to any of your questions so do not hesitate to apply or reach out.
Nice-to-have skills
- Python
- SQL
- Azure Data Factory
Work experience
- Data Engineer
- Data Infrastructure
Languages
- English