Analytics Engineer

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 . Your job will consist in improving the workflow of data ingestion (e.g. errors & rejections management, ingestion of new data) to support the team building the reports, and to enable self-BI possibilities. The ideal candidate has great communication skills, good knowledge of Data Modelling and is comfortable with Python, SQL & DBT. This job is based in Paris, with 2 possible days of remote work . Work with our clients' teams to address their business challenges, define successful analytics outcomes and develop data models to address them. Collaborate with data scientists, data consultants, and other analytics team members to define the scope and requirements of analytical projects. Collaborate with BI teams and coach them on Analytics Engineering Stay up to date with the latest technologies and tools in analytics engineering and contribute to the growth of Lenstra's analytics capabilities. Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Statistics, or related field; Experience in data engineering, analytics engineering, or a related field; Excellent analytical and problem-solving skills, with the ability to work on complex and ambiguous problems; Strong communication and collaboration skills, with the ability to work in a team environment; Ability to manage multiple priorities and work effectively; Strong knowledge in SQL; First experience with dbt or dataform; Experience with data modelling, ELT processes, and data warehousing; Programming skills in Python; Familiarity with data visualisation tools such as Tableau, Power BI, or similar. Our recruitment process consists in 3 interviews: an introductory call with the recruiter; one technical interview and a behavioural interview with one of the partners which will take place onsite. We are happy to provide any preparation support and answer to any of your questions so do not hesitate to apply or reach out.