About Lenstra

Lenstra was created by the passion of engineers specialised in Computer Science with a proven history of delivering quality solutions to customers. We serve top tier clients from a variety of industry domains including Banking/Insurance, Luxury, and Tech. We help our clients to solve their most difficult problems around Cloud Computing & DevOps, Data Platform, and IT Security by taking a holistic approach to their environment and building relevant solutions to help them accelerate their business.

Our engineering team is committed to great ethics and includes core contributors to OpenSource projects such as CPython, Postgres and Terraform.

About the role

Lenstra is currently helping multiple major companies (> 3 B$ revenue) set up their self service Data Platform. Our scope of work encompasses developing the Data Platform product vision taking into account our client's strategic goals and existing technological environment, and then implementing the Data Platform including its deep integration with our client's IT, security and legal requirements.

In this context we are looking for passionate Analytics Engineers to join our teams to help our client in their adoption of the Data Platform. You will have the opportunity to work on a state-of-the-art data mesh platform which includes tools such as GitHub actions, dbt, Terraform, GCP, and PowerBI.

Location: central London, 3 days per week in the office required

Key responsibilities:

- Build and maintain foundational data products on the Data Platform, working with business stakeholders to understand and serve their specific needs;

- Be an SME and advocate for client adoption of the Data Platform;

- Lead a small team of analytics engineers, setting best practices for development on the Data Platform, reviewing others' work, and helping on more complex technical challenges;

- Collaborate with other data engineers and analysts to design scalable and performant data products leveraging Data Platform features Skills needed for the role;

Requirements:

- Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Statistics, or related field;

- 3+ years of 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;

- Strong knowledge in SQL;

- Strong experience with dbt or dataform;

- Experience with data modelling, ELT processes, and data warehousing;

- Familiarity with data visualisation tools such as Tableau, Power BI, or similar;

Application process:

As this is one of our most needed roles, here is what you can expect from the recruitment process:

- an introductory call with the recruiter;

- a technical interview with one of our Analytics Engineer Consultants;

- and a behavioural interview with one of the partners.