Intuita - Vacancies
NLP PEOPLE
Ellison Institute of Technology
Connect with headhunters to apply for similar jobsA technology consultancy is seeking data engineers to build data platforms and pipelines. These client-facing roles range from senior to lead levels, focusing on analytics solutions and problem-solving. Candidates should have a strong background in data engineering and software development, including experience with Python and SQL. The company promotes remote work while valuing collaboration, supporting a diverse and inclusive work environment.
We work with some of the UK's biggest companies and government departments to provide a pragmatic approach to technology, delivering bespoke software solutions and expert advice.
Our clients are increasingly looking to us to help them make the best use of their data. In building data platforms and pipelines, our data engineers create the foundation for diverse data & analytics solutions, including data science and AI. They build data lakes and warehouses, create the processes to extract or access operational data, and transform siloed datasets into integrated data models that allow insight into business performance and problems or training of ML models.
These are hands-on, client-facing roles, with openings at senior or lead level to suit your experience. You may be leading teams, setting technical direction, advising clients or solving tough engineering challenges. You'd also be expected to spend some time on-site with clients in the London area on an ad-hoc basis.
Our data engineers combine a strong software engineering approach with solid data fundamentals and experience with modern tools. We're technology agnostic, and we're open minded when it comes to your existing skillset.
What are we looking for?
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.