Careers
Explore data engineer jobs and AI engineer jobs where your work is connected to real client engagements.
At Cognovea, people are given the opportunity to work directly on data and AI engagements where the work moves from an initial assessment through implementation and handover. The focus is placed on practical work that has a clear purpose, with experienced team members available to provide guidance as decisions are made and the engagement progresses.
You will be able to see how your contribution fits into the wider engagement, rather than working on an isolated task without knowing what happens around it. Projects are scoped clearly, responsibilities are established early, and there is no expectation of sitting on the bench between projects while waiting for the next assignment.
Working Here
Working on any particular project depends on the degree of background you have been provided with, the proximity to experienced people that you get, and the degree of clarity regarding your duties. At Cognovea, those parts of the working experience are intended to remain visible throughout an engagement.
The work is allocated with a well-defined position in the larger picture, hence you can be able to know what is expected from you and how your effort will be utilized. In the process of the project being implemented, decisions and duties are negotiated amongst the team members.
Senior leads remain involved in the work, allowing technical decisions and delivery questions to be discussed with people who understand the engagement in detail. Guidance is therefore available while the work is being carried out, which can make the learning experience more useful than training that remains separate from day to day delivery.
Project-related knowledge is recorded while the project is being undertaken, involving key decisions, processes, and contextual information that can prove valuable in the future. In case there is a transfer of responsibilities within the project team, the information is accessible to the whole project team, rather than relying solely on individual memory.
Projects are structured around an agreed scope and timeline, so the team can work toward a defined point of completion. Cognovea’s fixed price approach, no lock in model, and stated timelines are part of that wider way of working, although the focus for team members remains on delivering the agreed work and seeing the engagement through to handover.
For people considering data consulting careers or AI consulting careers, this creates an environment where the work itself remains central to the experience. It also gives candidates considering careers at a data and AI company a clearer view of what their day to day contribution can involve.
Open Roles
Cognovea’s opportunities span Data, AI, and BI, with the exact roles depending on the capabilities needed across current engagements. Each opening should make the role, function, location or working arrangement, experience requirements, and application route clear before a candidate decides to apply. The Careers brief specifically calls for this structured approach so that the listings can remain current as hiring needs change.
Our data engineer jobs are suited to people who want to work on the systems and data foundations that support analytics and AI work. Depending on the engagement, responsibilities may include developing data workflows, improving the way information is processed, or helping make data more usable for the teams working with it.
Where remote data engineer jobs are available, the working arrangement should be stated clearly within the individual opening so candidates can understand the expectations before applying.
Our AI engineer jobs are focused on putting AI capabilities into practical use within real engagements. The work can involve technical implementation, integration into wider workflows, and the decisions required to make an AI capability useful within the context in which it is being built.
Data analyst jobs at Cognovea entails analyzing data, drawing insights from data, interpreting results, and presenting information in a manner that may help in decision-making. Since there will be different openings for data analysts at Cognovea, each job posting will have unique qualifications. Thus, every job opening needs to be considered separately.
Current hiring needs may also include data science jobs, BI developer jobs, analytics engineer jobs, and MLOps engineer jobs, depending on the work being taken up by the team. These roles cover different parts of the data and AI landscape, and each opening should explain the expected skills and responsibilities in enough detail for candidates to assess their fit.
If there is no suitable opening at the time you visit the page, Cognovea can remain open to hearing from strong candidates through a general interest application, rather than leaving the Careers page without a clear next step.
The Work
Typical engagements can be explained using three phases: Audit, Build, and Handover. While the specifics of the work will vary depending on the particular engagement, the process overall helps members of the team gain a view of how a particular work is progressed from start to finish.
This process starts off with an analysis of the existing data, processes, and technical environment. This will help the team determine the following steps to take based on the existing resources and changes needed.
After determining the direction, the process moves into its implementation phase, whereby the task will be done collaboratively by all members of the team. There will be discussions on technicalities during the course of the task, while monitoring progress in relation to the scope of work.
The final stage is focused on making the completed work usable after the engagement has ended. Documentation and knowledge transfer are carried out as part of the handover, giving the people taking ownership the information they need to continue from the point at which the project concludes.
For someone building careers in data and AI, this means being able to see more of the engagement than a single technical task. You can gain context around how the work is assessed, developed, reviewed, and eventually handed over, which gives the role a clearer connection to the wider outcome.
Hiring
The hiring process is kept straightforward, with each stage giving candidates a better understanding of the role while allowing the Cognovea team to assess the experience and technical approach relevant to the position.
First off, apply for a job opportunity that aligns with your skills and experience. The information presented to you here provides a first impression of your profile and will help in deciding if it’s appropriate for you.
This will allow you to talk about your experience, the job, and how the team functions. It will also give you the chance to ask any questions that you might have about what is required of you if you proceed further in the interview process.
Where a technical exercise is included, it is tied to practical, real world scope so that your approach to the work can be understood more clearly. The exercise can provide insight into how you reason through technical decisions, communicate your thinking, and work through an unfamiliar situation.
Candidates who successfully complete the process are taken through the offer and next steps by the Cognovea team. Further details are shared directly so that expectations are clear before the joining process begins.
See Open Roles
The work available through Cognovea careers is connected to real engagements, so the right opportunity may involve contributing to data infrastructure, developing AI capabilities, working with analytical data, or supporting the wider delivery of data and AI engagement.
Not every relevant opportunity will necessarily be open when you begin looking. If you want to join a data and AI team and your experience aligns with the kind of work carried out at Cognovea, you can share your profile for future consideration.