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Careers at Aptus Data Labs

Build what's next in Data + AI.

Work alongside engineers, data scientists, AI practitioners and industry experts to turn ambitious ideas into intelligent solutions used by enterprises around the world.

Explore open roles
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A team working through ideas at a whiteboard
Two colleagues looking at code together on a monitor
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Why AptusOpen rolesHiring process

Why Aptus

Build more than a career.

The name Aptus comes from Latin, meaning appropriate or fitting — the standard we hold every engagement to, including how we treat the people doing the work.

Work at the edge of AI

Build with Generative AI, agentic systems, ML, data engineering and cloud — on real enterprise problems in regulated industries, not demos.

Work across industries

Gain exposure to pharmaceuticals and life sciences, banking and financial services, manufacturing and supply chain, and technology platforms.

Make your work visible

Individual contribution connects to a deployed outcome. You can point at what you built and what changed because of it.

Areas of work

Find the problems you want to solve.

AI & Machine Learning

  • Machine Learning
  • Generative AI
  • Agentic AI
  • LLMOps
  • MLOps
  • Responsible AI

Open roles

Data Engineering

  • Data platforms
  • Pipelines
  • Governance
  • Master data management
  • Lakehouse architecture

Open roles

Cloud & Platform Engineering

  • AWS
  • Azure
  • GCP
  • Databricks
  • Cloud-native engineering
  • DevOps

Open roles

Product & Digital Engineering

  • Frontend
  • Backend
  • Full stack
  • Platform engineering
  • Product management
  • UX/UI

Open roles

Data Science & Analytics

  • Applied data science
  • Decision science
  • Business analytics
  • BI & visualization

Open roles

Consulting & Industry Solutions

  • AI strategy
  • Technology consulting
  • Domain consulting
  • Enterprise transformation

Open roles

Business Functions

  • Sales
  • Marketing
  • Finance
  • People operations
  • Operations

Open roles

Hiring process

What to expect.

Step 1

Apply

Submit an application to an open role, or share your profile with the talent network.

Step 2

Talent conversation

A recruiter conversation about your background, motivation and what you want next.

Step 3

Technical / functional discussion

A working session with practitioners on the craft the role actually requires.

Step 4

Team / leadership conversation

Meet the people you would work with, and the leader accountable for the team.

Step 5

Offer

References, offer and a clear onboarding plan before you start.

Prepare for your conversation

Your recruitment journey may differ depending on the role, seniority and discipline. Your recruiter will explain the process before interviews begin.

Be ready to talk through:

Projects you personally contributed to, and which parts were yours

Technical decisions you made and the trade-offs you weighed

How you approach a problem you have not seen before

The business impact of something you built

How you work with people outside your discipline

Something that failed, and what you changed afterwards

Your next challenge could start here.

Explore opportunities to build, learn and solve alongside the people shaping the next generation of enterprise Data + AI.

Explore open rolesJoin our talent network