Data Engineer, Data Foundations

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? We're building the foundational infrastructure that will define how the world thinks about and deploys AI, and we want the sharpest, most curious people to help us do it. As a member of our Analytics & Data Insights team, you'll tackle the kind of problems that don't have textbook answers yet, launch products that didn't exist a year ago, and help enterprises understand what foundational AI actually means for their bottom line. As a Data Engineer, You Will Work directly on new customer experiences built on one of the most advanced AI systems in the world Collaborate daily with researchers and engineers who are some of the best in the world at what they do Run implementations end-to-end and see initiatives through to real outcomes Partner across research, marketing, sales, and finance to help define how Cohere grows, with your recommendations feeding directly into products and strategy You May Be a Good Fit If You Have 5+ years of experience working on production-grade data processing systems Strong command of Python and SQL Experience with distributed data processing frameworks such as Apache Beam, Spark, or Flink, alongside large-scale data system design The ability to transform unstructured data into performant datasets in relational databases and blob storage Familiarity with modern analytics stack tooling such as BigQuery, Airflow, or dbt Knowledge of Java or Golang (nice to have) Experience with Kubernetes (nice to have) Genuine excitement about AI - you follow the research, have opinions, and enjoy being in the weeds Comfort operating at the edge of what's known, with a desire to build something genuinely new rather than optimise what already exists Full-Time Employees At Cohere Enjoy These Perks A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. Full health and dental benefits, including a separate budget for mental health. RRSP matching, 401K, Pension Scheme. 100% Parental Leave top-up for up to 6 months, for either parent. Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. 6 weeks of paid vacation (30 working days!) Budget for traveling to other offices if you are remote, plus an annual company offsite. How And Where We Work Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. For those not near an office: a co-working benefit so you can work alongside others in your city. Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers page.

The role involves building foundational data infrastructure and customer experiences for advanced AI systems. You will collaborate with researchers and engineers to transform unstructured data into performant datasets and provide strategic recommendations for company growth.

Candidates need over 5 years of experience with production-grade data processing systems and strong proficiency in Python and SQL. Experience with distributed frameworks like Spark or Beam and modern analytics tools like BigQuery and Airflow is required.

• Weekly lunch stipend • Health benefits • Dental benefits • Mental health budget • RRSP matching • 401K • Pension Scheme • Parental Leave top-up • Arts & culture benefits • Fitness/wellness benefits • Quality time benefits • Workspace improvement credit • Education & learning stipend • 6 weeks of paid vacation • Travel budget for remote employees • Annual company offsite • Home office stipend

• KubernetesSouhaitée
• SQLSouhaitée
• GoSouhaitée
• JavaSouhaitée
• PythonSouhaitée

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Python
• SQL
• Apache Beam
• Spark
• Flink
• Data System Design
• BigQuery
• Airflow
• Dbt
• Java
• Golang
• Kubernetes
• Data Processing
• Relational Databases
• Blob Storage

• Data & Analytics
• Technology
• Software
• Engineering
• Science & Research

Expérience minimale

5+ ans

Langue de l’offre

anglais

Heures de travail

40 heures par semaine

Niveau d’expérience

Mid-Senior level