Senior DataOps Engineer

Contentsquare is a digital experience analytics company dedicated to better customer understanding and making the digital world more human. We power more human experiences through understanding, action, and trust.Since our founding in France in 2012, we have grown to be a truly global team, representing more than 72 nationalities in offices around the world, including New York, Texas, Colorado, London, Paris, Rennes, Munich, San Francisco, Barcelona, Amsterdam, Tel Aviv, Tokyo, Singapore, and more.

In 2022, we raised $600M in Series F funding. In 2023, we were recognized as a certified Great Place to Work in 5 countries. In 2024, Heap and Hotjar joined the Contentsquare Group, strengthening our analytics platform to provide a 360 view of users' digital experience and to provide end-to-end service to the global market — from entrepreneurs and SMBs/growth companies to Enterprises.

Do you want to learn, innovate and contribute your unique perspective to an industry leader? Join the team dedicated to bringing more human analytics to the world!

Please Note: Scammers are posing as Contentsquare and Contentsquare team members. We’ll never initially contact you via text or GChat, and never solicit money from you. Please visit our careers blog for more information.

We’re looking for a Senior DataOps Engineer to join the Enterprise Analytics (EA) team.

Tech Stack: Data: Python, Snowflake, dbt, Dagster, Airbyte, Kafka. DevOps: AWS, Terraform, k8s, Github Actions.

What you'll do

• Strengthen and maintain our data infrastructure using DevOps best practices, ensuring optimal scalability, reliability, and security.
• Improve our development and CI/CD workflows to provide a top notch dev experience to data practitioners across the company.
• Build, test, document, and deploy reliable data pipelines, working with diverse data sources such as Snowflake, ClickHouse, Postgresql, S3 (CSV, Parquet, spreadsheets), and SaaS platforms
• Proactively contribute to the evolution of our Internal Data Platform by proposing new ideas and exploring innovative tech tools. Our Platform is a critical product used by multiple departments across the company.
• Effectively communicate and collaborate with a broad audience, tailoring your message to individuals with varying levels of technical expertise.

What you'll need to succeed

• 3+ years DevOps experience with at least 2+ years in production with kubernetes
• Proficiency in Python and SQL
• Knowledge of Data Orchestration solutions (Airflow, Dagster …)
• Cloud computing and Data Lake/Warehousing Management
• ELTs (“Extract Load Transform”) => EL tools & T tools (e.g. Fivetran, dbt)
• Strong strategic thinking skills, demonstrating an understanding of analytics needs in the business domain and proposing appropriate technical solutions.
• Autonomy and excellent people and time management skills to efficiently prioritize tasks and collaborate effectively within a distributed team.
• Ability to think outside the box, exhibiting a knack for finding the most suitable tech solutions to complex problems.
• Effective communication skills to engage with a diverse audience, including both technical and non-technical stakeholders.
• Knowledge of multi-threading, concurrency, and parallel processing technologies.
• Professional English (our team is international)

What makes you stand out

• Experience in administering data systemsPrior experience in building and launching a real product, either professionally or personally.
• Previous work experience in a scale-up environment, handling rapid growth and evolving challenges.
• Production experience with any of: AWS, dbt, Snowflake, Dagster