Senior Data Engineer - ISD

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.

What you will do

• Build, test, document, and deploy reliable data pipelines, working with diverse data systems such as Snowflake, ClickHouse, Postgresql, S3 (CSV, Parquet, spreadsheets) and APIs (internal and SaaS).
• Provide a robust dbt runtime environment for Analytics Engineers, offering guidance and support in building resilient transformations while ensuring data governance for our existing ~1300 models.
• Proactively contribute to the evolution of our Internal Data Platform by proposing new ideas and exploring innovative big data tools. Our Platform is a critical product used by multiple departments across the company.
• Build and maintain the infrastructure of our Internal Data Platform using DevOps practices, ensuring scalability, reliability, and security.
• Effectively communicate and collaborate with a broad audience, tailoring your message to individuals with varying levels of technical expertise.

Tech Stack: - Data: Python, Snowflake, dbt, Dagster, Sling, Fivetran

• DevOps: AWS, Terraform, k8s, Github Actions

What you need to succeed

• 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 MPP technologies.
• Professional English (our team is international). Technical skills :- 5+ years experience in Data Engineering
• Proficiency in Python and SQL
• Deep knowledge of data warehouses (Snowflake, BigQuery, Clickhouse …)
• Deep understanding of Data Architecture patterns
• Production experience with Data Orchestration solutions (Airflow, dbt…)
• Cloud computing

Bonus points

• Experience working with and deploying LLM models.
• Prior 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, k8s, Snowflake, Dagster