🚀 Founded in 2021, Echo's narrative is one of relentless growth, ambition, and promise. A cutting-edge startup at the forefront of Geospatial Data and Gen AI technologies, we have skyrocketed from 0 to 75+ employees in just three years!

Specialists in the location intelligence industry, we empower innovation by helping companies better understand the world around them.

In a world inundated with data, quality is crucial. We use data science, machine learning, and human feedback to build Europe's most comprehensive, high-quality datasets, enriched with differentiating attributes that outmaneuver the competition.

We aren’t just about reliable data (read: unmatched quality) though.

Life at Echo is about individual growth, collective ambition, and a culture that values and celebrates diversity; With a "people first" philosophy guiding everything we do.

You'll be at the heart of innovation, tackling projects that shape our future, with the best people possible!

Your Role at Echo

At Echo, you’ll join a dynamic team of over 20 data enthusiasts passionate about leveraging data to drive innovation.

We seek for a motivated Senior Data Engineer to become our main technical point of contact on Data Engineering topics. You’ll work alongside talented Data Analysts and ML engineers, developing robust pipelines, designing efficient data systems, and challenging our existing processes to improve the way we process our datasets.

As such, your main responsibilities will be

• 📊 Design & develop scalable geospatial data pipelines to process billions of data points efficiently
• 🚀 Own our data engineering stack—improving ingestion, processing, and storage strategies.
• 🔍 Monitor & optimize workflows with Datadog, and CI/CD tools to ensure reliability and performance.
• 💡 Collaborate with product & sales teams to translate business needs into data solutions.
• 🔧 Ensure best practices in architecture, infrastructure as code, and continuous improvement.
• 🎯 Proactively contribute to strategic projects, challenge existing systems, and drive innovation.
• 👨‍👩‍👦 Mentor junior and mid-level engineers to spread good practices and data mastery companywide

Our stack

• 💻 Languages: Python, SQL
• ☁️ Cloud & Data Processing: GCP (BigQuery, Dataflow, CloudSQL)
• 📈 Workflow Orchestration: Apache Airflow (Dozen of pipelines)
• 📦 Infrastructure as Code: Terraform
• 🛠 DevOps & Monitoring: GitHub Actions, Datadog
• 🚀 Methodologies: Agile (project mode) + Lean (run mode)
• Data sources: Geolocation, Points of Interest, Transactional data, and more to come!

What we’re looking for

• 5+ years of experience in Data Engineering.
• Fluency in English - French is a plus
• Experience with large-scale data – handling TBs of unstructured data from different sources motivates you.
• Expertise in Python & SQL – you write clean, efficient, and scalable code.
• Apache Airflow & GCP expertise – you know how to build robust, cloud-based data systems and pipelines
• Pipeline management - You’re comfortable with Infra-as-code and CI/CD pipelines - including tests
• Proactive mindset – you own what you build and don’t wait to be told what to do.
• Comfortable working across teams – you can talk data with engineers and translate it for business teams.

Bonus points if :

• You have experience building data science / ML pipelines in a GCP environment

Why us?

• 🌎 A great diverse and international team based in Paris (25+ nationalities!)
• 🚀 Impact and ownership mindset: at Echo, we encourage everyone to take ownership of their projects
• 🎇 People First company: without our people, we have no business, we have dedicated a People Manifesto to them
• 🌆 A contemporary office space in central Paris with a rooftop to admire the view
• 💻 Hybrid remote policy
• 🥘 Free coffee, and snacks on top of your lunch voucher card (Swile, 10€/ working day)
• 🏥 Healthcare Insurance

Still hesitating or feeling like you don’t check all the boxes? We encourage you to apply anyway! 🙂

Best case scenario: we start an incredible collaboration. If not, you only invest a few minutes towards your application. We promise you won’t regret it!

We are committed to providing equal employment opportunities regardless of gender, sexual orientation, origin, disabilities, or any other traits that make you who you are.