🚀 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 50+ employees in just two 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

As a Senior Data Engineer on our R&D team, you'll be a key player in shaping data flows within our Google Cloud Platform (GCP) environment. Your role involves designing and managing intricate data processes using technologies like BigQuery, Pub/Sub, Data flow, Airflow, Terraform, and GCP. Beyond design, you'll actively contribute to data modeling, overseeing data flows from concept to production support. Join us in a unique opportunity to be part of a successful startup, leading its market from the early stages.

As such, your main responsibilities will be

• Be the driving force behind the development and maintenance of the team's products. This can take many forms, here are a few examples:

  • Ensure data is reliable, consistent, and available.

  • Expose the data through APIs, flat files, etc., for internal and external use.

  • Design geographical datasets for external consumers for speed, consistency, cost, and efficiency.

• Be the technical mentor for a team of 2 to 5 Data/Software Engineers:
• Provide best practices and guidance for individual contributors.

• Report to the R&D management team on progress and difficulties.

• Be proactive in investigating and testing new tools, processes, and technologies on an ongoing basis.

• Continuing learning new skills thanks to the Echo Analytics knowledge plan.

• Proposing architecture and design changes based on internal audit.

What we’re looking for

• Fluent in English (French is a plus).

• Minimum 5 years of data industry experience.

• Proficient in Python programming.

• Expertise in data engineering principles, ETL processes (Apache Airflow), and data warehousing.

• Hands-on experience with Google Cloud Platform (or other providers) and cloud data processing frameworks

• Proven experience with Apache Spark/Apache Beam.

• Design and implementation of scalable and resilient data architectures in cloud environments.

• Hands-on experience with Ops tools like GitHub Actions and Terraform.

• Proven ability to provide ongoing support, monitor data processes, and optimize pipelines for stability and efficiency.

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

• 💻 Remote-friendly policy

• 🥘 Free coffee, 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.