Senior Data Engineer
Paris, France
Echo Analytics
Go from raw, unprocessed data to reliable, secure, scalable geospatial datasets. Make smarter decisions with Echo Analytics Point of Interest data and geospatial insights.๐ 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 arenโt 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, youโll 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. Youโll 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
- ๐ Design & develop scalable geospatial data pipelines to process billions of data points efficiently
- ๐ Own our data engineering stackโimproving ingestion, processing, and storage strategies.
- ๐ Monitor & optimize workflows with Datadog, and CI/CD tools to ensure reliability and performance.
- ๐ก Collaborate with product & sales teams to translate business needs into data solutions.
- ๐ง Ensure best practices in architecture, infrastructure as code, and continuous improvement.
- ๐ฏ Proactively contribute to strategic projects, challenge existing systems, and drive innovation.
- ๐จโ๐ฉโ๐ฆ Mentor junior and mid-level engineers to spread good practices and data mastery companywide
Our stack
- ๐ป Languages: Python, SQL
- โ๏ธ Cloud & Data Processing: GCP (BigQuery, Dataflow, CloudSQL)
- ๐ Workflow Orchestration: Apache Airflow (Dozen of pipelines)
- ๐ฆ Infrastructure as Code: Terraform
- ๐ DevOps & Monitoring: GitHub Actions, Datadog
- ๐ Methodologies: Agile (project mode) + Lean (run mode)
- Data sources: Geolocation, Points of Interest, Transactional data, and more to come!
What weโre looking for
- 5+ years of experience in Data Engineering.
- Fluency in English - French is a plus
- Experience with large-scale data โ handling TBs of unstructured data from different sources motivates you.
- Expertise in Python & SQL โ you write clean, efficient, and scalable code.
- Apache Airflow & GCP expertise โ you know how to build robust, cloud-based data systems and pipelines
- Pipeline management - Youโre comfortable with Infra-as-code and CI/CD pipelines - including tests
- Proactive mindset โ you own what you build and donโt wait to be told what to do.
- Comfortable working across teams โ 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?
- ๐ A great diverse and international team based in Paris (25+ nationalities!)
- ๐ Impact and ownership mindset: at Echo, we encourage everyone to take ownership of their projects
- ๐ People First company: without our people, we have no business, we have dedicated a People Manifesto to them
- ๐ A contemporary office space in central Paris with a rooftop to admire the view
- ๐ป Hybrid remote policy
- ๐ฅ Free coffee, and snacks on top of your lunch voucher card (Swile, 10โฌ/ working day)
- ๐ฅ Healthcare Insurance
Our Hiring Process
- A Screening Call with Boubou, Talent Acquisition Specialist - 45 minutes
- An Interview with Clรฉment, your future manager - 60 minutes
- A technical test with Orfeas (Head of Data) and a Senior Engineer - 60 minutes
- A Cultural fit time in our Parisian offices
Still hesitating or feeling like you donโt check all the boxes? We encourage you to apply anyway! ๐
Best case scenario: we start an incredible collaboration. If not, you only invest a few minutes towards your application. We promise you wonโt 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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index ๐ฐ
Tags: Agile Airflow Architecture BigQuery CI/CD Dataflow Data pipelines DevOps Engineering GCP Generative AI GitHub Machine Learning Pipelines Python SQL Terraform Unstructured data
Perks/benefits: Career development Startup environment
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