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Senior Data Engineer / Business Intelligence

We’re on a mission to make Algolia a data-driven organization, and we’re looking for a Senior Data Engineer to join our Data team and help us get there.​
Our Data team aims at helping other teams make better decisions by providing relevant data while ensuring its integrity and its consistency. This team has a significant impact as we work closely with business analysts on our Operations, Marketing, Product and Infrastructure teams to help them discover meaningful trends.​
On a daily-basis, you will work on:
> Developing data pipelines and ETL workflows with Python Airflow and Apache Beam.
> Improving and maintaining our data warehouse (AWS Redshift).
> Using Looker to build (or assist in building) reports, dashboards and visualizations and evaluate other data visualisation and exploration tools.
> Interacting with Engineering and Business teams to understand requirements.
We are very open-minded and happy to experiment new technologies to achieve our goals and we try to continuously challenge our choices on that topic. You will have the opportunity to take some decisions going in that direction.​
As a senior joining the team, your goal will also be to mentor junior engineers and help them grow to be successful at Algolia.
With Algolia’s rapid growth, there will be many data-related challenges that will need to be tackled! Are you ready for the challenge?


  • Design, build, enrich and maintain our data pipelines and admin tools
  • Work with engineers and business analysts to capture and model data
  • Setup reports and dashboards to improve company productivity
  • Monitor data integrity and growth
  • Ensure every product is released with a data-driven approach


  • Strong experience modelling data warehouses
  • Strong experience designing and building data pipelines
  • Experience orchestrating pipelines with Apache Airflow or Luigi
  • Professional knowledge of Python/JavaInterest in understanding the data and business requirements
  • An authorisation to work in France


  • Experience using and managing AWS Redshift
  • Experience with a parallel data processing framework such as Apache Spark or Apache Beam
  • Experience analysing data quality using AWS Deequ
  • Experience or desire to learn about infrastructure topics


  • Private Medical Insurance
  • Life and Disability Insurance 
  • Business Travel Insurance
  • Relocation support
  • Company Canteen (high standard)
  • Flexible work hours and flexible time off
  • Competitive pay and equity
  • Your choice of computer, phone, keyboard, headphones, you name it. Everything you need to be efficient
  • Coaching and sponsorship to participate and speak at leading industry conferences
  • Ongoing professional education opportunities through internal & external workshops, including public speaking, language learning (English/French)
  • Fun: we spend time together — team building, socializing and making tools that encourage getting to know teammates across offices and continents.
  • Charitable contribution matching 
  • Unique referral rewards program: refer a candidate, and we’ll donate to your charity of choice
  • Fully stocked kitchens
  • Team workouts
  • Meals & happy hours
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