Senior Data Engineer, Algolia

Data Platform

Salary not provided

AWS

Python

Airflow

Terraform

Redshift

Spark

Senior level

Paris

Remote from Europe, UK

AI search solutions

Job no longer available

AI search solutions

501-1000 employees

B2BArtificial IntelligenceEnterpriseAnalyticsBusiness IntelligenceAPIeCommerce

Job no longer available

Salary not provided

AWS

Python

Airflow

Terraform

Redshift

Spark

Senior level

Paris

Remote from Europe, UK

501-1000 employees

B2BArtificial IntelligenceEnterpriseAnalyticsBusiness IntelligenceAPIeCommerce

Company mission

To help businesses and developers understand their online users and show them exactly what they need.

Job

Company

Role

Who you are

Strong experience designing and building data pipelines
Experience orchestrating pipelines with Airflow
Professional knowledge of Python
Experience working with cloud platforms and architecturing them
Experience modeling data warehouses
Experience about infrastructure topics specific to data engineering
Interest in Big Data challenges (500Go and 750.000 files of new raw data every day)
Interest in understanding the data and business requirements
An authorization to work in the EU
Humble, curious, proactive and demonstrates a balance between creativity, scrappy and pragmatism

Desirable

Experience using and managing AWS Redshift
Experience with a parallel data processing framework such as Apache Spark
Experience analyzing data quality using dbt
Experience at our current stage and beyond ($50-200M ARR range, high growth, lots of change and building internal infrastructure)
Excellent spoken and written English skills required

What the job involves

Developing data pipelines and ETL workflows with Python, Airflow (AWS MWAA), Spark (AWS Glue) and Terraform
Improving and maintaining our data warehouse (AWS Redshift)
Build data models with dbt to be used by Analysts on business reports
Interacting with Engineering and Business teams to understand requirements
Design, build, enrich and maintain our data pipelines
Work with engineers and business analysts to capture and model data
Monitor data integrity and growth
Help improve our data lake and data warehouse architecture, to increase performance, simplicity and autonomy of the users
Help analysts industrialize reports and dashboards to improve company productivity
Ensure every product is released with a data-driven approach

Our take

While in-site searching has been available for some time from web search servers such as Google and Bing, its functionality is limited due to it relying on general web scraping techniques which can miss relevant information. By contrast Algolia indexes only the company's site, allowing its search to serve accurate results extremely swiftly, which helps to drive sales conversions aside from making sites far more usable. The efficacy of this solution can be seen from its customer base of over 10,000 companies including the likes of Slack, Zendesk and Lacoste.

To diversify and increase the product range, Algolia have expanded into other real-time APIs such as product recommendations available for eCommerce websites. With the company performing extremely well over the last few years, Algolia have recruited key senior executives to further its growth. As the company continues to scale it seems likely that an IPO is not too distant a prospect.

Freddie

Company Specialist at Welcome to the Jungle

Insights

Top investors

33% female employees

-3% employee growth in 12 months

Glassdoor (3.7)

Company

Funding (last 2 of 7 rounds)

Jul 2021

$150m

SERIES D

Oct 2019

$110m

SERIES C

Total funding: $334m

Company HQ

Barron Park, Palo Alto, CA

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