Senior Data Engineer

Join Algolia’s Data Engineering team. We gather data across all company domains and build and maintain the infrastructure and services that power internal analytics for analysts, data scientists, product managers, and engineers. We are the internal eyes of the company, a critical, central team for Algolia and its business. We aim to build a state-of-the-art data platform and stay alert to new technologies to keep modernizing. This role is with Algolia, based in France, you can work from our Paris office or fully remote.

Scale

• 3000+ TB data lake and warehouse, growing fast  
• 60 Airflow DAGs  
• 800+ dbt models supported  
• 50+ data sources across clouds, APIs, formats, internal and third-party systems

What's Ahead:

We have started a transition from Redshift to Databricks to modernize the platform and scale for the future. The foundation is new. There is still a lot to build and many interesting challenges.

What you will do: 

• Be a key contributor in a mature data engineering team composed of senior engineers
• Design, build, and operate reliable batch and streaming pipelines
• Improve orchestration, testing, observability, and cost efficiency
• Interact with many stakeholders across Product, Engineering, and Analytics
• Take strong ownership of what you build and maintain
• Share your expertise with other technical teams

Must haves:

• 8+ years of experience in data engineering
• Expertise with cloud platforms (AWS, GCP, or Azure)
• Expertise with orchestration systems (Airflow, Dagster, or similar)
• Expertise with data lakes and warehouses (Databricks, Snowflake, BigQuery, or Redshift)
• Strong Spark and SQL skills
• Familiarity with infrastructure tools (Terraform, Docker)
• Familiarity with coding best practices (Python, unit testing, CI)
• Awareness and interest in data engineering and modern development
• Motivation to build a state-of-the-art platform
• Motivation to work in a team-oriented culture 
• Excellent communication skills

Nice to have:

• Familiarity with dbt or similar frameworks
• Familiarity with BI tools (ThoughtSpot, Hex)

We’re looking for someone who can live our values:

• GRIT - Problem-solving and perseverance capability in an ever-changing and growing environment
• TRUST - Willingness to trust our co-workers and to take ownership 
• CANDOR - Ability to receive and give constructive feedback.
• CARE - Genuine care about other team members, our clients and the decisions we make in the company.
• HUMILITY- Aptitude for learning from others, putting ego aside.

Team’s current stack:

• AWS infrastructure  
• S3 data lake  
• Databricks SQL Warehouse and Workflows  
• Airflow (MWAA)  
• Kafka for real time  
• AWS Glue, EMR, Kinesis
  
• Redshift and Athena (being replaced by Databricks)

#LI-Remote

FLEXIBLE WORKPLACE STRATEGY:

Algolia’s flexible workplace model is designed to empower all Algolians to fulfill our mission to power search and discovery with ease. We place an emphasis on an individual’s impact, contribution, and output, over their physical location. Algolia is a high-trust environment and many of our team members have the autonomy to choose where they want to work and when.

While we have a global presence with physical offices in Paris, NYC, London, Sydney and Bucharest, we also offer many of our team members the option to work remotely either as fully remote or hybrid-remote employees. Please note that positions listed as "Remote" are only available for remote work within the specified country. Positions listed within a specific city are only available in that location - depending on the nature of the role it may be available with either a hybrid-remote or in-office schedule.

ABOUT US:

Algolia prides itself on being a pioneer and market leader offering an AI Search solution that empowers 17,000+ businesses to compose customer experiences at internet scale that predict what their users want with blazing fast search and web browse experience. Algolia powers more than 30 billion search reques