Senior Data Engineer, Events at Algolia

Bucharest, Bucharest, Romania

Algolia Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
TechnologyIndustries

Requirements

  • Solid experience with data pipelines and event-driven architectures at scale
  • Proficiency in Go or another backend language, with the ability to quickly adapt to new codebases
  • Strong knowledge of distributed systems, APIs, and messaging platforms like Pub/Sub
  • Hands-on experience with BigQuery or similar data warehouses for analytics
  • A track record of collaborating with cross-functional teams and contributing to production-critical systems
  • GRIT – Problem-solving and perseverance capability in an ever-changing and growing environment
  • TRUST – Willingness to trust co-workers and take ownership
  • CANDOR – Ability to receive and give constructive feedback
  • CARE – Genuine care about other team members, clients, and company decisions
  • HUMILITY – Aptitude for learning from others, putting ego aside
  • Nice-to-haves
  • Familiarity with GCP and Kubernetes in production environments
  • Exposure to frontend systems (React, Rails) and how they interact with backend data pipelines
  • Experience integrating with customer-facing APIs or analytics connectors
  • Background in onboarding to inherited systems and driving re-architecture where needed

Responsibilities

  • Designing and maintaining reliable pipelines for ingesting and processing both real-time and batch data from diverse external sources (including Segment, Google Analytics, and direct customer integrations)
  • Owning and optimizing systems that run at massive scale, ensuring low-latency event delivery and high reliability
  • Quickly getting up to speed with an established production system, and helping teammates do the same
  • Partnering with backend, frontend, and product teams to align technical decisions with customer-facing needs
  • Contributing to architectural improvements that make the event ingestion platform more robust, efficient, and easy to extend
  • Sharing knowledge across the team and mentoring new engineers to help them grow

Skills

Key technologies and capabilities for this role

Godata pipelinesevent-driven architecturesdistributed systemsAPIsPub/SubSegmentGoogle Analyticsreal-time processingbatch processing

Questions & Answers

Common questions about this position

What skills are required for the Senior Data Engineer role?

Must-haves include solid experience with data pipelines and event-driven architectures at scale, proficiency in Go or another backend language, strong knowledge of distributed systems, APIs, and messaging platforms like Pub/Sub, hands-on experience with BigQuery or similar data warehouses, and a track record of collaborating with cross-functional teams.

What is the company's culture like?

Algolia values GRIT (problem-solving and perseverance), TRUST (willingness to trust co-workers and take ownership), CANDOR (ability to give and receive constructive feedback), CARE (genuine care for team members, clients, and decisions), and HUMILITY (learning from others and putting ego aside).

What is the tech stack for this team?

The team's current stack features a Go backend.

What salary or compensation is offered?

This information is not specified in the job description.

Is this role remote or does it require office work?

This information is not specified in the job description.

Algolia

Provides hosted search and discovery solutions

About Algolia

Algolia offers search and discovery solutions through a hosted search API, enabling businesses to create fast and relevant search experiences. Its services are particularly useful for e-commerce platforms and media companies, providing extensive support to help clients integrate advanced search capabilities. Algolia operates on a subscription model, allowing clients to access its APIs without managing infrastructure, which ensures scalability and reliability. The company aims to enhance user experience by enabling tailored and efficient search functionalities for businesses of all sizes.

Palo Alto, CaliforniaHeadquarters
2012Year Founded
$324.8MTotal Funding
SERIES_DCompany Stage
Consumer Software, Enterprise SoftwareIndustries
501-1,000Employees

Benefits

Flexible Work Hours
Remote Work Options

Risks

AWS's own search solutions could challenge Algolia's market position.
Pricing pressures from the PAYGO model may reduce profit margins.
Dependency on commercetools could impact Algolia if service disruptions occur.

Differentiation

Algolia offers a unique end-to-end AI Search and Discovery platform.
The company provides flexible, usage-based pricing through AWS Marketplace.
Algolia's integration with commercetools enhances its composable commerce capabilities.

Upsides

Algolia's AI Personalization tool meets growing demand for personalized e-commerce experiences.
The Pay-As-You-Go model expands Algolia's reach in the AWS ecosystem.
Recognition as a leader in Gartner's Magic Quadrant boosts Algolia's market credibility.

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