Senior Data Engineer at Contentsquare

Barcelona, Catalonia, Spain

Contentsquare Logo
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, AnalyticsIndustries

Requirements

  • 4+ years of experience as a mid-level or senior engineer
  • Good grasp of the fundamentals of computer science
  • Experience working with dynamic complex systems in a rich ecosystem with lots of integrations
  • Hands-on experience tackling large-scale data challenges, focusing on scalability, low-latency processing, and fault-tolerant system design
  • Experience with cloud providers such as AWS and Azure, with comfort in writing infrastructure as code
  • Strong communication skills, with the ability to collaborate effectively in a team environment both on-site and asynchronously with people around the world

Responsibilities

  • Design efficient services to collect, process, and store petabytes of data, ensuring high scalability and performance
  • Challenge the status quo by redesigning and unifying multiple inherited data pipelines, driving the transition to a streamlined, harmonized data architecture
  • Lead large-scale projects that involve complex systems and cutting-edge technologies, driving impactful changes across the organization
  • Develop innovative data formats and exchange mechanisms that optimize functionality while minimizing costs and maximizing performance
  • Share knowledge and increase the team's expertise by introducing new ideas and mentoring fellow engineers
  • Contribute to the continuous evolution of the primary data pipeline, addressing growing data volumes and functional requirements
  • Collaborate closely with cross-functional teams to ensure data solutions align with the organization's strategic goals

Skills

Scala
Go
Kafka
ClickHouse
Data Architecture

Contentsquare

Digital experience analytics and insights platform

About Contentsquare

Contentsquare provides digital experience analytics through an AI-powered platform that analyzes customer behaviors, feelings, and intentions across various online touchpoints. The platform collects data from over 1 million websites, allowing businesses to understand how customers interact with their digital content. This understanding helps companies improve their operations, build customer trust, and ensure that their services are secure, private, and accessible. Unlike many competitors, Contentsquare focuses on delivering deep insights that foster empathy towards customers, enabling brands to enhance customer satisfaction and adapt quickly to market changes. The goal of Contentsquare is to empower businesses to create meaningful customer experiences that drive growth and loyalty.

Paris, FranceHeadquarters
2012Year Founded
$1,257.4MTotal Funding
SERIES_FCompany Stage
Data & Analytics, Enterprise Software, CybersecurityIndustries
1,001-5,000Employees

Benefits

Opportunities for personal growth and career development
Competitive salaries
Generous health and retirement benefits
Excellent family care
Paid time off and flexible policies
Fun and ambitious work environment

Risks

Increased competition from emerging platforms may erode Contentsquare's market share.
The departure of key executives could lead to strategic instability.
Integration challenges with acquisitions like Heap may cause operational inefficiencies.

Differentiation

Contentsquare offers AI-powered insights into customer behaviors and feelings across all touchpoints.
The platform integrates four analytics domains: DXA, DEM, PA, and VoC.
Contentsquare's focus on privacy and accessibility builds strong customer trust.

Upsides

Contentsquare's new AI features enhance conversion, retention, and NPS improvements.
Strategic partnerships, like with TMG, expand Contentsquare's digital experience capabilities.
The rise of AI-driven personalization boosts demand for Contentsquare's analytics solutions.

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