Senior Data engineer - Enterprise Analytics team - Spain at Contentsquare

Poland

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AnalyticsIndustries

Requirements

Strong strategic thinking skills, demonstrating an understanding of analytics needs in the business domain and proposing appropriate technical solutions
Autonomy and excellent people and time management skills to efficiently prioritize tasks and collaborate effectively within a distributed team mostly communicating async
Mentoring skills, helping the rest of the team grow technically and professionally
Ability to think outside the box, finding the most suitable solutions to complex engineering problems
Effective oral and written communication in English to engage with a diverse audience, including both technical and non-technical stakeholders
5+ years experience in Backend/Data Engineering roles
Proficiency in Python and SQL
Strong systems design skills with a demonstrated ability to architect, build, and maintain scalable and reliable data pipelines
Deep knowledge of data warehouses (e.g. Snowflake, Clickhouse…)
Production experience with data orchestration solutions (e.g. Dagster, Airflow…)
Experience deploying and maintaining containerized services on Cloud providers using Infrastructure as Code

Responsibilities

Build, test, document, and deploy reliable data pipelines, working with diverse systems
Proactively contribute to the evolution of our Data Analytics Platform by proposing new ideas and exploring innovative big data tools
Build and maintain our data infrastructure using DevOps best practices, ensuring scalability, reliability, and security
Effectively communicate and collaborate with a broad audience, tailoring your message to individuals with varying levels of technical expertise

Skills

SQL

Python

AWS

Terraform

Dagster

dbt

Snowflake

PostgreSQL

ECS Fargate

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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