Core Responsibilities
Pipeline & Data Modeling: Design, build, and maintain scalable automated data pipelines (ETL/ELT) and data models that support complex analytical requirements.
Strategic Visualization: Develop sophisticated dashboards and reporting tools that provide "at-a-glance" insights for executive leadership and deep-dive capabilities for analysts.
Data Governance: Establish and enforce best practices for data documentation, metadata management, and data quality assurance to ensure "one source of the truth."
Performance Optimization: Audit and optimize SQL queries and dashboard performance to ensure low-latency access to large datasets.
Stakeholder Partnership: Act as a technical consultant to non-technical departments, helping them define Key Performance Indicators (KPIs) and translate business questions into technical requirements.
Mentorship: Lead code reviews and mentor junior engineers on data modeling techniques and visualization best practices.
Qualifications
Required Qualifications
Background
Education: Bachelor’s or Master’s degree in Computer Science, Information Systems, Statistics, or a related quantitative field.
Experience: 5+ years of experience in BI engineering, data engineering, or a highly technical analytics role.
Data Architecture Expertise
Data Integration & Architecture: Practical experience working with data from multiple, disparate systems and successfully aligning them into unified, high-integrity data models within a modern data warehouse.
Data Warehousing: Deep practical experience in data warehousing principles, proven experience working with cloud data warehouses such as Databricks, Snowflake or BigQuery
Preferably Databricks
Data Modeling: Strong understanding of dimensional modeling (Star/Snowflake schemas) and modern data stack tools (e.g., dbt).
SQL Mastery: Expert-level SQL skills (complex joins, window functions, and performance tuning)
BI Tooling: Deep expertise in at least one enterprise BI platform (e.g. Tableau, Power BI, Looker, or Sigma).
Preferably Omni + Power BI
Professional & Leadership Competencies
Strategic Solutioning & Communication: Proven analytical and creative design skills, with the ability to translate complex problem-solving and system designs into clear narratives for audiences ranging from entry-level employees to senior leadership.
Collaborative Agility: Ability to thrive in a team-oriented, fast-paced environment while managing multiple concurrent projects and shifting priorities seamlessly as business needs evolve.
Preferred Qualifications
Experience with version control systems (Git) and CI/CD workflows.
Experience working in an Agile/Scrum environment.
Experience working in a global team
Experience working 100% remote
Experience of the ResTech industry
Experience with Sales Force
Knowledge of statistical analysis and machine learning concepts.
Barcelona, Spain Remote (Country) Full-time
Cint is hiring a Senior BI engineer
About company
Discover the power of Cint Exchange, the largest online marketplace. Join Cint to revolutionize your market research experience.
Cint provides a global research marketplace that connects businesses with survey participants, enabling high-quality data collection and insights at scale. The platform supports researchers, brands, product managers, panel managers, academics, media agencies, and ad-tech platforms with tools for sourcing respondents, campaign measurement, and community management.
With a focus on data quality and global reach, Cint offers solutions across industries to accelerate insights and improve decision-making through trusted, consented audience data.