Senior BI engineer

Cint; Barcelona; Presencial; EUR 70.000 - 100.000; Jornada completa

Descripción de la vacante

Cint is seeking an experienced BI/data engineer to design scalable data pipelines and sophisticated dashboards that empower executives and analysts. You will optimize SQL performance, govern data quality, and mentor junior engineers in a fast-paced, globally distributed team.

The role emphasizes collaboration with stakeholders to define KPIs, build robust data models, and leverage cloud warehouses such as Databricks, Snowflake or BigQuery to deliver insights at scale.

Formación

• Bachelor’s or Master’s degree in CS, IS, Statistics, or related quantitative field.
• 5+ years in BI/data engineering or a highly technical analytics role.
• Strong SQL, data modeling and data warehousing fundamentals.

Responsabilidades

• Pipeline & Data Modeling: Design, build, and maintain scalable automated data pipelines (ETL/ELT) and data models to support complex analytical requirements.
• Strategic Visualization: Develop dashboards and reporting tools for executive leadership and analysts.
• Data Governance: Establish metadata, documentation, and data quality practices for a single source of truth.
• Performance Optimization: Audit and optimize SQL queries and dashboard performance for low-latency data access.
• Stakeholder Partnership: Act as a technical consultant to define KPIs and translate business questions into technical needs.
• Mentorship: Lead code reviews and mentor junior engineers on data modeling and visualization.

Conocimientos

SQL Mastery

Data Modeling

BI Tools

Dashboard Design

Stakeholder Communication

Mentorship

Educación

Bachelor's or Master's in CS/IS/Statistics or related

Herramientas

Databricks

Snowflake

BigQuery

dbt

Power BI

Tableau

Looker

Descripción del empleo

Cint is a pioneer in research technology (ResTech). Our customers use the Cint platform to post questions and get answers from real people to build business strategies, confidently publish research, accurately measure the impact of digital advertising, and more. The Cint platform is built on a programmatic marketplace, which is the world’s largest, with nearly 300 million respondents in over 150 countries who consent to sharing their opinions, motivations, and behaviours.

We are feeding the world’s curiosity!

Who We Are

Cint is a pioneer in research technology (ResTech). Our customers use the Cint platform to post questions and get answers from real people to build business strategies, confidently publish research, accurately measure the impact of digital advertising, and more. The Cint platform is built on a programmatic marketplace, which is the world’s largest, with nearly 300 million respondents in over 150 countries who consent to sharing their opinions, motivations, and behaviours.

We are feeding the world’s curiosity!

Job Description

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.

Additional Information

Our Values

Collaboration is our superpower

• We uncover rich perspectives across the world
• Success happens together
• We deliver across borders.

Innovation is in our blood

• We’re pioneers in our industry
• Our curiosity is insatiable
• We bring the best ideas to life.

We do what we say

• We’re accountable for our work and actions
• Excellence comes as standard
• We’re open, honest and kind, always.

We are caring

• We learn from each other’s experiences
• Stop and listen; every opinion matters
• We embrace diversity, equity and inclusion.

More About Cint

We’re proud to be recognised in Newsweek’s 2025 Global Top 100 Most Loved Workplaces® reflecting our commitment to a culture of trust, respect, and employee growth.

In June 2021, Cint acquired Berlin-based GapFish – the world’s largest ISO certified online panel community in the DACH region – and in January 2022, completed the acquisition of US-based Lucid – a programmatic research technology platform that provides access to first-party survey data in over 110 countries.

Cint Group AB (publ), listed on Nasdaq Stockholm, this growth has made Cint a strong global platform with teams across its many global offices, including Stockholm, London, New York, New Orleans, Singapore, Tokyo and Sydney. (www.cint.com)

Additionally, in a world of AI, we want our candidates to understand our approach to the use of AI during the interview and hiring process, so we'd appreciate you reading our AI usage guide.