Believe

www.believe.com

6 Jobs

3,013 Employees

About the Company

Believe is one of the world’s leading digital music companies. Believe’s mission is to develop independent artists and labels in the digital world by providing them the solutions they need to grow their audience at each stage of their career and development. Believe’s passionate team of digital music experts around the world leverages the Group’s global technology platform to advise artists and labels, distribute and promote their music. Its 1,651 employees in more than 50 countries aim to support independent artists and labels with a unique digital expertise, respect, fairness and transparency. Believe offers its various solutions through a portfolio of brands including TuneCore, Nuclear Blast, Naïve, Groove Attack and AllPoints. Believe is listed on compartment A of the regulated market of Euronext Paris (Ticker: BLV, ISIN: FR0014003FE9). www.believe.com

Listed Jobs

Company Name: Believe
Job Title: Senior Data Engineer
Job Description: **Job Title** Senior Data Engineer **Role Summary** Lead the design, development, and operation of end‑to‑end data pipelines within the Data Platform squad, utilizing an AWS‑Snowflake stack to ingest, transform, and stage large volumes of data across Bronze, Silver, and Gold layers, ensuring performance, cost efficiency, and security while documenting best practices. **Expectations** - 6+ years of professional data engineering experience with AWS and Snowflake. - Strong proficiency in Python, Spark (Scala or PySpark), SQL, and Databricks. - Demonstrated experience designing automated ingestion pipelines using AWS Step Functions, S3, and related services. - Proven ability to model data marts, write unit and integration tests, and implement monitoring and alerting. - Familiarity with scaling, cost‑control, and security practices in cloud data environments. - Comfortable working in a Scrum/Agile team, contributing to both Build and Run responsibilities. - Fluent in English (written and spoken). **Key Responsibilities** - Architect and develop scalable ingestion pipelines on AWS (Step Functions, EC2, Lambda, S3). - Execute data transformations using Python, Spark/Scala, Databricks notebooks, and SQL. - Implement data quality and unit tests (Python unittest/pytest, Spark test frameworks). - Model and maintain Bronze, Silver, and Gold data layers in Snowflake, applying proper data modeling techniques. - Monitor pipeline performance, error rates, and data freshness; troubleshoot and optimize. - Track and report on cloud costs and enforce security best practices (IAM, encryption, network isolation). - Produce and maintain technical documentation (Data Galaxy, Confluence). **Required Skills** - AWS services: Step Functions, S3, Lambda, IAM, CloudWatch. - Snowflake data warehouse. - Python (ETL, scripting). - Apache Spark (Scala and/or PySpark) or equivalent. - Databricks notebook development. - SQL (Snowflake dialect). - Data modeling (star/snowflake schemas). - Test frameworks (Python unit tests, Spark tests). - Monitoring/alerting (CloudWatch, Snowflake alerting). - Cost optimization and security controls in cloud. - Agile/Scrum collaboration. - Strong written and verbal communication in English. **Required Education & Certifications** - Bachelor’s (BAC+3) to Master’s (BAC+5) degree in Computer Science, Engineering, Data Science, or related field. - Minimum 6 years of relevant industry experience. ---

Company Name: Believe
Job Title: Finance Data Analyst (H/F/N)
Job Description: **Job Title:** Finance Data Analyst (H/F/N) **Role Summary** Deliver data-driven insights to Tech, Product, Marketing, Operations & PMI teams by maintaining and enhancing a critical data mart, building calculation pipelines, and creating Power BI dashboards. Ensure data quality, reliability, and accessibility for business decision‑making. **Expactations** - Own the end‑to‑end quality and performance of the finance data mart. - Design and implement robust calculation pipelines that support operational and financial analytics. - Produce clear, actionable Power BI dashboards and train stakeholders in self‑service usage. - Serve as data steward, documenting flows, logic, and key metrics for cross‑domain teams. - Collaborate proactively with data engineering, finance, and business units. **Key Responsibilities** - Monitor data mart performance, troubleshoot anomalies, and coordinate scaling efforts with data engineering. - Build and maintain calculation pipelines, ensuring traceability, consistency, and maintainability. - Design, develop, and sustain Power BI dashboards; provide training and support to end users. - Document data flows, calculation logic, and KPI definitions. - Conduct data quality analysis and implement corrective actions. - Translate business requirements into data products and support cost modeling, project tracking, and FinOps initiatives. **Required Skills** - 3+ years as Data Analyst or BI Analyst (business‑critical analytics). - Advanced SQL; strong data‑warehousing concepts. - Power BI expertise (or equivalent visualisation tool). - Experience designing calculation logic, KPIs, and cross‑domain metrics. - Excellent analytical, troubleshooting, and communication skills. - Autonomous, rigorous, and proactive approach to deliverables. *Bonus/Preferred* – Azure, Python, dbt, or cloud cost analytics experience. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Finance, Statistics, Mathematics, or related field. - Certifications in SQL, Power BI, or data warehouse architecture are advantageous.

Company Name: Believe
Job Title: Data Analyst Intern (H/F/N)
Job Description: **Job Title:** Data Analyst Intern **Role Summary:** Assist the Product Team in developing data-driven insights to support artists and labels. Build and enhance Power BI dashboards, conduct ad‑hoc analyses, and transform findings into actionable data models for use in Believe’s products. **Expectations:** - Complete the internship within the academic year, delivering functional dashboards and analytical models. - Communicate insights effectively in English, both written and verbal. - Demonstrate initiative, rapid learning, and curiosity in data science tools. **Key Responsibilities:** - Design, develop, and maintain Power BI dashboards tracking TikTok trend detection models, product adoption, and other performance metrics. - Perform ad‑hoc analyses to inform artist strategy across career stages. - Convert insights into data models for integration into product features. - Monitor and report on data accuracy, model performance, and dashboard usage. **Required Skills:** - Proficiency in SQL for data extraction and manipulation. - Experience with data visualization tools (Power BI preferred). - Python programming knowledge is a plus. - Strong analytical mindset, detail orientation, and ability to translate data into clear recommendations. - Excellent written and spoken English. **Required Education & Certifications:** - Current enrollment in the final year of a Master’s program in Engineering, Business, or a data‑centric discipline. - Relevant coursework or prior internship/experience in data analysis. ---

Company Name: Believe
Job Title: Senior Salesforce Engineer (H/F/N)
Job Description: Job title: Senior Salesforce Engineer (H/F/N) Role Summary: Lead the design, development, and maintenance of Salesforce applications across Sales Cloud, Service Cloud, and related products. Own the full lifecycle of solutions, ensuring performance, security, and scalability while aligning with business processes for sales and customer support. Expectations: • Minimum 5 years of proven, production‑ready Salesforce development experience. • Strong software engineering mindset with a focus on clean code, TDD, and continuous delivery. • Excellent communication skills in English (B2/C1 or fluent). • Passion for innovation, collaboration, and agile practices. Key Responsibilities: - Analyze and challenge business requirements; validate feasibility and design solutions. - Contribute to roadmap planning and execute prioritized tasks. - Collaborate with Product teams to estimate and build technical solutions that meet business needs. - Develop, test, and deploy Salesforce applications using APEX, Visualforce, Lightning Web Components, and GitLab CI/CD pipelines. - Ensure application performance, resilience, security, and scalability. - Participate in code reviews, pair/mob programming, and adhere to best practices (Clean Code, Software Craftsmanship). - Document technical specifications, release notes, and conduct unit/integration tests. - Continuously improve development processes and share knowledge through tech talks, demos, and frameworks like TDD and agile retrospectives. - Manage releases, including coordination, testing, and post‑deployment monitoring. Required Skills: - Deep expertise in Salesforce platform (Sales Cloud, Service Cloud, Lightning Experience). - Proficient in APEX, Lightning Web Components, Visualforce, and related tools. - Experience with GitLab, CI/CD workflows, and version control best practices. - Strong analytical skills, attention to detail, and commitment to code quality. - Familiarity with CRM sales and customer‑support processes. - Experience with TDD, code reviews, pair programming, and agile methodologies. - Excellent problem‑solving and communication abilities in English. Required Education & Certifications: - Bachelor’s degree in Computer Science, Information Systems, or equivalent (degree not mandatory). - Salesforce certifications (Developer, Platform Architect, or similar) – required. - Mulesoft certification is a strong advantage.

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