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Senior Data Engineer (Analytics | Remote)

Role overview

Qualifications

  • 6+ years of experience as a Data Engineer or in a similar role, preferably in a SaaS scale-up with analytics stakeholder exposure
  • Deep expertise in SQL and Python for transforming raw data into clean, accurate, and performant data models
  • Proven track record of architecting and building a Data Warehouse or analytics infrastructure from scratch, including data modeling standards, governance frameworks, and a modern data stack
  • Strong expertise in Marketing Analytics, including hands-on integration with marketing platforms and knowledge of attribution modeling, funnel analysis, and campaign performance

Responsibilities

  • Architect and build iubenda’s Data Warehouse from scratch, defining data architecture, modeling conventions, governance standards, and a scalable stack
  • Design and implement end-to-end data pipelines (dbt) to ingest, transform, and serve raw event logs, product data, and third-party sources as canonical datasets
  • Own the Marketing Analytics data engineering domain, including data pipelines and configurations of SDKs and middleware feeding advertising platforms and the data warehouse for measurement of campaign performance, attribution, funnel conversion, and A/B testing
  • Build foundational data infrastructure enabling Data and Revenue Analysts to self-serve dashboards and insights using PowerBI or other visualization tools

About the company

iubenda logo

iubenda

RegTech (Regulatory & Compliance Technology)

At iubenda, we take a 360° approach to data law compliance and serve more than 80,000 clients worldwide. Because we believe in the importance of a comprehensive approach to data law compliance, we keep track of the major legislations (including the GDPR, LGPD, CCPA, ePrivacy+ more) and build solutions with the strictest regulations in mind, giving our clients the ability to easily customize as needed. Our solutions are affordable, available in 9 languages (EN-US,EN-GB, IT, DE, PT, ES, FR, RU, NL) lawyer crafted, customizable with the added benefit of being remotely monitored by our lawyers to ensure that they are up-to-date with current regulations. http://iubenda.com #partofteamblue Our solutions include ▪Privacy Policy Generator: For websites https://iubenda.com/ For apps https://iubenda.com/en/mobile For Facebook apps https://iubenda.com/en/facebook ▪Privacy Controls & Cookie Solution: Complies with provisions of the European Cookie Law (https://iubenda.com/en/iubenda-cookie-law-solution) ▪Internal Privacy Management https://iubenda.com/en/internal-privacy-management ▪Consent Database https://iubenda.com/en/consent-solution ▪Terms & Conditions generator: https://www.iubenda.com/en/terms-and-conditions-generator ▪Resources: iubenda Knowledge Center https://iubenda.com/en/help iubenda (free) webinars (available in several languages; applicable to multiple laws/regulations) https://iubenda.link/webinar-overview

Company details

Company typeSME
IndustryRegTech (Regulatory & Compliance Technology)
Company size51 - 200

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Job description

🧬 About us

We’re iubenda, the team turning compliance into a growth engine. We help over 110K businesses all around the world build trust, boost performance, and grow without limits. Now part of team.blue (https://team.blue/), we’re scaling privacy tech with confidence, creativity, and a little bit of attitude. Join a team that moves fast, thinks big, and makes privacy feel exciting again!


🎯 Mission & Core Purpose

We’re looking for an experienced Senior Data Engineer to own the design and build of iubenda’s data infrastructure from the ground up. You will be the founding force behind a comprehensive Data Warehouse solution, turning raw data streams from our product, marketing, and business operations into clean, reliable, and insightful data assets. Reporting to the Director of Platform Engineering, you will partner with Marketing, Product, and Growth teams to build scalable analytics foundations that power data-driven decisions across the entire company.


💼 Key Responsibilities

- Architecting and building iubenda’s Data Warehouse from scratch - defining the overall data architecture, modeling conventions, governance standards, and a scalable technical stack that can grow with the company.

- Designing and implementing end-to-end data pipelines (dbt) that ingest, transform, and serve raw event logs, product data, and third-party sources as canonical, reliable datasets.

- Owning the Marketing Analytics data engineering domain: owning the data pipelines and configuration of backend and frontend SDKs and middleware elements that lead data to advertising platforms and iubenda data warehouse, enabling the measurement of campaign performance, attribution, funnel conversion, and A/B testing.

- Building foundational data infrastructure that empowers Data and Revenue Analysts from Finance, Marketing, Product, and Sales teams to independently build dashboards, explore data, and make informed decisions utilizing tools like PowerBI.

- Establishing high data integrity standards, SLAs, alerting mechanisms, and documentation practices to ensure timely, accurate, and trustworthy data delivery across all consumers.

- Defining and executing the strategic roadmap for data foundations and analytics capabilities, translating stakeholder needs into prioritised technical requirements, and serving as the internal technical thought leader for data modeling, ETL processes, and the modern data stack.

- Partnering with Engineering and Product to understand how users interact with iubenda’s products, instrumenting data pipelines correctly from the source, and transforming event logs into insightful data marts.

- Becoming the internal expert on iubenda’s data architecture - owning the full lifecycle from data instrumentation to production-ready, reporting-grade datasets compatible with existing finance and group-level data schemas.



👤 Your Profile

You have experience in scale-up environments (SaaS experience is a plus) and a proven track record of building data infrastructure from an early stage. You combine deep technical data engineering skills with a strong ability to understand business needs - especially across Marketing, Finance, and Product. You take ownership, move fast, and don’t let perfect be the enemy of effective.


💡 Experience & Skills

  • 6+ years of experience as a Data Engineer or in a similar role, preferably in a SaaS scale-up, and strong exposure to Analytics needs from stakeholders.

  • Deep expertise in SQL and Python for transforming raw data into clean, accurate, and performant data models.

  • Proven track record of architecting and building a Data Warehouse or analytics infrastructure from scratch, including data modeling standards, governance frameworks, and the definition of a modern data stack.

  • Strong expertise in Marketing Analytics is required. Topics like hands-on integration with marketing platforms (Google Ads, Meta, HubSpot, Salesforce, or similar) are important, while attribution modeling, funnel analysis, and campaign performance are a plus.

  • Proficiency in dbt for building and managing multi-layer data transformations (staging, intermediate, and mart layers), including testing and documentation.

  • Experience with workflow orchestration tools such as Airflow or equivalent platforms.

  • Hands-on experience with modern cloud data warehouses: e.g., Snowflake, BigQuery, or Redshift.

  • Experience enabling the construction of insightful dashboards and self-serve reporting in visualization platforms such as PowerBI, Tableau, or similar for Data Analyst partners.

  • Ability to define and execute a strategic roadmap for data foundations - setting technical priorities, establishing data governance, and driving best practices across the organisation.

  • A “full-stack mindset”: not hesitating to do what it takes to solve a problem end-to-end, even if it goes outside the original scope.

  • A strong bias for action and the ability to thrive in ambiguity, taking initiative to create clarity and forward progress.

  • Excellent written and verbal communication skills in English, with the ability to translate complex technical concepts for non-technical stakeholders.



🌐 Location

At iubenda we believe in remote-first work. While you can work from anywhere in Mauritius, we encourage regular in-person collaboration at our Port Louis office, typically once per week.
This role involves working with the team on CET hours, meaning your schedule will align with this time zone to ensure smooth collaboration.


🎁 Benefits

  • Healthy work-life balance 🌴 We offer a remote-first employment agreement with a 40-hour workweek, 20 paid days off (increasing to 25 from the second year), plus national holidays, all to help you thrive both professionally and personally.

  • Coworking gatherings 🏔️ We regularly come together as a team through domestic and regional gatherings.

  • All-in-One Flex Allowance 💳 A yearly allowance that you can tailor to your personal needs, whether it’s private health coverage, meal vouchers, childcare, learning, fitness, or other lifestyle choices. You can invest in what matters most to you.

  • Work equipment 💻 An equipment allowance to help you create the perfect setup and perform at your best.

  • Collaborative, multicultural team 🧩 Join a team of talented, international colleagues in a friendly, open, and highly collaborative environment.


Please send your CV in English.
Want to know more about iubenda?
Check us out at:
iubenda.com | LinkedIn | Facebook  |Twitter

Privacy
By applying, you hereby declare that you have read and understood our privacy policy (https://www.iubenda.com/privacy-policy/96274994). To ensure a fair selection process and verify your identity, we may ask you during video interviews to disable virtual backgrounds or filters, show an ID, or answer follow-up questions. If you need an alternative arrangement, please let us know, and we will accommodate.

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Marcus Rivera

Chief Revenue Officer

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