Company Description
Serasa Experian is Brazil's first and largest Datatech company. A leader in intelligence solutions for risk and opportunity analysis, with a focus on credit journeys, authentication, and fraud prevention. With cutting-edge technology, innovation, and the best talent, it transforms the uncertainty of risk into the best decision, helping people achieve their dreams and companies of all sizes and segments to thrive.
We have 22,000 people operating in 32 countries and every day we are investing in new technologies, talented professionals, and innovation to help all our clients maximize every opportunity. With corporate headquarters in Dublin, Ireland, Experian is listed on the London Stock Exchange (EXPN) and is part of the FTSE 100 index.
Job Description
Job description
We are looking for a Senior Analytics Engineer to strengthen our data team. This person will be a reference in building the analytical and semantic layer, transforming raw data into reliable, high-performing models ready for consumption, enabling actionable insights, consistent metrics, and scalable data products.
We work with Databricks/Lakehouse and we are looking for someone who enjoys combining engineering + modeling + business rules, with attention to governance, quality, and analytical user experience (BI/consumption). In a modern scenario, this directly connects with governance and discoverability via catalog (e.g., Unity Catalog) and with the "translation" of data into business concepts.
Responsibilities
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Design and evolve analytical data models (facts, dimensions, aggregations, metrics/KPIs), with a focus on Gold and Semantic layers, ensuring consistency and reuse.
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Implement modeling standards (e.g., medallion architecture) and best practices for delivering data for analytical consumption, with attention to contracts, granularity, compliance, and traceability.
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Act as a bridge between business and engineering, translating needs into well-defined models and datasets (metric definitions, rules, hierarchies, conformed dimensions).
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Ensure data quality and reliability (tests, validations, controls, consistency across layers), reducing rework and increasing confidence.
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Optimize performance of models and queries (Databricks SQL/Delta), including physical design and choices that improve cost/latency for consumption.
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Collaborate on the evolution of the analytical architecture and data ecosystem (governance, catalog, observability, and development standards).
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Support stakeholders and analytics/BI teams in the correct use of data (documentation, data discovery, enablement, and continuous improvement).
Requirements
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Solid experience with SQL and Python applied to pipelines and analytical modeling.
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Practical development experience with Databricks (notebooks, jobs/workflows, and/or Databricks SQL).
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Experience with data modeling for analytics, especially in Gold and semantic layer (metrics, dimensions, fact tables, conformance).
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Familiarity with cloud environments (AWS, Azure, or GCP).
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Engineering best practices: version control (Git), documentation, and collaboration (e.g., Confluence, PR standards).
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Clear communication and ability to explain concepts and metrics to technical and non-technical audiences.
Differentials
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Power BI: experience with dimensional modeling, semantic layer, and especially performance (e.g., model design, cardinality, relationships, best practices for queries and consumption).
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Experience with dbt, Airflow, or orchestration/transformation tools (beyond Databricks native).
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Experience with observability/quality (tests, expectations, alerts, SLAs).
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Experience in domains such as billing, finance, or operations.
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Experience with advanced analytics initiatives (predictive/ML) and their relationship with reliable and governed data.
Qualifications
Qualifications
- sql
- databricks
- data modeling
- analytics
Additional Information
Serasa Experian is much more than you imagine. With the purpose of creating a better future, expanding opportunities for people and companies, in Brazil we have more than 4,000 people working in diverse teams and specialties. Here, every knowledge and diversity complement each other and you can work on what you love most. We are committed to building an inclusive culture and an environment in which people can balance their careers with their personal commitments and interests, prioritizing well-being.
We are very dedicated to being one of the best and most innovative companies to work for in the country, enabling incredible experiences and careers for our people. Our strong people-first approach is recognized externally through various market certifications: we have been awarded by Great Place To Work™ in 24 countries and by the international Top Employers certification, and we are recognized as one of the best companies for young professionals with a 4.6 rating on Glassdoor. Each recognition indicates that we are on the right path, providing an increasingly better work environment for our talent.
Experian Careers - Creating a better tomorrow together
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