Analytics Engineer Specialist
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 19h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 21d ago
The date the source published, not the day we noticed it (2026-08-25). Last seen at its source 3h ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Brazil
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $90k–150k/yr
Middle 50% of 21 listings that do state pay — Engineering · all levels · Brazil · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
workable employer's own board first seen 10d ago · last seen 3h ago
The listing
We are seeking a highly skilled and business-driven Specialist Analytics Engineer to join our Finance Data Team. In this pivotal role, you will architect and implement scalable, high-performance analytical solutions by integrating our data with the Databricks Lakehouse Platform. You will be instrumental in translating complex business logic from financial data into curated data marts that power strategic decision-making across the organization. You will collaborate cross-functionally with Finance, Product, Engineering, and Business stakeholders to ensure our data infrastructure drives business impact, data democratization, and innovation.
- Lead the architecture and development of enterprise-grade Data Products, bridging the gap between SAP's business semantic layer and the Databricks Lakehouse.
- Transform and model complex SAP source data (e.g., Finance, Sales) within Databricks to build governed, performant, and business-oriented data marts using PySpark and SQL.
- Design and oversee the development of strategic dashboards and analytical layers in tools like Tableau or QlikSense, ensuring they are powered by the curated data in Databricks.
- Act as a data advisor for key departments, helping them leverage SAP data to define KPIs, conduct advanced analyses, and build data-driven decision-making frameworks.
- Ensure standardization, governance, and version control of implemented analytical solutions using tools like dbt and Git, integrating them seamlessly with existing data pipelines.
- Champion initiatives for analytical automation and data democratization, promoting the use of self-service tools and internal training on our SAP and Databricks stack.
- Collaborate with Data Engineering, Product, and Technology teams to build solutions that connect data to digital products, processes, and business strategies.
- Mentor other analytics professionals, fostering technical development, methodological consistency, and data storytelling best practices.
- Represent the Analytics Engineering discipline in data governance, data quality, and data architecture committees, contributing to enterprise-level guidelines for our integrated data platform.
Requirements
- Strong experience with SQL and PySpark for transforming, modeling, and processing large-scale, complex datasets, particularly from SAP systems.
- Understanding of SAP data structures and core business processes (e.g., Finance (FI/CO))
- Proven ability to design and build analytical views and reusable data assets, aligned with business logic and performance standards.
- Proficiency in visualization tools preferably Tableau or equivalent platforms (e.g., Qlik Sense, Power BI, Looker).
- Hands-on experience with Databricks, including the development of business-oriented data marts and analytical models.
- Familiarity with dbt, Git, and collaborative documentation tools (e.g., Confluence, Notion, Markdown-based wikis).
- Ability to translate business requirements into governed, maintainable, and scalable analytical solutions.
- Design cross-domain analytical solutions that are interoperable and scalable beyond individual products or squads.
Benefits
- Competitive and market-aligned salary.
- Remote work — wherever you are, you’re part of the team!
- Home office allowance through a monthly deposit in the RecargaPay app.
- Health and dental plans with no co-pay.
- Life insurance.
- Flexible meal allowance (via Flash).
- TotalPass membership to take care of your health.
Diversity & Inclusion at RecargaPay
At RecargaPay, you’ll have the freedom to be who you are because we believe that diverse perspectives and experiences make us more creative and stronger. Here, everyone is welcome to express themselves authentically. We value the richness of each journey and the multiple ways of seeing the world, without distinctions of gender, race, sexual orientation, age, religion, or any other characteristic that makes us unique.
About the Use of Your Data
By sharing your resume with us, you authorize the use of your data for analysis during the selection process and possibly for other opportunities within the RecargaPay group. You can request the update or deletion of your information at any time, in accordance with LGPD (General Data Protection Law).