THE ROLE
We are looking for a Senior Analytics Engineer to join our team and help shape the future of our data strategy.
In this role, you will transform raw data into high-quality, self-serve data artifacts, applying a quantitative framework to solve complex business problems.
You are someone who bridges the gap between raw engineering and business insights, ensuring our data ecosystem is scalable, trustworthy, and actionable.
WHAT YOU'LL BRING
Design and build flexible, trustworthy data models using dbt and SQL.
You will transform data from multiple sources into reusable, business-friendly datasets.
Work directly with Product, Marketing, Sales, and Finance to define requirements, realign expectations when scope changes, and deliver technical solutions to business needs.
Lead discovery on data tools and infrastructure.
Participate in the technical design of schemas and pipelines, ensuring best practices for project architecture and QA.
Build and maintain semantic layers and documentation to enable self-service analytics, helping data consumers find the right datasets to answer questions quickly.
Proactively identify design flaws in data models and implement fixes.
Manage the end-to-end ecosystem, including ETL/ELT, data governance, and performance optimization.
Research solutions independently and know when to ask for help versus when to innovate.
Translate complex business questions into technical specs and present findings to non-technical stakeholders.
Participate in system design and offer sound guidance on data risks and dependencies.
WHAT WE ARE LOOKING FOR
4+ years of applied analytics/data engineering experience, preferably within a fast-paced tech company or consulting environment.
Expert-level SQL:



Ability to write, troubleshoot, and optimize complex scripts for performance and cost.
dbt (Data Build Tool): Proven experience using dbt to manage the transformation layer of the modern data stack.
Data Modeling: Strong expertise in industry concepts (Star Schema, Snowflake Schema) and building semantic layers.
Cloud Warehousing: Familiarity with cloud platforms (GCP, AWS, Azure) and warehouses (Snowflake, BigQuery, or Redshift).
BI & Visualization: Proficiency in defining data models and measures in tools like Looker or Tableau.
WHAT DO WE OFFER
We enjoy spending time together, working closely with other local colleagues, and getting to know one another.
Our Buenos Aires offices (Villa Crespo or Mar del Plata) are fully equipped with refreshments and great common spaces!
Premium healthcare through OSDE for the employee and their immediate family members.
Mendel prepaid card with a monthly allowance for grocery purchases.
Monthly reimbursements for Wi-Fi/electricity expenses.
Monthly reimbursements for training/English classes.
100% covered "Plan Total" membership at Sportclub.
Access to a our benefits platform through Bonda.
A adaptable vacation policy.
WE SUPPORT YOU BEING YOU
DEPT® is an equal opportunity employer (EOE).
We believe our work is at its best when our people feel safe and free to be themselves.
We're committed to an inclusive and barrier-free recruitment and selection process and workplace, regardless of anyone's lived experience, race, color, religion, sex, national origin, age, disability, and genetic information.
So tell us about any accommodations you need.
It's totally confidential and only used to make sure you feel fully supported at every step.
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📌 Senior Analytics Engineer (Rincón de los Sauces)
🏢 Dept
📍 Rincón de los Sauces