Senior Data Engineer

Role Summary

About Kavak

As the first Mexican unicorn, with presence in several countries and an AI-first business model, at Kavak we are redefining the used car market and the experience of millions of users in LatAm. We have been one of the best valued companies in the region and recently closed an investment round of USD $300M led by Andreessen Horowitz, one of the largest investments they have made in Latin America. With this growth, we are excited to add more people to help us build the next chapter of our product, taking our efforts to build with artificial intelligence to the next level.

We are building with AI in our core operation; from conversational commerce, to generative marketing, to systems that extract insights from millions of interactions. We are a team that imagines the impossible, builds it and lives disruption, proactivity and ambition in a context of hypergrowth.

Kavak Values

1. Deliver Impact: You prioritize what generates measurable results and raise the bar using technology and data. You have a consistent track record of delivering relevant and measurable results.
2. Engage Fast: You act on problems and opportunities. You decide on time, advance in short cycles, and adjust when necessary without compromising standards.
3. Engage with Purpose: You act with extreme ownership, taking total responsibility for results that impact your work and aligning decisions with Kavak's vision and purpose.
4. Play to Win Together: You prioritize collective results over individual success.

Kavak's PLanning & Data team builds and operates the data layer that feeds Growth and Marketing: consolidation of multi-platform advertising investment, campaign attribution, customer cohorts, Value Based Bidding (VBB), retail metrics.

We are looking for a Senior Data Engineer with a vision for data architecture and experience operating high-volume pipelines. We expect you to understand the business problem, design the most appropriate technical solution and take it to end-to-end production — from ingestion (APIs, CDCs, Glue jobs) to the transformation and serving layers.

You will work closely with Growth and Marketing teams, and in collaboration with other Kavak teams or external suppliers when the project requires it. We value strong teamwork skills, clear communication and business orientation: understanding the problem before proposing a technical solution.

At Kavak, AI is a central part of daily life: the team works supported by tools such as Cursor, Claude, Codex and similar LLMs to accelerate development, analysis and problem resolution. Several AI agents operate within Growth; It is necessary to understand how they work and what they solve.

Build and evolve data products, including

• Consolidation of Marketing platforms
• Campaign attribution (L1/L2, target date, click date)
• Customer cohorts and behavioral signals (Amplitude, leads, funnel)
• Value Based Bidding (VBB) — value per segment for acquisition optimization
• Growth velocity and user status (qualified leads, changelog SCD2)
• CRM events

Operate and scale pipelines in production with Apache Airflow: monitoring, backfills, data gap diagnosis and runbooks.

Migrate and maintain the legacy stack (Redshift, Glue) towards the Martech data mesh in Databricks, proposing the most scalable architecture in each case.

Collaborate with multidisciplinary teams — Growth, Marketing, Data Science and external teams (internal or consulting) to align technical solutions with business objectives.

Ensure quality and governance: data contracts, CDC deduplication, PII, lineage and ownership metadata.

Actively participate in CI/CD: GitLab CI, pre-commit, code review and controlled deployments.

Responsibilities

• Understand the business and translate it into data solutions — work with Growth, Marketing and Media to define what to build, not just how to implement it.
• Design and implement end-to-end pipelines: ingestion from ad platform APIs, platform account CDCs, AWS Glue jobs (Python/Spark) and transformations in Landing → Refined → Serving layers.

Requirements

• 5+ years in Data Engineering with ownership of pipelines and models in production.
• Strong knowledge of data architecture: ability to evaluate alternatives and propose scalable solutions, not just consume what has already been implemented.
• Experience with 3-layer architectures (Landing → Refined → Serving) and, preferably, with data mesh patterns in Databricks.
• Advanced command of SQL and solid experience in Python for ETLs, integrations, ingestion scripts and automations.
• Experience with large volumes of data (billions of rows, incremental strategies, backfills, performance optimization).
• Production experience with dbt and at least one lakehouse platform (Databricks / Spark / Delta Lake).
• Experience with columnar storage and query: Delta Lake (Parquet format in lakehouse) and/or Redshift (legacy).
• Solid experience in AWS for data: S3, IAM, orchestration with Airflow and AWS Glue (Python/Spark jobs, ingestion and transformation).
• Experience in the full CI/CD cycle on data teams.
• Strong ability to work as a team and collaborate with business and technical profiles; ability to understand the problem with a focus on the business before implementing.
• Fluent Spanish; Technical English for documentation and tools.
• The position is remote with availability for occasional visits to the office. We look for availability for face-to-face meetings when they help accelerate decisions: workshops, technical definitions, sessions with Product/Business or critical delivery moments.

Desirable

• Experience in MarTech / AdTech: ad spend consolidation, attribution, cohorts, LTV, VBB/tROAS.
• Familiarity with Amplitude, Insider, Meta Ads, Google Ads, TikTok Ads.
• Knowledge of API development (FastAPI or similar frameworks).
• Experience using IDEs and AI assistants (Cursor, Claude Code, Codex, Codex or similar) as part of daily workflow.
• Understanding AI agents in production: how they operate, what problems they solve, and how to integrate with pipelines or data products.
• Experience with ML models in production (feature engineering, training datasets, maintenance of ML pipelines).
• Redshift → Databricks migration.
• Collaboration with Data Science in experimentation (A/B tests, incrementality).
• Benefits in Mexico
• 15 days of vacation the first year and 20 days from the second
• Vacation bonus: 25% of salaries corresponding to vacation days
• Bonus: 15 days per year
• IMSS: 100% quote
• Food vouchers: $1056, paid through a Sí Vale card

MetLife major medical expenses insurance: Access to a network of hospitals, doctors, laboratories and pharmacies; as well as nationwide care and the option of including your immediate family members at a preferential cost. Through the Happi App you will have access to the general and specific conditions as well as the current certificate.

Life Insurance

• Kavak car benefit: By completing 12 months in the company you can get an 11% discount on the purchase of a car from our inventory and/or give it to family and friends.
• Kavak Total: Extended warranty when using your Auto Kavak Benefit with a preferential cost.
• Financing: Payment plans with preferential interest rates and no service fee payment.
• Friends and Family: You can generate a discount code of $5,000.00 mxn per quarter and transfer it to family or friends.
• Car insurance: 5% discount on insurance for your vehicle through our partners.
• Amount: You can request an advance of your salary already worked and you can use the free discount coupon at Cinépolis, Cinemex, Soriana, Mobil, Oxxo Gas, Petro Seven, Innovasport, TDU, Flexi and Acapella.
• Health programs: Through the VRIM App we centralize free check-up, laboratory studies with discounts, medical evaluation, virtual consultation, appointments with specialists, psychological and nutritional care.
• Wellness programs: Network of gyms with national coverage, personal trainers, wellness applications such as nutrition, sleep management and therapy, through the Wellhub platform.
• Lenovo: Special discounts through our alliance site, interest-free months and free shipping on different products.
• Bebbia: You will get exclusive discounts on the hiring, installation, service and maintenance of water dispensers with the possibility of extension to family members.
• Tell me: Through the platform you will get discounts on online psychological therapy.

Benefits in Argentina

• Hiring modality: Dependency relationship with salary in USD.
• Prepaid: Osde 310 (family group).
• Blank salary.
• Includes 13 annual salaries (bonus).
• The Earnings scale is adjusted periodically.
• Vacation: 20 business days (to be enjoyed depending on the date of entry).
• Birthday off.
• Discount on the purchase of a car at Kavak.com.
• Discount on Wellhub (ex Gympass).
• Two days off for moving.
• Extended leave for birth and adoption according to current policy.
• Discount at Coderhouse and Digital House.
• Discount on Postgraduate, Master's and Executive Education at some of the country's universities.
• Order Now Plus: 110,000 ARS per month deposited as a cumulative balance for up to three months.
• Bonda: Platform with discounts on various brands such as Montagne, Despegar, Starbucks, YPF Infinia, Quicksilver, Vans, Naldo, Motorola, Samsung, Burger, Puma, Cines 2x1, Coca-Cola, Cabrales, Luigi Bosca and Pharma Plus.
• Unilever and Molinos: Access to wholesale purchases with significant discounts through the web.