Available for 1–2 new engagements · Q3 2026

We design the data & AI strategy — then build the platform that runs it.

BEM Data is a boutique engineering studio for fintech, trading and enterprise teams. From architecture blueprint to production Databricks, dbt, Spark and GenAI — delivered end-to-end, remote, on a direct contract.

5+ enterprise data platforms delivered US / EU hours · remote-first Direct contract — no agency margin

Platforms we design & build with

Databricks dbt Apache Spark Snowflake Azure AWS Airflow Python LLMs / GenAI Kafka
Two ways to work with us

Strategy first. Then a platform that ships.

Most teams don't need another pair of hands — they need someone who owns the outcome. BEM Data does both: the plan and the build.

Engagement 01

Strategy & Architecture

A senior, vendor-neutral blueprint for your data & AI stack — grounded in the P&L behind it, not just the pipeline.

  • Data & AI platform architecture review and target-state design
  • Build-vs-buy, tooling and cost/latency trade-off decisions
  • Governance, data quality and GenAI readiness roadmap
  • Delivery plan your own team can execute — or that we execute

Fixed-scope sprint · fractional advisory · retainer

Engagement 02

Build & Implementation

Implementation-as-a-Service. We take the blueprint to production — governed, tested, and handed over documented.

  • Databricks / dbt / Spark platform build & legacy migration
  • Production data pipelines with testing, CI/CD and observability
  • GenAI features shipped to production (RAG, agents, evals)
  • Trading & capital-markets data systems and quant tooling

Fixed-scope delivery · embedded lead · monthly retainer

5+
Enterprise data platforms delivered end-to-end
8+ yrs
Average engineering experience across the team
Fintech
Trading & capital-markets domain focus
Senior-only
No juniors, no offshore hand-off, no agency margin
Why teams pick BEM Data

An unusual combination: data engineering that speaks finance.

The rare studio that understands both the pipeline and the P&L it feeds — because we built both.

Finance-native engineering

Our engineers come from investment banking and quantitative trading as well as data engineering — M&A, capital markets, trading algorithms for equity and crypto funds. In fintech, we speak both languages.

End-to-end ownership

Strategy, architecture, build and handover from one accountable partner. No hand-offs between a "strategy deck" team and an offshore build team that never talk.

Production-grade, governed

Testing, CI/CD, lineage and data-quality gates from day one. Latency and data quality matter — in trading, a bad row is money lost.

Selected engagements

Outcomes, not activity.

Client names withheld under NDA — the pattern and the result are what matter.

Enterprise · Data Platform

Legacy pipelines → governed Databricks lakehouse

Led the migration of brittle legacy ETL to a governed Databricks + dbt + Spark platform with automated testing and lineage, unblocking a stalled analytics roadmap.

Weeks → hours
Time-to-insight for new data products
Fintech · Trading

Market-data & quant tooling for a trading desk

Built ingestion and analytics tooling for equity and crypto strategies — Fibonacci/multiples models, backtesting treated as pipeline tests, low-latency data paths.

Backtest-grade
Data quality gates on every strategy input
Capital Markets · GenAI

GenAI shipped to production, not to a demo

Designed and delivered a retrieval + agent workflow on top of a governed data layer, with evals and guardrails — moving GenAI from a slide to a production feature.

Prod, evaluated
RAG / agents with measured accuracy
Areas of work

Where we do our best work.

Six domains where a data & AI platform is the difference between shipping and stalling.

Data Platform Engineering

Lakehouse and warehouse builds on Databricks, dbt and Spark — from legacy migration to a governed, production-grade platform.

GenAI in Production

RAG, agents and LLM workflows shipped as real features — with evals, guardrails and a governed data layer underneath. Not demos.

Trading & Capital Markets

Market-data ingestion, quant tooling and low-latency data paths for equity and crypto strategies — backtesting treated as pipeline testing.

Data Governance & Quality

Lineage, contracts, testing and data-quality gates so the numbers can be trusted — because in finance a bad row is money lost.

Cloud & DataOps

Azure and AWS foundations, CI/CD, orchestration (Airflow) and observability — platforms that run reliably without a firefight.

Analytics & Decision Tooling

Metrics layers, quant analytics and decision tooling that connect the pipeline to the P&L it feeds.

How we work

Low-friction, senior, remote by default.

Direct contract via Deel or B2B — no third-party payroll margin, no offshore hand-off, US/EU working hours.

Discovery call

A 30-minute call to understand the goal, the constraints and whether we're the right fit. No pitch deck.

Scope & proposal

A written scope with milestones, deliverables and a fixed price or retainer. You know exactly what you're buying.

Build in the open

Weekly demos, code in your repos, decisions documented. You see progress, not status reports.

Handover

Documented, tested, owned by your team — or kept on a retainer. Your platform, not our lock-in.

Fighting your data infrastructure instead of shipping?

Tell us what you're building. If it's a fit, you'll hear back within one business day to schedule a 20-minute call.

  • Fintech, trading & enterprise data / AI
  • Remote · US/EU hours · direct contract
  • Strategy sprint or full build — your call
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Prefer email? Write to augusto.bastos.solutus@gmail.com — replies within one business day.