MayaLogic
Careers · AI & Data

Senior Data Engineer

Build the warehouses, lakehouses, pipelines, and semantic layers our customers run their business on — with the testing, lineage, and governance that make them trustworthy.

Location
Remote (EMEA / APAC overlap)
Seniority
Senior · 6+ years
Type
full-time
Posted
2 April 2025
The role

What you’ll do.

  • Lead the design of customer data platforms (Snowflake, BigQuery, Databricks).
  • Author dbt models, lineage, and tests against documented data contracts.
  • Operate Airflow / orchestration in production with SLOs and freshness alerts.
  • Co-design semantic layers with stakeholders; reconcile metrics across teams.
What we’re looking for

Requirements.

  • 6+ years of data engineering experience in production.
  • Strong SQL, dbt, and at least one orchestration tool (Airflow, Dagster, Prefect).
  • Deep experience with at least one cloud warehouse.
  • Comfort owning data quality, governance, and PII handling end to end.
Interview process

What to expect.

The process is designed to show how you think and collaborate in work that resembles the role — no puzzle interviews, no unpaid production assignments.

  1. 01 · Intro

    Role fit and working style

    A practical conversation about the role, time-zone overlap, compensation, and the kind of client problems you want to own.

  2. 02 · Work sample discussion

    Bring evidence of judgement

    Walk us through a shipped system, design case study, incident, repository, or architecture decision. We focus on trade-offs, not trivia.

  3. 03 · Peer review

    Collaborate with senior teammates

    You meet the people who would review your work. Expect questions about failure modes, communication, quality bars, and maintainability.

  4. 04 · Offer and first ninety days

    Clarity before commitment

    We share the engagement shape, expectations, benefits, compensation, and what success looks like in your first quarter.

Culture in this role

The standards you will help uphold.

MayaLogic roles are senior because they include judgement, communication, and ownership of how software behaves after it leaves your laptop.

Role-specific quality bar

AI and data work ships with evaluation, lineage, PII handling, cost controls, and observability as first-class requirements.

Review culture

Every meaningful change is reviewed for behavior, security, maintainability, performance, and whether the client can own it.

Production responsibility

We write runbooks, instrument critical paths, and treat supportability as part of the role rather than someone else’s clean-up.

How to apply

Send us a note via the contact form.

Mention the role title and link to whatever best represents how you work — a repository, a write-up, a system you are proud of. Until our applicant tracking system lands in Phase 3, the contact form is the fastest path to a real conversation.

Not quite the right role?

We still want to hear from you.

Send a note with the link to whatever best represents how you work. We keep an interest list for senior builders we would love to work with.

Senior Data Engineer — Careers | MayaLogic