About MrQ
MrQ is an award‑winning online casino launched in 2018. We are big on tech, high performance and most of all – big on fun. Over the years, we have experienced explosive growth, which means we need more rock stars to join our quest for world domination.
Senior Data Engineer – Responsibilities
The Senior Data Engineer is responsible for designing, building and maintaining the core data platform infrastructure that powers analytics and decision‑making across the business. Working within the Data Delivery team, this role builds the canonical semantic model in BigQuery, develops robust DBT transformation pipelines, and migrates orchestration to Google Cloud Composer to create a scalable, well‑governed data platform. It is a hands‑on engineering role that also carries technical leadership responsibilities.
What You Will Do
Platform Engineering
* Design and build production‑grade DBT models (dimensions, facts, marts) in BigQuery following agreed naming conventions and modelling standards.
* Migrate DBT orchestration to Apache Airflow on Google Cloud Composer using the Cosmos library.
* Implement and maintain ELT ingestion pipelines with monitoring, alerting and SLA tracking.
* Enforce CI/CD practices: automated DBT testing on pull requests, environment promotion (dev → staging → prod) and SQL linting.
Standards & Governance
* Define and enforce naming conventions, modelling patterns and contribution standards across all data models.
* Document all DBT models with field‑level descriptions to populate the data catalog.
Collaboration & Leadership
* Work closely with the Data Architect to execute platform design decisions.
* Translate stakeholder requirements from Data Analysts into well‑scoped model changes.
Key Tasks
* Deliver the full canonical semantic model covering all data stakeholders.
* Document all models in the data catalog and support the metrics data dictionary sign‑off.
* Rebuild and standardise ingestion pipelines with consistent staging → intermediate → mart patterns.
* Maintain and evolve the semantic model as the business needs change.
* Monitor pipeline health, respond to alerting and maintain on‑call runbooks.
* Support infrastructure‑as‑code adoption as the DataOps function comes online.
What We’re Looking For
* Must Have: DBT, Apache Airflow, Google Cloud Platform (GCP), BigQuery, CI/CD, Python, SQL.
* Nice to Have: Terraform, QA, Airbyte, Data Governance, ThoughtSpot.
What We Offer
We provide a competitive salary package, additional leave days, birthday leave, four‑week parental leave, international health and life insurance, wellness incentives, a growth allowance, flexible working, and a supportive, multinational team culture.
We are committed to fostering a workplace that values and celebrates diversity. We welcome individuals of all backgrounds and experiences, and we believe that a diverse and inclusive environment leads to innovation and success. We actively promote equal opportunities for all employees and strive to create a space where everyone's voices are heard and respected. Join us in our journey to build a truly inclusive workplace where every person can thrive and contribute to our collective success.
To help our recruitment team work efficiently, please apply to the role that best matches your skills and experience. Our team will consider you for other similar roles as well!
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