Job Description

OVERALL PURPOSE

We're looking for a

Senior Analytics Engineer

to join our data team. You will be a technical leader, focused on building a reliable, governed, and high-impact dbt analytics layer.


As a member of the Data team, your primary focus will be to combine raw information from different sources to create consistent and consumption-ready formats. More specifically, you will need to construct and test architectures that enable data extraction and transformation for predictive or prescriptive modelling.

RESPONSIBILITIES

Design new and own the end-to-end analytics layer and establish data governance standards (data tests, data quality and semantic layers). Define and enforce high modeling standards and best practices for dbt and source control workflows. Convert complex, ambiguous business challenges into clear, actionable metrics and models. Partner with business stakeholders to align data delivery with strategic objectives and present technical work clearly. Coach and guide intermediate engineers, actively shaping the team's technical roadmap.

THE SKILLS AND EXPERIENCE WE'RE LOOKING FOR

5+ years in Analytics/Data Engineering. Expertise in dbt and advanced SQL. Expert experience with one modern cloud warehouse (e.g., Snowflake, Google BigQuery, or Amazon Redshift). Experience with an orchestrator (e.g., Apache Airflow, Dagster, or Prefect) for managing dependencies outside of dbt. Expert in BI tool administration and semantic layer design (e.g., LookML). Demonstrated experience designing and implementing data contracts and semantic layers. A track record of high-impact, business-aligned data solutions. Proven ability to lead projects, manage stakeholder expectations, and mentor team members. Experience with system design - keeping performance and efficiency in mind, whilst aware of trade-offs. * Prior experience or a strong interest in the FinTech space.