Analytics Engineer

OVERALL PURPOSE

Were looking for a 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 teams technical roadmap.

THE SKILLS AND EXPERIENCE WERE 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.