Snowflake Developer

Keyloop bridges the gap between dealers, manufacturers, technology suppliers and car buyers. We empower car dealers and manufacturers to fully embrace digital transformation. How? By creating innovative technology that makes selling cars better for our customers, and buying and owning cars better for theirs.

We use cutting-edge technology to link our clients’ systems, departments and sites. We provide an open technology platform that’s shaping the industry for the future. We use data to help clients become more efficient, increase profitability and give more customers an amazing experience. Want to be part of it?

Role Overview

We are looking for a Snowflake Developer / Data Engineer (IC3) to take self-directed ownership of features and small epics within our Snowflake data platform — including Bronze/Silver/Gold data layer architecture, ELT pipelines, and the data models that power analytics and reporting across Keyloop. Beyond hands-on delivery, you will lead design discussions for your own work, coach more junior developers, and work with stakeholders across Finance, Sales, and Operations to deliver reliable, scalable, and well-governed data products.

Key Responsibilities

Lead complete delivery of features and small epics on the Snowflake platform, from design through to production, without senior oversight

Design and implement Snowflake database objects: tables, views, streams, tasks, stored procedures, and dynamic tables

Build and maintain ELT pipelines using Boomi, dbt, or SQL-based transformations into Snowflake

Architect and manage Bronze / Silver / Gold data layers in line with Keyloop's data platform standards

Develop and optimise complex SQL for data transformation, aggregation, and reporting use cases

Implement Snowflake performance best practices: clustering keys, result caching, query profiling, and warehouse right-sizing

Own testing strategy for pipeline and model changes, ensuring comprehensive coverage beyond unit-level checks

Coach and support IC1/IC2 developers on Snowflake, SQL, and data engineering best practices

Lead technical design discussions for your features and represent the team in cross-functional planning meetings

Coordinate cross-functional data requirements with adjacent teams (Finance, Sales, Operations)

Support data quality checks, reconciliation processes, and lineage documentation

Manage Snowflake environment configuration across dev, QA, and production

Contribute to data governance: access control, data masking, row-level security, and tagging

Monitor pipeline health, proactively identify failures, and provide production support — including occasional out-of-hours incident response

Support UAT cycles with technical recommendations and sign-off

Produce clear technical documentation: data dictionaries, ERDs, pipeline runbooks

Required Skills & Experience

4–7 years of Snowflake development experience in a production data environment

Strong SQL skills — window functions, CTEs, recursive queries, and advanced aggregations

Hands-on experience with Snowflake-specific features: streams, tasks, dynamic tables, time travel, zero-copy cloning

Experience building ELT/ETL pipelines from source systems such as Salesforce, NetSuite, or ERP platforms

Understanding of dimensional modelling and data warehousing concepts (star schema, slowly changing dimensions)

Familiarity with Snowflake access controls: roles, grants, and row/column-level security

Experience with version control (Git) and CI/CD for data pipeline deployment

Ability to translate business data requirements into technical data models

Demonstrated ability to coach or mentor junior developers, and to lead technical discussions within a team

Desirable Skills

SnowPro Core or Advanced Data Engineer certification

Experience with dbt (data build tool) for transformation orchestration

Exposure to Boomi as an integration tool feeding Snowflake

Familiarity with Salesforce data structures and Salesforce reporting requirements

Experience with NetSuite financial data extraction and modelling

Knowledge of data observability tooling (Monte Carlo, Great Expectations, or similar)

Experience working within Agile delivery teams and Jira-based project management

Background in automotive, SaaS, or financial systems data