Senior Data Engineer — Commerce Platform

Deepwave Systems

Remote · $118K – $146K · Full-time · Posted 5 months ago

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About the role

We are an e-commerce platform for independent retailers in the UK and Ireland. We have 8,400 active merchant stores, 1.2 million registered buyers, and we processed £340 million in gross merchandise volume last year. We are not Amazon. We are not Shopify. We are a mid-size platform built around independent retail, and the data problems we deal with reflect the diversity of our merchant base — thousands of different product catalogues, pricing strategies, fulfilment configurations, and promotional mechanics that all have to be represented cleanly in our data layer. Our current data infrastructure was built by a team that is no longer with us. It works. Parts of it are genuinely well-built. Parts of it are held together by bash scripts and undocumented assumptions that exist only in the memory of people who wrote them three years ago and have since left. We are rebuilding those parts deliberately and carefully, and we are looking for a Senior Data Engineer to lead that work — specifically the migration of our order and transaction pipeline from a fragile custom ETL layer to a properly orchestrated, monitored, and documented dbt-based transformation stack on Snowflake.

Fully remote.

Responsibilities

Lead the migration of the order and transaction pipeline from the legacy ETL layer to a dbt-based transformation stack on Snowflake
Build data quality monitoring and alerting that the analytics and finance teams can rely on for daily reporting
Document the full data architecture: source systems, transformation logic, output schemas, and operational runbooks
Define and enforce data engineering standards for the team: pipeline structure, testing requirements, and documentation process
Mentor one mid-level data engineer through the migration work

Requirements

6+ years of data engineering with production ownership of complex pipelines serving high-transaction-volume e-commerce or marketplace data
Python for pipeline development, data quality automation, and tooling — clean, version-controlled, tested
SQL at expert level: complex transformations, query performance tuning, and the discipline to write SQL that reviewers can follow
Snowflake for cloud data warehousing — schema design, clustering, cost governance, and time travel for audit support
Airflow for orchestrating multi-step pipelines with dependency management, retry logic, and SLA alerting
ETL/ELT pipeline design: idempotency, incremental loading, and failure recovery in high-volume transaction data contexts
Familiarity with e-commerce data concepts: order lifecycle, returns, promotions, and inventory position is a genuine practical advantage

Benefits

$118,000 – $146,000 base salary
Full remote — our engineering team is distributed across the UK and Ireland
25 days annual leave plus public holidays
$1,500 annual learning and conference budget
Employee discount on all merchant stores — which is more useful than it sounds given the range of what our merchants sell