Senior Data Engineer

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BÆRSkin Tactical Supply Co. (divbrands)

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2019

🏭 Manufacturing

💼 Consulting

📦 Logistics

Manufacturing • Consulting • Logistics

BÆRSkin Tactical Supply Co. (divbrands) is a direct-to-consumer outdoor and tactical apparel brand that designs, manufactures and sells weatherproof hoodies, jackets, pants, backpacks and accessories for urban and outdoor use. The company emphasizes durable, technical materials and functional features (waterproofing, wind protection, modular/tactical styling) and positions its products for hikers, campers, outdoor workers and everyday city use. BÆRSkin operates an online store with retail and wholesale channels, promotes strong customer reviews and seasonal sales, and highlights gifting, bundles and gear tested by experts.

📋 Description

• Build and run the data platform covering ingestion, transformation, modelling and serving • Operate Fivetran and custom extracts, dbt transformations, BigQuery and Metabase, with Airflow orchestration • Create business-usable data models for attribution, cohorts, LTV, conversion, returns and fulfilment • Work directly with marketing, finance and operations to translate business questions into datasets • Challenge incorrect business questions when necessary • Own reliability through tests, monitoring, alerting, freshness and breakage resolution • Monitor and control warehouse and tooling costs • Enable business self-service through documented models, sensible semantics and trusted dashboards • Use AI coding tools daily to accelerate delivery • Join a two-person data team with individual-contributor ownership from week one

🎯 Requirements

• At least 3 years of hands-on experience in data engineering or a similar role • Advanced Python and SQL skills, including writing, reading and optimising production queries • dbt or equivalent transformation tooling experience in production • Production orchestration experience with Airflow, Dagster or Prefect • Solid data modelling knowledge across warehouses, lakes and lakehouses • Experience with a cloud analytical warehouse; BigQuery preferred, or Snowflake, Redshift or ClickHouse • Daily use of AI coding tools and ability to explain a specific recent example, including validation and fixes • English at B2/C1 minimum • Minimum 4 hours of overlap with EU working hours • Hands-on working style with evidence of personally shipped work in the last 90 days • Consumer-facing, high-volume commercial domain experience is desirable • Databricks or distributed processing experience is desirable • Streaming and near-real-time experience is desirable • Docker, Terraform and CI/CD for data workflows are desirable • Portuguese is desirable

🏖️ Benefits

• Fully remote • Competitive salary with regular performance reviews • 26 days paid leave • Parental leave • Training and budget towards professional-level cloud certification • Genuinely strong colleagues, and no layers between you and the decisions • A stack you can change. If something is wrong, you fix it