Senior Data Engineer: End-to-End Data Platform Lead

Benjamin; Barcelona; On-site; EUR 70,000 - 90,000; Full time

Benefits offered by this job

Competitive pay

Hyper-Growth environment

Cutting-edge collaboration

Positive workplace culture

Job summary

Benjamin is seeking a data engineer to own our data platform end to end. You’ll manage ingestion into Snowflake, the dbt project, the metric layer, and data flowing back to services and marketing tools.

A major focus is rebuilding RPI and LTV reporting, with the old and new stacks running in parallel until numbers align. You’ll ship data like software—with PRs, tests, CI, and rollbacks—while improving reliability, cost, and governance.

Qualifications

• Several years as a data engineer, running production pipelines others depend on.
• Strong SQL and Python: data modelling, incremental models, schema changes.
• Production Snowflake (or a similar warehouse), plus working AWS knowledge.
• dbt, Airflow and Terraform in production.
• Hands-on experience with AI coding agents, and the rigour to check what they produce.
• You ship data like software: PRs, tests, CI, rollbacks.
• You’ve handled stalls, backfills, access issues and cost overruns.
• You’ve led a migration with old and new running side by side.
• You can get a decision made with people outside data.
• You want to own a platform end to end, from the design decisions to how it runs in production.

Responsibilities

• Own the dbt project: models, tests and releases
• Build the metric layer that both people and AI agents rely on for trusted, consistent numbers
• Work agent-first: agents do the bulk work, you build the checks that decide what ships
• Own ingestion into Snowflake: backend databases, app events, partner postbacks, attribution data
• Lead the in-house rebuild of our acquisition, RPI and LTV reporting, and retire the old stack
• Own data flowing back out: rankings and scores for our services, audiences for marketing tools
• Keep infrastructure in code: Terraform and CI/CD own services end-to-end
• Own reliability and cost: alerts, freshness, backfills, rollbacks, warehouse spend
• Set how other teams work with data: shipping changes, defining metrics, schema contracts

Skills

Data engineering

SQL

Python

Snowflake

AWS

dbt

Airflow

Terraform

AI agents

CI/CD

Tools

Snowflake

BigQuery

Postgres

dbt

AWS

GCP

Terraform

Docker

TypeScript

Claude

Hex

GitHub Actions

Git

Airbyte

Cloud tooling

Job description

Benjamin is seeking a data engineer to own our data platform end to end. You’ll manage ingestion into Snowflake, the dbt project, the metric layer, and data flowing back to services and marketing tools.

A major focus is rebuilding RPI and LTV reporting, with the old and new stacks running in parallel until numbers align. You’ll ship data like software—with PRs, tests, CI, and rollbacks—while improving reliability, cost, and governance.