Analytics Platform Engineer: Build Data Pipelines & Impact

Scrambly; Sweden; On-site; SEK 800,000 - 1,200,000; Full time

Job summary

Scrambly, a fast-growing adtech startup, seeks a Senior Analytics Engineer to build and run the data platform underpinning commercial activities. You will design and maintain pipelines turning raw events and advertiser feeds into trusted tables used for sizing opportunities, thresholds, and data-driven recommendations.

You will work with the Head of Data and cross-functional teams to improve existing systems, build missing components, and set the direction for data engineering in a small,

Qualifications

• 4+ years in analytics engineering, data engineering, BI development, or a closely related role, with pipelines running in production.

Responsibilities

• Build and model analytical pipelines in Dataform on BigQuery, from source data through to the tables that teams and downstream models consume, including datasets behind new products.
• Analyse and recommend commercial decisions with data and design rules and thresholds for day-to-day decisions.
• Take ownership of established pipelines, document, and keep them running in production.
• Make the data trustworthy by building testing, assertion, and alerting layers on models that drive commercial decisions.
• Raise the engineering bar by managing warehouse cost and query performance, reducing duplication and manual work, and establishing best practices.
• Collaborate with Head of Data, Data Scientists, Backend, and commercial teams to scope and prioritise work.

Skills

SQL

Data Modelling

BigQuery

Python

Data Pipelines

Git

Dataform

Pub/Sub

Cloud Functions

Cloud Scheduler

Tools

Dataform

BigQuery

Pub/Sub

Cloud Functions

Cloud Scheduler

IAM

Job description

Scrambly, a fast-growing adtech startup, seeks a Senior Analytics Engineer to build and run the data platform underpinning commercial activities. You will design and maintain pipelines turning raw events and advertiser feeds into trusted tables used for sizing opportunities, thresholds, and data-driven recommendations.

You will work with the Head of Data and cross-functional teams to improve existing systems, build missing components, and set the direction for data engineering in a small,