Senior Analytics Engineer: Data Pipelines & Insights

Wolt Development Sverige AB; Stockholms kommun; On-site; SEK 900,000 - 1,200,000; Full time

Job summary

Wolt Development Sverige AB in Stockholm is seeking an experienced Senior Analytics Engineer to join the Consumer or Merchant Analytics Engineering team. You will work across cross-functional partners to turn business needs into actionable data and insights.

You will build data pipelines, models and dashboards using Snowflake, Looker, SQL, and orchestration tools, mentor juniors, and help raise data literacy across the domain.

Qualifications

• 5+ years of experience as Analytics Engineer or BI Developer.
• Strong hands-on experience with data integrations, data pipelines, data models, metric development, and dashboards.
• Advanced SQL skills and ability to write optimized queries for large data sets.

Responsibilities

• Developing reporting and metrics quality as a whole, from understanding the needs of the business to providing easily understandable and actionable data.
• Working on data integrations and data pipelines powering the Data Warehouse, data models, and dashboards using our modern tech stack (Snowflake, SQL, Looker, ETL, Airflow, Dagster).
• Design and implement complex data pipelines with dependency control, orchestration and auto-materialisation logic.
• Develop a self-service data modelling strategy and partner with Analytics and other stakeholders for implementation.
• Increase data literacy across the domain through hands-on training and documentation.
• Lead, mentor, and guide more junior team members.

Skills

Data integrations

Data pipelines

Data models

Metric development

Dashboards

Tools

Snowflake

SQL

Airflow

DBT

Looker

Tableau

Power BI

Job description

Wolt Development Sverige AB in Stockholm is seeking an experienced Senior Analytics Engineer to join the Consumer or Merchant Analytics Engineering team. You will work across cross-functional partners to turn business needs into actionable data and insights.

You will build data pipelines, models and dashboards using Snowflake, Looker, SQL, and orchestration tools, mentor juniors, and help raise data literacy across the domain.