Analytics Engineer: Build Scalable Data Pipelines

Viaplay Group; Stockholms kommun; Hybrid; SEK 700,000 - 1,000,000; Full time

Benefits offered by this job

30 days paid vacation

Pension and insurance scheme

Parental leave pay lift

Wellbeing initiatives including a福利?

Wellbeing initiatives includingwellnes

Hybrid model with at least three days%

Learning culture and upskilling

Hack Days once a year

Unlimited Viaplay access

Job summary

Viaplay Group in Stockholm is seeking an Analytics Engineer to build and maintain data pipelines and models that power reporting and analytics across the business. You will own pipelines feeding ThoughtSpot and create reliable, reusable tables to support insights into user engagement, content performance, and operations.

You will collaborate with analysts and stakeholders to translate business needs into well-structured data, ensure data quality, and improve pipeline reliability and performance

Qualifications

• Practical experience with SQL, including writing and maintaining queries for data transformation and modeling.
• Hands-on experience with dbt for building and maintaining data transformation models.
• Experience using Python for data processing or automation.
• An understanding of data modeling and how to structure tables for BI reporting and data analytics.
• A structured approach to data quality, with the ability to investigate issues and develop reliable solutions.
• A proactive approach to problem-solving and an interest in making data pipelines easier to maintain and scale.
• Strong collaboration and communication skills, including the ability to translate business needs into data requirements and explain technical concepts clearly.

Responsibilities

• Data Pipelines: Develop, maintain, and improve pipelines that deliver accurate and timely data to ThoughtSpot and analytical tables.
• Data Modeling: Use SQL and dbt to transform source data into well-structured, reusable models with consistent business logic.
• Development: Use Python to support data processing and automate recurring tasks across analytics workflows.
• Data Quality: Build automated tests and validation checks to identify data issues and ensure reliable datasets for reporting and analytics.
• Reliability and Performance: Monitor pipeline runs, investigate failures, and resolve data freshness and performance issues. Improve workflows as data volumes and business needs grow.
• Collaboration: Work with analysts and business stakeholders to understand their needs, define data requirements, and deliver datasets that answer relevant business questions.
• Documentation: Document data models, business definitions, and pipeline dependencies so colleagues can understand, use, and maintain the data.

Skills

SQL

dbt

Python

Data modeling

Data pipelines

Data quality

Collaboration

Communication

Automation

Tools

ThoughtSpot

Databricks

Job description

Viaplay Group in Stockholm is seeking an Analytics Engineer to build and maintain data pipelines and models that power reporting and analytics across the business. You will own pipelines feeding ThoughtSpot and create reliable, reusable tables to support insights into user engagement, content performance, and operations.

You will collaborate with analysts and stakeholders to translate business needs into well-structured data, ensure data quality, and improve pipeline reliability and performance