Analytics Engineer

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

At Viaplay Group, we entertain millions of people every day through our streaming services, radio networks, and TV channels. We believe in the power of content not just as a way of telling stories and touching lives, but also expanding worlds.

We’re looking for the best people to join us on our journey. Right now, we’re searching for a Analytics Engineer in our Stockholm office –are you ready to hit play on an exciting career change?

The Role

As an Analytics Engineer at Viaplay Group, you will build and maintain data pipelines and models that support reporting and analytics across the business. You will take ownership of the pipelines feeding our BI system, ThoughtSpot, and create reliable, reusable tables for analysis. Working closely with analysts and business stakeholders, you will translate business needs into well-structured data that helps us understand user engagement, content performance, and our operations.

Key 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.

What we’re looking for

We are looking for someone who enjoys building reliable data solutions, takes ownership of their work, and collaborates well with others. We understand you may feel confident ticking certain boxes more than others and that’s why we always keep an open mind in our recruitment process. But, in order to thrive in this role, we do believe you’ll have some experience in the following:

• 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

It’s a bonus if you have:

• Experience working with Databricks

• Background in the streaming or media industry

What we offer you

• We’ve got you covered! 30 days of paid vacation every year,an attractive pension and insurance scheme, and generous parental leave pay lift.

• Your wellbeing matters. We provide you with various wellbeing initiatives includingwellness allowance.

• Flexibility that works.We follow a hybrid model with at least three days a week in the office, giving you the best mix of collaboration and focus time.

• A safe space to grow and up-skill. Our learning culture puts you in the driver’s seat of your own development.

• An innovative environment with Hack Days once a year. This week-long initiative allows you to think outside the box and deliver creative, technical solutions that (more often than not) go on to be implemented, either in our product or our ways of working.

• Entertainment is what we love, and entertainment is what we do. So, unlimited access to Viaplay seems only fair for you to get to know the product –including serier & viewing events, new release movie rentals, linear channels and more.