Arbetsbeskrivning

We’re now looking for an Analytics Engineer to join our central Data engineering team, the team that is responsible for our Data Platform. You will play a vital role in ingesting data from our data lake into the data warehouse, where data will be transformed, scheduled, and made ready to be used for analytics & product development teams. You might come from a background where you have passion for Data Modeling or Data Engineering. Or you might have worked as a Data Scientist or Data Analyst and you’re curious and want to work more with Data Engineering.

In order for you to thrive in this role, we believe that you have one or more of the following:

• Experience in SQL and Python
• A strong interest and curiosity in data – you might have also worked with large-scale data warehouses like BigQuery or Snowflake, data modelling, and/or relational model design
• Experience in any of the following tooling: Terraform, Snowplow, Apache Airflow, Fivetran, Looker, OpsGenie
• Experience with cloud computing such as GCP or AWS

You definitely have the following:

• A love for teamwork
• A love for continuous improvement and learning
• Follow best software engineering practices in your work
• The ability to communicate in English with professional working proficiency
• You value best practices but realize that all rules have exceptions
• A passion for sharing your knowledge and teaching others what you know

Nice to have experience:

• dbt
• Previous experience working with or setting up ELT-like data pipelines

How you will make an impact

You would join Epidemic’s Data Engineering team, with a mission to provide the platform, tools, solutions, and data sets that enable the company to stay ever more data-informed. As an Analytics Engineer, you would play a key role in bridging Data Engineering and Data Analytics.

Our modern data stack runs on Google Cloud Platform and part of our solution stack includes BigQuery as a data warehouse, Google Cloud Composer (Airflow) for data pipeline orchestration, Dataflow jobs for data processing, and dbt for data transformation.

You can expect to:

• Join an organization with passionate Data Scientists and Data Engineers at an early stage of the company's history. This is a chance to be part of building a data analytics platform that scales worldwide
• Design, build and maintain the Epidemic data models
• Drive data architecture matters, including following the data definition and data modeling principles across all parts of the business, and ensuring that everything from tracking to reporting cubes adheres to Epidemic’s best practices
• Act as a stakeholder and partner with both engineering teams and analytics teams to deliver well-defined, tested, and high-quality data sets
• Work with business stakeholders and design data models to quantitatively support everything from corporate strategy to user acquisition
• Support and mentor analytics consumers on best software engineering practices

This role will include finding ways to share learnings across the organization. It could be via internal talks, writing internal blog posts, or any other way you may think of. You can also expect to learn a ton of new things, be it through hack-days, courses, conferences, or tech talks. We emphasize learning and we also expect you to share your knowledge with your colleagues.

We collaborate constantly and are big believers in teamwork and the value of practices like careful code reviews and pair (or mob) programming. On top of this, you can expect to have lots of fun and take pride in what you and all of Epidemic is doing.