Senior Data Engineer (analytics)

at  Acast

Since 2014, Acast has been creating the world’s most valuable podcast marketplace, building
the technology which connects podcast creators, advertisers and listeners.
Its marketplace spans more than 125,000 podcasts, 2,700 advertisers and c.1 billion quarterly listens.
Crucially, those listens are monetized wherever they happen - across any podcasting app or
other listening platform.
The company operates worldwide and is headquartered in Stockholm, Sweden. Acast is listed on the Nasdaq First North Premier Growth Market (ACAST.ST).
Please note, that this role is remote from within Sweden only, not globally remote.

We are looking for an experienced and skilled Senior Analytics Engineer that will work on an autonomous, purpose-driven team that develops and maintains ETL pipelines. The role empowers you with freedom for initiative and ownership, spanning across a large spectrum of areas. It starts from consolidating the data warehouse with scalable data pipelines, to implement anomaly detection systems for improving the data quality, to data mining and data science techniques to build insights. We are a remote, and diverse team that follows agile principles and has a DevOps-first culture. We also value a pragmatic mindset and the ability to make trade-offs on what to optimize for and when to ship.