• Notera att ansökningsdagen för den här annonsen kan ha passerat. Läs annonsen noggrant innan du går vidare med din ansökan.

Data Engineer – Stockholm
What you’ll do
Select and integrate any Big Data tools and frameworks required to provide requested capabilities.
Create and implement an ETL process.
Monitor performance and advice/execute any infrastructure changes.
Explore new ways of storing, producing, processing, and analysing data.
Improve data quality through testing, testing new tools, frameworks, technologies, and platforms.
Work as a midfielder between our backend and data & insights team to work on data management and maintaining our data pipeline(s).
You’ll be preferably working with Java, SQL, Python and Scala.
Who you are
You love keeping huge amounts of data clean, timely and ready to be analysed by your colleagues.
You love being a box-to-box midfielder between engineering and data & insights.
You are interested in being the glue between engineering and analysis.
You want to design and develop our data infrastructure.
You want to work in a flat organisation that works towards enabling teams to make the best possible decisions rather than having decisions made for them.
Help us choose the latest state of the art data tools, technologies, processes and frameworks.
About Acast
Acast is the world leading technology platform for on-demand audio and podcasting with offices in Stockholm, London, New York, Los Angeles and Sydney. We have over 63M monthly listens today, and are growing rapidly. Our engineering team is mostly located in central Stockholm, but with a remote first culture we’re able to bring on people who prefer full time remote work. We are a flat organisation that works towards enabling teams to make the best possible decisions rather than having decisions made for them. We believe in autonomy and a culture of continuous improvement.

Data Engineer – Stockholm
What you’ll do
Select and integrate any Big Data tools and frameworks required to provide requested capabilities.
Create and implement an ETL process.
Monitor performance and advice/execute any infrastructure changes.
Explore new ways of storing, producing, processing, and analysing data.
Improve data quality through testing, testing new tools, frameworks, technologies, and platforms.
Work as a midfielder between our backend and data & insights team to work on data management and maintaining our data pipeline(s).
You’ll be preferably working with Java, SQL, Python and Scala.
Who you are
You love keeping huge amounts of data clean, timely and ready to be analysed by your colleagues.
You love being a box-to-box midfielder between engineering and data & insights.
You are interested in being the glue between engineering and analysis.
You want to design and develop our data infrastructure.
You want to work in a flat organisation that works towards enabling teams to make the best possible decisions rather than having decisions made for them.
Help us choose the latest state of the art data tools, technologies, processes and frameworks.
About Acast
Acast is the world leading technology platform for on-demand audio and podcasting with offices in Stockholm, London, New York, Los Angeles and Sydney. We have over 63M monthly listens today, and are growing rapidly. Our engineering team is mostly located in central Stockholm, but with a remote first culture we’re able to bring on people who prefer full time remote work. We are a flat organisation that works towards enabling teams to make the best possible decisions rather than having decisions made for them. We believe in autonomy and a culture of continuous improvement.

Acast is the world leading technology platform for on-demand audio and podcasting with offices in Stockholm, London, New York, Los Angeles and Sydney. We have over 63M monthly listens today, and are growing rapidly. Our engineering team is mostly located in central Stockholm, but with a remote first culture we’re able to bring on people who prefer full time remote work. We are a flat organisation that works towards enabling teams to make the best possible decisions rather than having decisions made for them. We believe in autonomy and a culture of continuous improvement.

Detta är en jobbannons med titeln "Data Engineer" hos företaget Acast AB publ och publicerades på webbjobb.io den 18 juni 2018 klockan 00:00.

Hur du söker jobbet

webbjobb-logo-white webbjobb-logo-grey webbjobb-logo-black