Descrição da Função :
Purpose of the role
We’re looking for a Senior Data Engineer to join our Metrics Squad in transforming our real-world raw data into valuable and credible industry-leading metrics that provide insights to our analysts and our customers.
You would be joining the team at a critical time as 5G begins to roll out across the globe and we lead the analysis into what this experience really looks like for real users.
As a Senior Data Engineer, you will be responsible for :
The creation and computation of our metrics. Working closely with our data scientists and our data engineers to create the metrics that are responsible for the pipeline that translates our raw data into usable insights that drive our business.
As well as driving the creation of new 5G metrics, we are also looking at ways to optimise our pipeline and keep our tech stack fresh.
We expect our Data Engineers to :
Requisitos : Requirements
What we need from you
As a Data Engineer we would expect you to have previous experience in manipulating, processing, storing and extracting value from big data.
Experience with big data tools, specifically Apache Spark.
Experience with relational SQL databases. Prior experience with Postgres or desirably, AWS Athena (Presto).
Experience with SQL query authoring.
Experience with data pipeline / workflow tools i.e. Apache Airflow.
Experience with AWS cloud services like EC2, S3, managed Kubernetes and Aurora.
Experience with object-oriented / object function scripting languages : Python and desirably Scala.
Experience in writing tests, especially in BDD style and working with Git.
Strong analytic skills in working with unstructured datasets.
Experience in root cause analysis of data when asked to answer specific business questions.
Experience building and optimising 'big data' data pipelines.
Experience supporting and working with cross-functional teams.
Strong self-organisational skills
Experience being part of a cross functional team, using agile methodologies.
Nice to have :
Experience of having in a cross-functional team set up, ideally based on the Spotify Swaud model.
Competitive salary, stock options and on-target commission program to share our growth.
Flexible working culture, constant exposure to learning opportunities in your role and the ability to make an impact from day one.
£1000 (or local equivalent) learning budget with access to a learning platform providing access to thousands of opportunities to spend it on from conferences to courses and training, and regular 'Opensessions' (internal learning talks).
Regular all-company virtual events Openclubs’ (from our book club to photography club), regular company town halls and socials.
We host quarterly meetings and bi-annual away days in-person with our global teams when we can get together again.
The role will be home-based, and you’ll be supported to set up an effective home office environment.