Future Publishing
specialist media
SeniorDataEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Data Engineer at Future Publishing. Skills: Data Engineering, Cloud Platform, Data Modelling. Develop data platform features. Maintain data platform features”
What You'll Achieve.
build impactful business insights
Industry & Context.
solving complex data challenges
What They're Looking For.
Must Have
Python on Google Cloud Platform, BigQuery, DataFlow (Apache Beam), Cloud Run Functions, Cloud Run, Cloud Workflows, Cloud Composure, SQL development skills, Dataform or dbt, data modelling, ETL development, data warehousing, data management fundamentals, data storage principles
Nice to Have
statistical models or data mining algorithms
What You'll Do.
Develop data platform features
Maintain data platform features
Deliver development projects
Scope development projects
Automate BAU processes
Provide documentation
Parameterise pipelines
Apply testing principles
How You'll Work.
Team & Collaboration
Work with product team
Process & Methodology
delivery of development projects
Full Job Description
**What you'll be doing** Are you ready to contribute to the evolution of our data pipelines for our B2B and Go.Compare divisions? At Future, we are transforming our data-driven decision-making processes and we are looking for a passionate and experienced Data Engineer to join us. This is an exciting opportunity for someone who excels in a creative environment, enjoys solving complex data challenges, and is eager to build impactful business insights, for this role you will directly report into the Head of Data Engineering The Data & Business Intelligence team guides our organisation to become more data-driven. By ensuring visibility of objective performance data, we empower our teams to make rapid, informed decisions that enhance overall performance. **Important Responsibilities include and not limited to;** * Develop and maintain new/current features of the data platform. * Responsible for delivery of development projects, including scoping, writing and sizing of stories involved. * Take ownership of BAU processes, develop area specific domain mastery, and seek means to automate them or reduce their impact. Proposes and advocates for changes to reduce risk, cost and overhead. * Provide appropriate documentation for pipelines developed * Parameterise pipelines so configuration can be changed easily without having to perform deep changes to the codebase * Apply appropriate testing principles to ensure code is fit for purpose **Experience that will put you ahead of the curve** * Experience using Python on Google Cloud Platform for Big Data projects, BigQuery, DataFlow (Apache Beam), Cloud Run Functions, Cloud Run, Cloud Workflows, Cloud Composure * SQL development skills * Experience using Dataform or dbt * Demonstrated strength in data modelling, ETL development, and data warehousing * Knowledge of data management fundamentals and data storage principles * Familiarity with statistical models or data mining algorithms and practical experience applying these to business
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