Data Engineer

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November 04

What you’ll be doing
- Designing, implementing, and supporting key datasets that provide structured and timely access to actionable business information with the needs of the end customer always in view
- Retrieving and analysing data using SQL, Excel, and other data management systems
- Creating ETLs/ELTs to take data from various operational systems and craft a unified dimensional or star schema data model for analytics and reporting
- Developing a deep understanding of vast data sources (existing on the cloud) and know exactly how, when, and which data to use to solve particular business problems
- Creating data tools and web/digital/mobile applications for analytics and data scientist team members that assist them in building and optimising our analytics, including deployment into operations and client systems
- Assembling large, complex data sets that meet functional / non-functional business requirements
- Identifying, designing, and implementing internal process improvements: automating manual processes, optimising data delivery, re-designing infrastructure for greater scalability, etc.
- Building the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Azure and the continually emerging big data technologies
- Embedding processes to ensure we regularly check and improve data quality of our core analytics data sources and warehouse
- Assisting with data-related technical issues and support their data infrastructure needs
- Creating and maintaining optimal data pipeline architecture and work with data and analytics experts to strive for greater functionality in our data systems
- Building analytics tools that utilise the data pipeline to provide actionable insights into customer experience, operational efficiency and other key business performance metrics

What you’ll need
- Minimum 5 years’ of experience in a Data Engineer role with detailed knowledge of data warehouse technical architectures, ETL/ ELT, reporting/analytic tool, data security, Onion, Repository, Builder, MVC, Faade, Factory or Singleton
- Knowledge of ASP.Net, C#.NET, LINQ, JQuery, Java Script, Angular DataTables, Ajax, XML, Web Services and Web API
- Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field
- Experience leading and designing data warehousing and analytics project infrastructure, and integrating technical components including using Azure
- Experience with production BI implementation in the Cloud
- Exposure to reporting tools such as Qlikview or Power BI (Desirable)
- Hands-on expertise with application design, software development and automated testing, preferably in a mobile/digital space
- Ability to effectively interpret technical and business objectives and challenges, and articulate solutions
- Experience building and optimising big data pipelines, architectures and data sets

Skill & Language
Computer Science
4 - 6 years
1 candidate
December 06
Full Time
Lisbon, Área Metropolitana de Lisboa
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