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Data Engineer, London

The Data Engineer is a member of the Business Intelligence & Analytics (BI&A) team and will be a key player in the company’s data strategy, utilising the company’s data to generate strategic insights.

Duties and Responsibilities:

• Playing an active role in delivering the team’s ongoing data strategy. Get to be part of the foundations the data strategy is built upon!
• Work closely with our Business Intelligence and Analytics developers to provide actionable insights within key business performance metrics.
• Create and maintain optimal data pipeline architecture,
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimising data delivery, help redesign infrastructure for greater scalability.
• Help build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and GCP ‘big data’ technologies.
• Keep data separated and secure across boundaries when required.
• Monitor and optimise cloud query and storage costs with the aim to reduce overheads

Skills / Qualifications:

• Good understanding of relational Online Transaction Processing (OLTP) and Online Analytical Processing (OLAP) database structures. (MSSQL + BigQuery preferential)
• Data warehouse development and design experience (BigQuery preferential)
• Extract, Transform, Load (ETL) skills, building out pipelines, and utilising data transformations. SSIS / Stitch / 5 Tran etc.
• Experience working with a BI reporting tool such as Power BI, Qlik Sense, Looker (Power BI preferential)
• Strong SQL query writing skills
• Previous exposure to cloud architecture, frameworks, and software as a service (SaaS)
• Excellent problem solver and confident decision-maker
• Excellent written and spoken English skills and the ability to explain complex concepts simply
• Demonstrable success working both independently and as part of a team
• Well organised, able to work under pressure to meet tight deadlines, and self-motivated
• Must have the ability to use own initiative
• Knowledge of an ERP is beneficial – Microsoft NAV / Business Central would be an advantage
• Machine learning modelling experience in Python or R would be an advantage.

All applications will be treated in the strictest confidence.

Please apply in writing by sending your covering letter and CV to [email protected]

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