Data Engineer

Shields Talent are working exclusively with a charity based in Edinburgh that are looking for a Data Engineer to join their team on a 12-month fixed term contract.

In this role the Data Engineer will work with the data team to develop a new data warehouse solution with the required data pipelines to support the delivery of their strategy. Supporting the team to expand and optimise data and data architecture, as well as optimising data flow and collection for other teams. Using their experience in data architecture, ETL processes and pipeline management to support the building, testing and maintenance of data architecture.

Job Details -

Data Engineer (12-month FTC)

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Salary - circa £45k (DOE)

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Location - Edinburgh

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Work conditions - Hybrid with one day onsite, however there can be flexibility on this. For example - mostly remote, with onsite for important meetings etc

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36 days holiday (inclusive of public holidays)

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Must have Right to Work in the UK as sponsorship isn't available for this role

Candidate requirements -

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Advanced SQL skills and experience with relational databases and database design

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Knowledge of data architecture & data warehousing concepts, ETL and data modelling

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Strong background in Python development for data engineering

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Experience working with cloud data warehouse solutions

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Working knowledge of cloud-based solutions

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Experience building and deploying machine learning models in production

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Strong proficiency in object-oriented languages and scripting languages

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Strong proficiency in data pipeline and workflow management tools

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Strong project management and organisational skills

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Excellent problem-solving, communication, and organisational skills

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Proven ability to work independently and with a team

Candidate responsibilities -

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Design and development of the data warehouse and required data pipelines

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Ensure provision and performance data is accessible in a variety of formats

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Work with the data team to develop key performance indicators

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Develop and deliver insightful analytics for the assigned department to inform key business decisions

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Create and maintain an optimal data pipeline architecture

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Assemble large, complex data sets that meet functional / non-functional business requirements

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Identify, design, and implement internal process improvements: automating manual processes, optimising data delivery, re-designing infrastructure for greater scalability, etc

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Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS big data technologies

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Champion the use of automation and automated processes within the assigned department to support all data work and the work of the teams including data quality monitoring and management

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Build analytics tools that utilise the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics

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Ensure data use, data stored on the CRM and/or imported or exported complies with the General Data Protection Regulations

Thank you for taking the time to apply to our job advert, we would ask interested candidates to apply with an updated CV. We aim to come back to you as quickly as we can with an update