Data Engineer Apprentice

Purpose of job

Developthe technical and soft skills required to gain hands on experience to build and manage a modern data stack/architecture that collects, manages, and converts data into usable information for data scientists, data analysts and business intelligence analysts to interpret.

As a data engineer the main aim is to understand how to make data accessible and valid so that Abri can use it to evaluate and optimise their performance.

Key duties and responsibilities

Learn and apply how reporting solutions are used for effective data visualisation and strategic and operational reporting.

Develop the skills to assist in designing, developing and maintaining Extract, Transform and Load (ETL) pipelines for data ingestion and transformation.

Work with databases and data lakes to clean, structure, integrate and optimised datasets and data models.

Collaborate with business/data analysts and stakeholders to understand datasets and reporting requirements, gaining the skills to be able to articulate data solutions to stakeholders in a way that can be easily understood.

Understand and apply core data principles, practices and standards to ensure data accuracy, integrity, and security within the reporting environment.

Analyse and interpret data sets to extract meaningful insights, trends, and patterns.

Explore and document the data lifecycle and how this is applied within Abri with regards to data collection processes, ensuring data accuracy, completeness, and reliability.

Any other duties required for the role.

Knowledge, skills and experience required

Three A levels at grade C or above, preferably maths and other related subjects such as IT and science (or equivalent) or relevant experience.

Foundational understanding of coding and data concepts, such as experience with SQL, Python, or cloud platforms.

Excellent communication skills and the ability to collaborate with stakeholders, understand reporting requirements, and present findings to both technical and non-technical audiences.

Analytical and problem-solving skills are vital for addressing challenges related to data accuracy, report performance, and overall reporting efficiency.

Able to provide documentation, presentations and statistical analysis via use of Microsoft Office suite.

Eagerness to learn new technologies and ability to work effectively in a collaborative team environment.

Exemplary customer service skills; polite, professional, helpful, friendly, patient, empathetic and considerate to the complex and varying needs of all customer groups.

Full, clean driving licence to be able to travel in a timely manner to visit other offices, university/college and attend meetings, frequently located in areas not covered by public transport.

Demonstrate our Values and Behaviours.

Benefits

28 days holiday + the opportunity to buy and sell holidays

Generous pension scheme with contributions up to 10%

Money off tons of high street and online retailers

Life assurance of 5x your annual salary

Generous parental and family leave

Health and Wellbeing packages

Electric Car Scheme

Personal Development opportunities

Colleague recognition scheme

Flexible working

Free Eye tests

Cycle to work scheme

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