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About the Role

As a member of the Data Engineering team, you will learn to deliver data engineering and pipelines on complex client datasets, collaborating with various client-facing teams and technical specialists.

Responsibilities

• Create and deliver data engineering pipelines to support client data products and marketing for reporting and analytics.
• Understand client needs and implement solutions using available technology.
• Work with diverse data sources including CRM, sales, real-time, and unstructured data.
• Utilize Python or C# and associated libraries for data processing.
• Work with SQL and NoSQL database technologies (e.g., Azure SQL, SQL Server, PostgreSQL, Snowflake, MySQL, Cosmos DB, Mongo DB).
• Utilize Databricks and Azure DevOps.
• Employ ELT/ETL tools such as Azure Data Factory and Databricks.
• Build and configure data ingestion methods from APIs, flat files, streaming, public data sources, and survey data.
• Collate and extract data to create data products for marketing, reporting, and AI business use cases.

Requirements

• A Level 3 qualification in a relevant area (e.g., two A levels, Level 3 apprenticeship, International Baccalaureate Level 3, BTEC Extended Diploma in a similar subject).
• Experience with programming languages such as Python.
• Equivalent work experience of 2-3 years in a similar subject-related role.
• Must not hold an existing qualification at the same or higher level than this apprenticeship in a similar subject.

Skills

• Problem-solving skills for complex technical issues and development of innovative solutions.
• Clear communication skills, able to explain technical concepts to non-technical audiences.
• Reliability, with the ability to manage development tasks, work with test engineers, and support operations to meet deadlines.
• A growth mindset.
• AI curiosity and readiness to embrace opportunities.

Location

• Remote

Work Type

• Full-time
• Apprenticeship

Experience Level

• Entry Level

Education Level

• Level 3 Qualification

Benefits

• Holiday entitlement (28 days with option to buy/sell up to 5 days).
• Day off on or in the week of your birthday.
• Pension eligibility (up to 5% matched contributions).
• Enhanced maternity, paternity, and shared parental leave.
• Cycle to work and electric car schemes.
• Gym and retail discounts.
• Regular social events/activities.
• A range of other benefits from a flexible benefits package.

About the Company

• Transform is a fresh alternative to Big Consulting, acting as an end-to-end transformation partner that defines, designs, builds, and operates systems.
• We combine strategy, data, AI, technology, and change management to solve clients' toughest challenges.
• We specialize in public sector and public-facing organizations, including government agencies, local authorities, energy, utilities, transportation, and healthcare.
• We also serve dynamic brands in automotive, retail, financial services, and consumer goods.
• QA apprenticeships offer a way to gain new skills, earn while you learn, and launch an exciting future.
• QA has over 50,000 successful apprenticeship graduates and is a top 50 training provider.