Data Engineer – Hybrid – Day Rate

Pearson Carter; Reading; Hybrid; GBP 83,025 - 138,375; Full time

Benefits offered by this job

Hybrid working

Certification support

Career progression

Job summary

Pearson Carter is seeking a Data Engineer for a hybrid/remote role based in the UK. You will join a growing data function building cloud-based data platforms that support reporting, BI, analytics, and future AI capabilities.

You will develop scalable data pipelines, collaborate with Analysts, Engineers and Product Owners in an Agile environment, and gain hands-on experience with Microsoft cloud technologies such as Azure and Databricks.

Qualifications

• Up to 2 years' experience in data engineering or similar technical role.
• Strong SQL skills and relational database understanding.
• Experience with Python or other data-focused languages.
• Understanding of ETL/ELT processes and data integration concepts.
• Knowledge of data modelling and database design principles.
• Familiarity with Git or other version control systems.
• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder engagement skills.
• Keen interest in cloud technologies and modern data engineering practices.
• Ability to work collaboratively within Agile delivery teams.

Responsibilities

• Develop and maintain data pipelines to ingest, transform, and load data from multiple sources.
• Build and support scalable ETL/ELT processes and data integration solutions.
• Assist with the design and maintenance of enterprise data platforms.
• Develop data models and datasets to support reporting and analytics.
• Monitor pipeline performance and resolve data quality issues.
• Work closely with Data Analysts, Software Engineers, and business stakeholders to understand data requirements.
• Support testing, deployment, and ongoing maintenance of data solutions.
• Contribute to DataOps, DevOps, and CI/CD best practices.
• Assist with data governance, security, and compliance initiatives.
• Identify opportunities to automate processes and improve platform performance.

Skills

SQL

Python

ETL/ELT

Data modelling

Git

Analytical thinking

Communication

Agile

Cloud technologies

Tools

Azure Data Factory

Databricks

Power BI

Job description

Data Engineer - Hybrid/Remote - Competitive Day Rate

THE COMPANY:

A leading organisation undergoing a major digital transformation is looking to expand its Data & Integration team with the addition of a Data Engineer.

This is an exciting opportunity to join a growing data function responsible for building modern cloud-based data platforms that support reporting, business intelligence, analytics, and future AI capabilities. You'll work alongside experienced Data Engineers, Solution Architects, and Product Owners while developing your skills with the latest cloud and data technologies.

THE ROLE:

We are hiring a Data Engineer to support the development, maintenance, and optimisation of enterprise data platforms and integration solutions.

Working within a collaborative engineering team, you'll help build scalable data pipelines, improve data quality, and contribute to the delivery of cloud-based data solutions that enable better business decision-making.

Key Responsibilities:

• Develop and maintain data pipelines to ingest, transform, and load data from multiple sources
• Build and support scalable ETL/ELT processes and data integration solutions
• Assist with the design and maintenance of enterprise data platforms
• Develop data models and datasets to support reporting and analytics
• Monitor pipeline performance and resolve data quality issues
• Work closely with Data Analysts, Software Engineers, and business stakeholders to understand data requirements
• Support testing, deployment, and ongoing maintenance of data solutions
• Contribute to DataOps, DevOps, and CI/CD best practices
• Assist with data governance, security, and compliance initiatives
• Identify opportunities to automate processes and improve platform performance

THE CANDIDATE:

We're looking for an enthusiastic Data Engineer with a passion for cloud technologies and modern data platforms.

Essential Experience:

• Up to 2 years' experience in Data Engineering, Software Engineering, Analytics, or a similar technical role
• Strong SQL skills and understanding of relational databases
• Experience with Python or other data-focused programming languages
• Understanding of ETL/ELT processes and data integration concepts
• Knowledge of data modelling and database design principles
• Familiarity with Git or other version control systems
• Strong analytical and problem-solving skills
• Excellent communication and stakeholder engagement skills
• Keen interest in cloud technologies and modern data engineering practices
• Ability to work collaboratively within Agile delivery teams

Desirable Experience:

• Microsoft Azure (AZ-900) or DP-900 certifications
• Experience with Microsoft Fabric, Azure Data Factory, Databricks, or similar cloud data platforms
• Exposure to Power BI and reporting solutions
• Experience working with APIs and data ingestion technologies
• Knowledge of CI/CD, DataOps, Docker, or Kubernetes
• Understanding of data warehousing concepts
• Previous internship, placement year, graduate programme, or commercial experience in a data-focused role

THE OFFER:

• Competitive salary
• Hybrid and flexible working
• Opportunity to work with modern Microsoft cloud technologies
• Hands-on experience with Microsoft Fabric, Azure Data Factory, Databricks, and enterprise data platforms
• Ongoing training, mentoring, and certification support
• Clear career progression into Senior and Principal Data Engineering roles
• Collaborative engineering culture focused on innovation and continuous improvement

INTERVIEW PROCESS:

• Multi-stage interview process
• Technical and competency-based assessments
• Fast-moving recruitment process