Data Engineer

Jobtailor; Norwich; On-site; GBP 65,000 - 90,000; Full time

Job summary

Jobtailor is seeking a data engineer to design, develop, and optimise data warehouse solutions, and to build robust ETL/ELT pipelines that turn raw data into actionable insights.

You will develop and manage integrations between systems (including APIs), ensure data quality, and contribute to CI/CD and DevOps practices while collaborating with both technical and non-technical stakeholders to deliver data-driven outcomes.

Qualifications

• Experience with data warehousing concepts and architectures.
• Strong knowledge of ETL/ELT processes and data transformation.
• Experience integrating systems using APIs or other methods.
• Familiarity with modern data technologies (Parquet, Delta tables/lakes).
• Ability to perform exploratory data analysis using tools such as Excel or programming languages.
• Experience with Git, CI/CD, and DevOps practices.
• Strong problem-solving skills and attention to detail.
• A collaborative mindset with the ability to work with technical and non-technical stakeholders.

Responsibilities

• Designing, developing, and optimisation data warehouse solutions
• Building and maintaining ETL/ELT pipelines to transform raw data into usable insights
• Developing and managing integrations between systems (including APIs)
• Ensuring data quality, integrity, and consistency across platforms
• Implementing monitoring, alerting, and performance optimisation
• Supporting medallion architecture and modern data lake practices (e.g., Delta Lakes)
• Contributing to CI/CD pipelines, DevOps practices, and source control (Git)
• Collaborating with stakeholders to deliver valuable, data-driven outcomes
• Supporting AI, machine learning, and advanced analytics use cases
• Driving automation across data pipelines and processes

Job description

Responsibilities

• Designing, developing, and optimising data warehouse solutions
• Building and maintaining ETL/ELT pipelines to transform raw data into usable insights
• Developing and managing integrations between systems (including APIs)
• Ensuring data quality, integrity, and consistency across platforms
• Implementing monitoring, alerting, and performance optimisation
• Supporting medallion architecture and modern data lake practices (e.g., Delta Lakes)
• Contributing to CI/CD pipelines, DevOps practices, and source control (Git)
• Collaborating with stakeholders to deliver valuable, data-driven outcomes
• Supporting AI, machine learning, and advanced analytics use cases
• Driving automation across data pipelines and processes

Requirements

• Experience with data warehousing concepts and architectures
• Strong knowledge of ETL/ELT processes and data transformation
• Experience integrating systems using APIs or other methods
• Familiarity with modern data technologies (e.g., Parquet, Delta tables/lakes)
• Ability to perform exploratory data analysis using tools such as Excel or programming languages
• Experience with Git, CI/CD, and DevOps practices
• Strong problem-solving skills and attention to detail
• A collaborative mindset with the ability to work with technical and non-technical stakeholders