Data Engineer

Addition; Watford; On-site; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Company bonus scheme

Matched pension contributions

Private healthcare

Flexible benefits

26 days annual leave

Job summary

Addition is undergoing a major transformation to leverage a modern AWS data environment. You will design, build and optimize scalable data pipelines, enabling reliable, actionable insights at scale across national operations.

You will work with Python, SQL, Airflow, AWS Glue and Redshift to deliver data solutions, improve performance, and ensure governance and security standards. Join a collaborative team driving data-driven decisions.

Qualifications

• Experience designing and building scalable data pipelines on AWS.
• Experience developing batch and near real-time data processing solutions.
• Strong capability with SQL and Python in data engineering contexts.

Responsibilities

• Design, build and enhance scalable data pipelines and ETL solutions across AWS.
• Develop robust batch and near real-time data processing capabilities.
• Promote strong engineering standards across code quality, automation, testing and documentation.
• Partner with architecture, analytics and platform teams to deliver high-value data projects.

Skills

Redshift

S3

Glue

Lambda

SQL

Python

Airflow

Spark

Data modelling

GitHub

Tools

CI/CD

Git

Agile

Job description

Join a major organisation undergoing a large-scale transformation, using data and technology to deliver meaningful impact at national scale. This is a key role within a modern AWS data environment, helping turn complex data into reliable, actionable insight.

What You’ll Be Doing:

• Design, build and enhance scalable data pipelines and ETL solutions across AWS.
• Develop robust batch and near real-time data processing capabilities.
• Work with Python, SQL, Airflow, AWS Glue and Redshift to deliver reliable data solutions.
• Improve platform performance, resilience and cost efficiency.
• Build effective monitoring, alerting and support processes to keep data services running smoothly.
• Promote strong engineering standards across code quality, automation, testing and documentation.
• Partner with architecture, analytics and platform teams to deliver high-value data projects.
• Help ensure data solutions meet governance, security and compliance standards.
• Share knowledge, support colleagues and contribute to ongoing improvements across the engineering function.

Main Skills Needed:

• Strong hands-on experience with AWS data services, particularly Redshift, S3, Glue and Lambda.
• Advanced SQL and Python capability.
• Proven experience designing, developing and supporting data pipelines and ETL frameworks.
• Practical knowledge of Airflow and Spark.
• Strong understanding of data modelling, data warehousing and performance optimisation.
• Experience working with GitHub, CI/CD and Agile delivery.
• Experience within a regulated environment would be advantageous.
• Background in lottery, gaming or financial services would be a bonus.

What’s in It for You:

• Work on a major, high-profile transformation programme with genuine scale and impact.
• A modern cloud-based data environment with plenty of scope to influence engineering practices.
• Collaborative culture with opportunities to share knowledge and help shape how data is delivered.
• Strong focus on inclusion, wellbeing and creating an environment where everyone can thrive.
• Company bonus scheme and matched pension contributions up to 8.5%.
• 26 days’ annual leave plus 2 Life Days and bank holidays.
• Private healthcare, income protection and enhanced family leave.
• Flexible benefits including EV, dental, eye care, mortgage advice and financial wellbeing support.
• £500 wellness allowance, employee assistance programme and discounted health assessments.
• Volunteering days and matched funding initiatives.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.