Data Engineer (SEO)

Infected Blood Compensation Authority; Glasgow; On-site; GBP 80,000 - 100,000; Full time

Job summary

A government organization in Glasgow is looking for a Data Engineer to lead their data engineering team. This role involves building robust data pipelines and management processes on AWS, utilizing technologies such as Databricks and Quantexa. The successful candidate will ensure data quality and engage in mentoring. Opportunities exist to make a substantial impact on compensation delivery for those affected by the infected blood scandal. Strong cloud-native experience and problem-solving skills are essential.

Benefits

Civil Service Pension Scheme

Support for career transition post-IBCA operations

Qualifications

• Experience in cloud-native environments and data lifecycle.
• Understanding of structured and unstructured data.
• Ability to implement CI/CD in Agile practices.

Responsibilities

• Design and deliver high-performance data solutions in AWS.
• Collaborate with teams to meet data needs.
• Mentor junior team members and foster innovation.

Skills

Cloud-native data engineering experience

Building and maintaining data pipelines

Proficiency in Python

Experience with ETL and ELT processes

Problem-solving skills

Tools

AWS

Databricks

Apache Spark

NoSQL

Job description

The Infected Blood Compensation Authority (IBCA) is a new arm’s-length body set up, at unprecedented pace, to administer compensation to people whose lives have been impacted by the infected blood scandal.

IBCA will ensure payment is made in recognition of the wrongs experienced by those who have been infected by HIV, Hepatitis B or C, as well as those who love and care for them. They have been frustrated and distressed by the delays in achieving proper recognition, and we must help put this right.

We are committed to putting the infected and affected blood community at the centre of every decision we make and every step we take to build our organisation to deliver compensation payments.

IBCA employees will be public servants. If successful in this role you will be appointed directly into IBCA, on IBCA terms and conditions as a public servant.

Successful applicants will join the Civil Service Pension Scheme.

Please note that the mission of IBCA means that it is likely to be operational for a period of approximately 5 to 7 years. When IBCA’s work begins to wind down, IBCA employees will receive support and practical guidance to find a new role, whether in the Civil Service, another Arms Length Body (ALB), or an external employer.

The Infected Blood Compensation Authority (IBCA) is responsible for delivering a compensation scheme that has been long awaited by the infected blood community to provide financial compensation to victims of infected blood on a UK-wide basis. This role will lead our data engineering capability within the engineering team of the Data Operations arm of the IBCA Data Directorate.

The Data Operations team is responsible for developing and running safe and secure data solutions that provide a single source of truth for those going through their compensation journey. We are building a new data platform using Amazon Web Services (AWS) and data management and intelligence products using Databricks, Quantexa and Tableau. We are taking a product-centric approach treating data as a product and are building squads around our products, with a focus on paying compensation to those impacted by the infected blood scandal seamlessly.

You will focus on building robust data pipelines and data management processes (including master data management), ensuring data quality, and driving a culture of data-driven decision-making. Working at IBCA gives you a huge opportunity to make an impact on those who deserve compensation, and this role suits a candidate who can lead a team of data engineers to deliver solutions from the ground up to take from ideation to reality so that data is an enabler to everything IBCA does.

As a Data Engineer, you will join a multidisciplinary team to design, build, and deliver high-impact, scalable AWS-based data solutions using Databricks and Quantexa technologies, while also driving data quality, mentoring junior colleagues, and fostering a strong data engineering community.
You will:

• Provide technical guidance for the development of robust, automated data pipelines and master data management processes for our data platform and products, encompassing DevSecOps best practices
• Ensure tools and techniques are scalable, secure and efficient
• Be responsible for ensuring the right data engineering practices are embedded consistently and to industry standard best practices within the data platform delivery teams
• Further developing your own data engineering and leadership skills
• Work with business stakeholders and across digital service teams, understanding their needs and translating them into data development.

Responsibilities

• Data Solution Delivery: Designing, building, and delivering high-performance, scalable, and secure data solutions in a complex data environment within AWS, Databricks and Quantexa. This includes building robust ETL/ELT pipelines, and ensuring seamless integration between platforms.
• Collaboration & Partnership: Work extensively with multidisciplinary teams across product delivery, architecture, engineering security and analytics to understand and meet data needs.
• Quality & Operational Excellence: Driving high build and data quality, ensuring stability, robustness, and resilience of products, and embedding Agile, CI/CD, and DevOps practices.
• Leadership & Community Building: Mentoring junior team members, fostering professional development, building a data engineering community, reviewing solutions, troubleshooting complex issues and proactively driving innovation and challenging existing methods.
• Stakeholder Engagement & Problem Solving: Communicating complex data solutions and championing innovative approaches to diverse stakeholders, while also anticipating and resolving intricate data engineering challenges and building consensus to align data designs with organizational goals.

Person specification

• Strong experience of cloud-native data engineering in AWS and building and maintaining complex data pipelines (both ETL and ELT) in a rapid delivery setting that covers data quality & transformation processes, data matching and master data management.
• Experience working with structured and unstructured data, and data lakes to service operational and analytical business needs.
• Proficiency in writing clear parameterised code in two or more of the following – Python, Databricks, Apache Spark (Pyspark, Spark SQL), NoSQL, Scala.
• Experience of delivering through Agile/DevOps working practices in multi-disciplinary teams – CI/CD, Scrum, Automation.
• Strong problem-solving skills, including assessing and mitigating risks while identifying opportunities for innovation.
• Experience in the full end to end data lifecycle for design, build and test, with knowledge of the interactions and dependencies with data architecture, data modelling and testing engineering.
• Demonstrable experience of setting up data engineering processes from scratch or of implementing large changes to existing processes within an organisation that operate in a cloud DevSecOps environment.

Additional information

A minimum 60% of your working time should be spent at your principal workplace. Although requirements to attend other locations for official business will also count towards this level of attendance.

Behaviours

We'll assess you against these behaviours during the selection process:

• Changing and Improving
• Communicating and Influencing

Technical skills

We'll assess you against these technical skills during the selection process:

• Data analysis and synthesis

Apply before 11:55 pm on Monday 19th January 2026