Senior Data Analytics Engineer

About Scrumconnect Consulting

Scrumconnect Consulting is a digital and data consultancy delivering high-quality technology,

analytics and transformation services to public and private sector clients. We work closely with

government departments and complex organisations to design and deliver scalable, ethical and

impactful data solutions.

The Role

As a Senior Data Analytics Engineer, you will play a critical role in designing, building and

maintaining high-quality data models that enable analytics, reporting and data-driven decision-

making. You will work with stakeholders across complex domains, including GDS-aligned

programmes, to understand data relationships and business processes, and turn them into

robust analytical data assets.

This role is hands-on technical delivery with strong stakeholder engagement. You will work

closely with other Analytics Engineers, Data Engineers and Analysts. It does not include line

management or team leadership.

Key Responsibilities

Stakeholder engagement and requirements

● Work with stakeholders and delivery teams across GDS-aligned programmes and

complex public sector domains to understand business processes, data relationships

and analytical needs.

● Interpret the needs of technical and non-technical stakeholders, and manage

expectations through clear, proactive and reactive communication.

● Gather user requirements and turn them into clear, actionable, deliverable tasks.

● Act as a key point of contact for analytical user communities, supporting adoption and

effective use of analytical data products.

Data modelling and analytics engineering

● Design, build and maintain flexible, quality-assured dimensional data models for

analytics and reporting.

● Build and review complex data models using tools such as dbt, keeping to agreed

standards and best practice.

● Integrate and model data from complex source systems, combining multiple sources into

conformed analytical models.

● Make sure data models work with other datasets to support reuse and scalability.

Metadata, quality and standards

● Design and contribute to metadata repositories, and suggest improvements to existing

metadata management.

● Use a range of tools for storing, managing and working with metadata.

● Make sure analytical data meets defined data quality standards.

● Apply data profiling techniques to assess completeness, accuracy and reliability.

● Review data models and documentation for consistency with standards and best

practice.

Collaboration and continuous improvement

● Work with Data Engineers to support end-to-end data services and deploy solutions in a

reproducible, sustainable way.

● Collaborate with other data professionals to improve modelling, integration patterns and

analytics engineering standards.

● Support analytical teams to use modelled data effectively through well-documented,

well-governed data.

● Enable automation and adoption of modern analytics tools such as dbt and Airflow.

Key Deliverables

● Clear analytical data requirements, turned into deliverable tasks.

● High-quality dimensional data models built and maintained using dbt.

● Well-documented, quality-assured analytical datasets ready for reporting and advanced

analytics.

● Better metadata capture, storage and presentation, enabling intelligent and responsible

data use.

● Consistent application of data modelling standards, documentation and best practice.

What We are Looking For

Essential:

● SC cleared (first preference) or SC eligible.

● Strong experience as an Analytics Engineer or in a similar data-focused role.

● Proven experience designing and building dimensional data models for analytics and

reporting.

● Hands-on experience with dbt and modern analytics engineering practices.

● Experience working with complex data sources and integrating multiple systems into

conformed models.

● Strong understanding of data quality, metadata management and data profiling

techniques.

● Able to communicate effectively with technical and non-technical stakeholders.

Desirable:

● Experience in government or public sector data environments aligned to GDS standards.

● Experience with orchestration tools such as Airflow.

● Familiarity with cloud-based data platforms and modern data stacks.

● Understanding of data governance and ethical data use in regulated environments.

Why Join Scrumconnect Ltd?

At Scrumconnect, we are more than just a consultancy. We are a collaborative team focused on

delivering impactful digital transformation services across government and enterprise

organisations.

As part of our team, you will benefit from:

● Exposure to major public sector digital and data programmes.

● A collaborative and inclusive working culture.

● Hands-on experience working within agile delivery environments.

Application Process

1. Submit your CV to [email protected]

2. If shortlisted, you will be invited to interview.

Diversity and Inclusion

Scrumconnect Consulting is committed to building an inclusive workplace where diversity is

valued and celebrated. We encourage applications from all backgrounds and are committed to

making reasonable adjustments throughout the recruitment process and during employment.