Senior Data Engineer

• Senior Data Engineer
• Hybrid-working (Manchester + Home-based)
• c£60,000 to £75,000 per year (DOE)
• Plus an excellent company benefits package (including Private Healthcare, Bonuses, Professional Accreditations and Subscriptions, 25 days Annual Leave + Bank Holidays, etc.)

The Opportunity:

We are supporting a leading IT Consultancy operating at the forefront of digital services and transformation across the UK public sector are seeking an experienced Senior Data Engineer to play a key role in designing and delivering modern, scalable data platforms that support critical national services.

Working within collaborative, multi-disciplinary teams, you will take ownership of end-to-end data engineering delivery across greenfield and transformation initiatives. You will influence technical direction, guide engineering best practice, and support the development of high-quality, robust data services that operate at enterprise scale.

You will be consulting across modern cloud ecosystems and data technologies, with opportunities to deepen expertise in Python, SQL, cloud-native data tooling, orchestration platforms and streaming technologies across AWS, Azure and GCP.

Skills and Experience:

• Proven experience delivering production-grade data engineering solutions within complex environments
• Strong Python skills for building, testing and operating scalable data pipelines
• Experience working with at least one major cloud platform (AWS, Azure or GCP)
• Strong SQL expertise and experience working with relational databases such as PostgreSQL or Microsoft SQL Server
• Experience working with NoSQL technologies such as DynamoDB, MongoDB or similar
• Hands-on Kafka (or equivalent streaming) and workflow orchestration (Airflow) experience
• Strong understanding of data architecture patterns including data lakes, warehouses and event-driven architectures
• Experience of consulting across Agile delivery environments, implementing data quality, validation and monitoring frameworks

Role and Responsibilities:

• Lead the design, build and delivery of data platforms and services across the full engineering life cycle
• Own technical delivery of data pipelines, models and platform components, ensuring solutions are robust, scalable and maintainable
• Design, develop and deploy ETL/ELT pipelines to ingest, transform and optimise large-scale datasets
• Build and operate event-driven architectures (Kafka) and orchestrate workflows (Airflow)
• Apply strong data architecture principles across data lakes, warehouses and event-driven solutions
• Develop and maintain streaming pipelines using technologies such as Kafka
• Implement monitoring and observability solutions using tooling such as Prometheus and Grafana
• Ensure data quality, validation and governance processes are built into engineering workflows
• Act as a trusted technical advisor to clients and stakeholders (client-facing), translating business requirements into robust engineering solutions
• Support delivery planning activities, including estimation, risk identification and dependency management
• Mentor and support other engineers, contributing to a culture of continuous improvement and engineering excellence

Applications:

Please contact Edward Laing here at ISR to learn more about our client and how they are leading the way in developing the next generation of technical solutions through innovation and transformational technology?