Senior Data Engineer (on-site) - Active SC

Methods Business and Digital Technology Limited

Methods is a £100M+ IT Services Consultancy who has partnered with a range of central government departments and agencies to transform the way the public sector operates in the UK. Established over 30 years ago and UK-based, we apply our skills in transformation, delivery, and collaboration from across the Methods Group, to create end-to-end business and technical solutions that are people-centred, safe, and designed for the future.

Our human touch sets us apart from other consultancies, system integrators and software houses - with people, technology, and data at the heart of who we are, we believe in creating value and sustainability through everything we do for our clients, staff, communities, and the planet.

We support our clients in the success of their projects while working collaboratively to share skill sets and solve problems. At Methods we have fun while working hard; we are not afraid of making mistakes and learning from them.

Predominantly focused on the public-sector, Methods is now building a significant private sector client portfolio.

Methods was acquired by the Alten Group in early 2022.

Methods is currently recruiting for a Data Engineer to join our team on a permanent basis. This role will include some work on client sites and frequent visits to our main offices in London.

**RequirementsOn-site, Full time.

We are seeking a seasoned Senior Data Engineer to join our team. This role is essential for designing, building, and maintaining sophisticated data infrastructure systems that operate across both on-premises and Azure cloud environments. The position involves deploying and managing scalable data operations that support advanced analytics and data-driven decision-making, crucial for our organisational growth and innovation.

Requirements

• Develop and Manage Data Pipelines: You will design, construct, and maintain efficient and reliable data pipelines using Python/Go/Azure Data Factory, capable of supporting both streaming and batch data processing across structured, semi-structured, and unstructured data in on-premises and Azure environments.

• Hybrid Cloud and Data Storage Solutions: Implement and manage data storage solutions leveraging both on-premises infrastructure and Azure, ensuring seamless data integration and accessibility across platforms.
• Workflow Automation: Employ tools such as Azure Data Factory to automate data flows and manage complex workflows within hybrid environments.

• Event Streaming Experience: Utilise event-driven technologies such as Kafka and NATS to handle real-time data streams effectively.