Senior Data Engineer – On-site, Full time
Methods Business and Digital Technology Limited – Methods is a £100M+ IT Services Consultancy that partners with central government departments and agencies to transform how the public sector operates in the UK. Established over 30 years ago and UK-based, we apply skills in transformation, delivery, and collaboration 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 clients, staff, communities, and the planet. We support our clients in delivering successful 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 building a significant private sector client portfolio. Methods was acquired by the Alten Group in early 2022.
Requirements
On-site, Full time. This role will require you to have ACTIVE Security Clearance, with a willingness to move to DV.
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.
Essential Skills and Experience
- Strong Python Skills: Expertise in Python for scripting and automating data processes across varied environments.
- Experience with ETL/ELT: Demonstrable experience in developing and optimising ETL or ELT workflows, particularly in hybrid (on-premises and Azure) environments.
- Expertise in Hybrid Cloud Data Architecture: Knowledge of integrating on-premises infrastructure with Azure cloud services.
- Containerisation and Orchestration: Solid experience with Docker, GitHub and Kubernetes in managing applications across both on-premises and cloud platforms.
- Proficiency in Workflow Automation Tools: Practical experience with Azure Data Factory in environments.
- Experience in Event Streaming: Proven ability in managing and deploying event streaming platforms like Kafka and NATS.
- Data Security Knowledge: Experience with implementing security practices and tools, including Keycloak, across multiple platforms.
- Search and Database Development Skills: Strong background in managing Elasticsearch and PostgreSQL in environments that span on-premises and cloud infrastructures.
Your Impact
In this role, you will empower business leaders to make informed decisions by delivering timely, accurate, and actionable data insights from a robust, hybrid infrastructure. Your expertise will drive the seamless integration of on-premises and cloud-based data solutions, enhancing both the flexibility and scalability of our data operations. You will champion the adoption of modern data architectures and tooling, and play a pivotal role in cultivating a data-driven culture within the organisation, mentoring team members, and advancing our engineering practices.
Desirable Skills and Experience
- Certifications in Azure and Other Relevant Technologies: Certifications in cloud and on-premises technologies are highly beneficial and will strengthen your application.
- Experience in Data Engineering: A minimum of 5 years of experience in data engineering, with significant exposure to managing infrastructure in both on-premises and cloud settings.
- Some DevOps Engineering experience: Would be preferable.
