Senior Data Engineer
Anson Mccade · London, England ·
Senior Data Engineer £72,000 GBP Hybrid WORKING Location: Central London, Greater London - United Kingdom Type: Permanent The Opportunity A leading technology and digital intelligence organisation is seeking an experienced Senior Data Engineer to design, develop and maintain data engineering solutions supporting complex client requirements, including work within the National Security and public sector environments.
The successful candidate will combine strong technical data engineering expertise with the ability to lead engineering teams, engage with stakeholders and translate business requirements into effective, scalable data solutions.
Working alongside data architects, data scientists, analysts and wider technical teams, the Senior Data Engineer will help organisations extract, transform, store and deliver data for downstream consumption, enabling informed decision-making and improved business outcomes.
This is an opportunity for a technically accomplished data professional to take ownership of engineering delivery, shape data platforms and contribute to the development of modern data engineering practices. Key Responsibilities As a Senior Data Engineer, the successful candidate will: Design, build, improve and maintain data pipelines and ETL processes to extract, transform and load data.
Develop and deploy high-quality data engineering components using software engineering and DataOps best practices. Work closely with clients and business stakeholders to understand requirements and translate business problems into technical solutions.
Collaborate with data architects, data scientists, analysts and other engineering teams to deliver effective data flows. Develop and maintain cloud-based data infrastructure and services to host and store data. Apply data management, orchestration, security and data modelling principles across engineering solutions.
Communicate technical concepts clearly to technical and non-technical stakeholders. Build strong working relationships across teams and organisational functions. Adapt to evolving data engineering tools, technologies and techniques.
Lead data engineering teams from a technical perspective, establishing delivery frameworks that support effective execution. Engage business stak...
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