Senior Data Engineer
Anson Mccade
We are seeking an experienced Senior Data Engineer to design, develop and deliver high-quality data engineering solutions for complex client environments. You will work closely with clients, data architects, data scientists, analysts and other technical specialists to understand business requirements and build reliable, scalable data infrastructure. Your responsibilities will include developing data pipelines, managing cloud-based data platforms, improving data flows and ensuring datasets are accessible, secure and ready for downstream use. As a Senior Data Engineer, you will also provide technical leadership, guide delivery teams and help shape data engineering strategies and platform decisions. This role offers the opportunity to work on challenging projects, collaborate with multidisciplinary teams and contribute to solutions that support critical business and public sector objectives. Key Responsibilities
Build, enhance and maintain data pipelines to extract, transform and load data (ETL). Apply software engineering and DataOps best practices to develop, test and deploy high-quality data solutions. Work with technical and non-technical stakeholders to understand business challenges and translate requirements into effective engineering solutions. Collaborate with data architects, scientists, analysts and other teams to support end-to-end data delivery. Develop and maintain cloud-based data infrastructure and services for data storage and processing. Apply best practices in data management, orchestration, security and data modelling. Communicate technical concepts clearly and build effective relationships across the business. Adapt to evolving data engineering technologies, tools and techniques. Ensure data solutions meet the needs of downstream consumers and align with wider business objectives. Senior-Level Responsibilities
Provide technical leadership to data engineering teams and establish effective delivery frameworks. Engage with business stakeholders to define project requirements, work packages and team structures. Lead technical design sessions and support the selection of strategic data products and platform technologies. Promote engineering best practices and support the successful delivery of data projects. Develop broader expertise across data modelling, architecture, strategy, data science and analytics. Demonstrate increasing technical depth and breadth across a range of data engineering tools and platforms. Mentor colleagues and contribute to knowledge sharing and continuous professional development. Essential Skills and Experience
The successful candidate will demonstrate experience in several of the following areas: Strong data engineering experience, including building and maintaining data pipelines. Proficiency in SQL, Python or similar programming languages. Knowledge of software engineering principles and DataOps practices. Understanding of data management, data modelling, orchestration and data security. Experience establishing or managing cloud-based data infrastructure and storage solutions. Ability to translate business requirements into practical technical solutions. Strong communication and stakeholder management skills. Experience collaborating across multidisciplinary teams and organisational functions. The ability to learn new technologies and adapt to changing project requirements.
TPBN1_UKTJ
Build, enhance and maintain data pipelines to extract, transform and load data (ETL). Apply software engineering and DataOps best practices to develop, test and deploy high-quality data solutions. Work with technical and non-technical stakeholders to understand business challenges and translate requirements into effective engineering solutions. Collaborate with data architects, scientists, analysts and other teams to support end-to-end data delivery. Develop and maintain cloud-based data infrastructure and services for data storage and processing. Apply best practices in data management, orchestration, security and data modelling. Communicate technical concepts clearly and build effective relationships across the business. Adapt to evolving data engineering technologies, tools and techniques. Ensure data solutions meet the needs of downstream consumers and align with wider business objectives. Senior-Level Responsibilities
Provide technical leadership to data engineering teams and establish effective delivery frameworks. Engage with business stakeholders to define project requirements, work packages and team structures. Lead technical design sessions and support the selection of strategic data products and platform technologies. Promote engineering best practices and support the successful delivery of data projects. Develop broader expertise across data modelling, architecture, strategy, data science and analytics. Demonstrate increasing technical depth and breadth across a range of data engineering tools and platforms. Mentor colleagues and contribute to knowledge sharing and continuous professional development. Essential Skills and Experience
The successful candidate will demonstrate experience in several of the following areas: Strong data engineering experience, including building and maintaining data pipelines. Proficiency in SQL, Python or similar programming languages. Knowledge of software engineering principles and DataOps practices. Understanding of data management, data modelling, orchestration and data security. Experience establishing or managing cloud-based data infrastructure and storage solutions. Ability to translate business requirements into practical technical solutions. Strong communication and stakeholder management skills. Experience collaborating across multidisciplinary teams and organisational functions. The ability to learn new technologies and adapt to changing project requirements.
TPBN1_UKTJ
Reference: WJ-799_31274665