Mid Senior Data Engineer (Analytics)

📋 Description

• • Join Methods Analytics (MA) as a Mid-Senior Data Engineer (Analytics) and play a pivotal role in shaping the future of data-driven decision-making for our diverse clientele.
• • This is a permanent position offering a competitive salary range of £40,000 to £80,000, reflecting the experience and expertise we seek.
• • While the role is primarily remote, we value collaboration and expect flexibility for occasional travel to client sites and our offices located in London, Sheffield, and Bristol.
• • As a Data Engineer at Methods, you will be at the forefront of technical innovation, leading critical data engineering projects from conception to deployment.
• • Your primary responsibility will be to provide expert technical direction and mentorship to both junior and mid-level engineers, fostering a culture of continuous learning and development within the team.
• • You will be instrumental in designing and architecting cutting-edge data solutions, ensuring they not only meet but exceed current business objectives and stringent technical requirements.
• • This involves architecting robust, scalable, and efficient data infrastructures that can adapt to evolving business needs and technological advancements.
• • A core part of your role will be to design and implement sophisticated ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) pipelines, ensuring data is accurately and efficiently moved, processed, and made available for analysis.
• • You will build highly scalable and performant data solutions, leveraging the power of leading cloud platforms (such as AWS, Azure, or GCP) and leveraging best practices in open-source software development.
• • Developing comprehensive data models capable of handling enterprise-level analytical needs will be a key deliverable, ensuring data is structured optimally for reporting, analytics, and machine learning applications.
• • You will be empowered to make critical technical decisions regarding the selection of tools, frameworks, and methodologies for tackling complex data challenges, ensuring we adopt the most effective and future-proof solutions.
• • Optimizing large-scale data processing systems for both performance and cost-efficiency will be a continuous focus, ensuring our solutions are not only powerful but also economically viable.
• • Implementing robust data quality frameworks and sophisticated monitoring solutions is paramount to ensure the integrity, reliability, and availability of the data our clients depend on.
• • You will actively evaluate emerging technologies and methodologies to continuously enhance our data engineering capabilities and maintain our position at the cutting edge of the industry.
• • Close collaboration with a wide range of stakeholders, including business leaders, analysts, and other technical teams, will be essential to translate complex business requirements into actionable technical specifications.
• • You will be responsible for presenting complex technical solutions and strategies to both leadership and non-technical audiences, articulating the value and impact of our data initiatives clearly and concisely.
• • A significant aspect of this role involves contributing to the growth and development of the Methods Analytics Engineering Practice, actively participating in our internal community of practice, sharing knowledge, and driving best practices.
• • Your impact will extend beyond individual projects; you will enable business leaders to make informed decisions with confidence by ensuring the timely and accurate delivery of data insights.
• • You will drive the adoption of modern data architectures and platforms across the organization and for our clients, promoting efficiency and innovation.
• • By delivering seamless and reliable data solutions, you will directly enhance the user experience for analysts and business users alike.
• • You will play a crucial role in elevating the technical capabilities of the entire data engineering team through mentorship, knowledge sharing, and leading by example.
• • Ultimately, you will help cultivate a strong data-driven culture within the organization and for our clients, embedding data as a strategic asset.
• • You will establish and champion technical standards and patterns that ensure the quality, consistency, and maintainability of our data solutions, setting a benchmark for excellence.