November 5
🇬🇧 United Kingdom – Remote
⏰ Full Time
🟡 Mid-level
🟠 Senior
🚰 Data Engineer
🇬🇧 UK Skilled Worker Visa Sponsor
• Methods Analytics exists to improve society by helping people make better decisions with data. • Combining passionate people, sector-specific insight and technical excellence to provide our customers an end-to-end data service. • We use a collaborative, creative and user centric approach data to do good and solve difficult problems. • We ensure that our outputs are transparent, robust and transformative. • We value discussion and debate as part of our approach. • We will question assumptions, ambition and process – but do so with respect and humility. • We relish difficult problems, and overcome them with innovation, creativity and technical freedom to help us design optimum solutions. • Ethics, privacy and quality are at the heart of our work and we will not sacrifice these for outcomes. • We treat data with respect and use it only for the right purpose. • Our people are positive, dedicated and relentless. • Data is a vast topic, but we strive for interactions that are engaging, informative and fun in equal measure. • Methods Analytics was acquired by the Alten Group in early 2022. • Methods Analytics (MA) is recruiting for a Data Engineer to join our team within the Public Sector Business unit on a permanent basis. • This role will be mainly remote but require flexibility to travel to client sites, and our offices based in London, Sheffield, and Bristol.
• Work closely with cross-functional teams, translating complex technical concepts into clear, accessible language for non-technical audiences and aligning data solutions with business needs. • Collaborate with a dynamic delivery team on innovative projects, transforming raw data into powerful insights that shape strategic decisions and drive business transformation. • Utilise platforms and tools such as Microsoft Fabric, Azure Data Factory, Azure Synapse, Databricks, and PowerBI to build robust, scalable, and future-proof end-to-end data solutions. • Design and implement efficient ETL and ELT pipelines, ensuring seamless integration and transformation of data from various sources to deliver clean, reliable data. • Develop and maintain sophisticated data models, employing dimensional modelling techniques to support comprehensive data analysis and reporting. • Implement and uphold best practices in data governance, security, and compliance, using tools like Azure Purview, Unity Catalog, and Apache Atlas to maintain data integrity and trust. • Ensure data quality and integrity through meticulous attention to detail and rigorous QA processes, continually refining and optimising data queries for performance and cost-efficiency. • Develop intuitive and visually compelling Power BI dashboards that provide actionable insights to stakeholders across the organisation. • Monitor and tune solution performance, identifying opportunities for optimisation to enhance the reliability, speed, and functionality of data systems. • Stay ahead of industry trends and advancements, continuously enhancing your skills and incorporating the latest Data Engineering tools, languages, and methodologies into your work.
• Autonomy to develop and grow your skills and experience • Be part of exciting project work that is making a difference in society • Strong, inspiring and thought-provoking leadership • A supportive and collaborative environment • Development access to LinkedIn Learning, a management development programme and training • Wellness 24/7 Confidential employee assistance programme • Social – Breakfast Tuesdays, Thirsty Thursdays and Pizza on the last Thursday of each month as well as commitment to charitable causes • Time off 25 days a year • Pension Salary Exchange Scheme with 4% employer contribution and 5% employee contribution • Discretionary Company Bonus based on company and individual performance • Life Assurance of 4 times base salary • Private Medical Insurance which is non-contributory (spouse and dependants included) • Worldwide Travel Insurance which is non-contributory (spouse and dependants included)
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