Job details These are the details of the job, consider each of them before you apply. Company: QueryClick Salary: Salary to be Agreed Remote?: Yes Job Description: Description Who are QC? Founded in 2008, we’re an independent digital marketing agency and SaaS provider focused on data-driven insights and pioneering in-house technology. With offices in London and Edinburgh, we deliver multi-channel insights and strategic consultancy so blue-chip businesses can maximise growth. We work with well-known brands such as BT, EE, Quiz and Aggreko, treating our clients as partners and putting their business objectives at the heart of what we do. We are building a brand new software product. Powered by machine learning and capable of handling massive amounts of marketing behaviour data, the Corvidae product allows its users to understand the value of their marketing activity and use this information to automatically optimise that activity. QueryClick need skilled, passionate technical team members to be part of building Corvidae from initial working version into a fully fledged, production capable software product. What are we looking for? As our Senior Data Engineer in the Corvidae project you will be expected to implement, deploy, and manage the data pipeline and storage components of the Corvidae delivery process from end to end, effectively and efficiently. Understanding the data pipeline requirements which enable the reporting and modelling needs of the product and ensuring that enables high quality and robust delivery to Corvidae clients. You will be responsible for setup, deployment, and maintenance of data processing infrastructure (cloud storage, cloud compute, clustering, etc.), data cleansing, and data enrichment. Requirements Extensive professional experience in the building and maintenance of production quality data management pipelines Excellent experience with Python, SQL and commonly related tools and libraries Excellent experience of the setup, use, and maintenance of cloud storage and cloud compute products (preferably Azure) Experience in the setup and maintenance of container solutions such as Kubernetes Experience in enabling output delivery through data enablement Experience working with web technologies Working knowledge of database administration Experience in data extraction and manipulation Using distributed/clustered computing systems Benefits Location This role can be based remotely with some travel to Edinburgh office to be expected. Some of our benefits include: Your DevelopmentWe believe in continuously investing in your talent and offer an industry-leading training and development programme Work/Life BalanceWe understand a great work, life balance is important so offer flexi-hours and working from home options. Monthly staff rewards Flexible annual leave (34 days) with options to buy/sell leave. Travel loan options & Technology loans and discounts Perkbox - high street discounts, reduced gym membership and cycle to work scheme Company pension contributions, life insurance and private medical scheme Competitive Salary dependent on skills and experience Follow our company instagram for a snapshot into life at QC @Queryclick If you are our next QueryClicker then please apply now - we look forward to receiving your application.