Customer-Facing Data Architect

London (with UK travel) 

An industry that’s stuck in its ways. We only work with people as ambitious and driven as we are. At Mudano there’s no time to kick back, stick your feet up and look out of the window. We’re on a mission to transform an entire industry. It’s a big challenge. But what doesn’t challenge you, doesn’t change you. People with this drive and fire are our life blood. They aspire to do and be more. That’s why our acceptance rate is even tougher than Harvard. We only want the best, and people who believe in values that will realise a vision.

Our people. Our practitioners. Focused on project efficiency and business value delivery.  Passionate about removing bias and guesswork and replacing it with informed, objective decision-making.

We are looking for authentic and committed Data Architects to design solutions for effective applications underpinned by your understanding of data technologies, tools and languages. You will be responsible for building algorithms to help give easier access to raw data by understanding objectives and business goals.

Job description and duties:

/ You will be working on projects including: Data Strategy, Data Analytics, Applied Machine Learning, Regulatory compliance, or Data transformation

/ You will be integrating and transforming data sources to produce and test new products

/ Your understanding of code control and deployment will support continuous delivery of production applications

/ You will be implementing complex solutions ranging from batch to streaming architectures, cloud on-premise implementations, simple cron based batch processes to event driven and streaming architectures

/ Additionally, you may be translating data to insights that enable the business to make decisions as well as using your data visualisations to tell a compelling story with data that makes complex topics understandable

/ You will be working on projects at our customer’s offices (travel required) as well as internal developments in HQ

Key skills and experience:

/ 5+ years’ work experience in data engineering in a customer or business facing capacity

/ Strong SQL knowledge, specific knowledge of Postgres would be valuable

/ Strong Python experience in data ingestion and processing pipelines

/ A strong understanding of data modeling, data structures, databases, and ETL processes

/ Implement cloud technologies such as GCP, Azure and AWS

/ An in-depth understanding of architecture large scale data sets, including both structured and unstructured data

/ Excellent communication skills, including prioritising, problem solving and interpersonal relationship building

/ An ability to understand and articulate requirements to technical and non-technical audiences

/ Experience with Hadoop and/or Spark would be a bonus

Benefits and compensation:

/ Generous personal training budget for your professional development

/ Comprehensive coaching programme

/ Monthly book allowance

/ Comprehensive benefit package including private medical, wellbeing cover, and group life insurance

/ 24-hour counselling

/ Good work/life balance

/ Salary depending on experience

/ 25 days’ annual leave plus bank holidays

/ Pension scheme with 3% employer contribution

/ Monthly socials

/ Discounted gym membership

/ Thursday social hours, networking, and unlimited tea/coffee and fruit

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