Lead Azure Data Engineer

City of London, London
£80000 - £90000 per annum + package

LEAD AZURE DATA ENGINEER
INSURANCE
LONDON- CURRENTLY FLEXIBLE/ REMOTE/ HOME WORKING
£80,000-90,000 + PACKAGE

A specialist insurance company who are part of a larger international insurance company are looking for an experienced Azure Data Engineer to help build data ingestion and ETL pipelines for 2 different BI streams in the business and work exclusively on Greenfield projects in order to platform data effectively for business critical reporting and analytics

THE COMPANY

The company are specialised in a few different types of insurance but are part of a globally successful umbrella company. They are a pleasant company to work for with lots of experience in their niche and long term business goals and objectives which have resulted in them seeing great profits in the last couple of years when their competitors have been shrinking and because of this they have invested in building an analytics function over the last 12 months in order to remain as competitive as possible and stay ahead of their competition

THE ROLE

If you were to be successful in your application for this Lead Azure Data Engineer role, your responsibilities would include:

  • Working on a project basis with the 2 BI Workstreams (Self service BI and 3rd party data leveraging) in order to build data pipelines or structures to enable analytics
  • Serve as the Azure SME and main POC in the team to work closely with a solution architect and a data engineer who also have some azure experience but this person would be coming in as the lead
  • Work exclusively on Greenfield projects and not have to touch their legacy systems due to a 2 year agreement the CTO has agreed in order to build new best in class pipelines and structures


SKILLS AND EXPERIENCE

In order for your application for the Lead Azure Data Engineer role to be successful you will need:

  • Strong experience with Azure and the Azure stack building data pipelines and taking data from multiple sources and ingesting it correctly onto the platform
  • Strong communication skills and the ability to steer very capable peers and get the most out of a team
  • Ideally a little programming experience with something like Python would be helpful
  • Experience with Azure Data Factory as as much of the Azure stack as possible and a strong data warehousing background most likely from a Microsoft background
  • Experience within a regulated data environment would be very useful (banking, insurance etc) but not a must have

HOW TO APPLY

If you are interested in this Lead Azure Data Engineer role please apply via this site.

KEYWORDS

SQL, Azure, Azure Data Factory, ETL, Data Engineer, Cloud

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81369/EP
City of London, London
£80000 - £90000 per annum + package
  1. Permanent
  2. Business Intelligence

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If this type of app is publicised during the Coronavirus, maybe more people will understand the power of what Data and Data Science can do and more companies that are slow adaptors will see this and see how it could be helpful to their industry.”   If you want to make the world a better place using Data, we may have a role for you, including a number of remote opportunities. Or, if you’re looking to expand and build out your team with the best minds in Data, get in touch with one of expert consultants who will be able to advise on the best remote and long-term processes. 

What Does The Fourth Industrial Revolution Look Like?

We’re in the next stage of the fourth Industrial Revolution and technologies continue to merge. No longer is advancement as simple as adding “tech” to the end of a word - sorry Fintech, InsurTech, HRTech, and the rest. Now technologies stand together as each becomes a separate piece of how tech operates in the business world. AI and IoT have merged to become AIoT. Data is as much commodity as it is information to fuel business growth. Computer Vision partnered with AI is teaching computers to convert their ones and zeros to images humans take for granted.   In a word, it’s a transformative time for every industry and every industry is taking advantage of the benefits in one way or another. Smart manufacturing. Human Resources. Marketing. Even insurance has joined the party. But, with so many advancements, we thought we’d take a look at just the tip of the iceberg, starting with A, B, and C.  AI Meets IoT  We’ve all heard how AI and the Internet of Things (wearable and smart devices etc.) are being used in the Health sector. With the kind of real-time Data available, patients, insurers, and medical professionals can map out health plans based on wearable devices to track patient health and encourage preventative care.  Indeed, one insurance company is embracing these Data trends to ramp up the speed and efficiency of their data. Using Machine Learning and IoT sensors to develop an AI-based solution, customer information is used to match clients with the right policies tailored to their needs.  Car insurance is another industry to benefit. Insurers are able to collect real-time driving data which they can analyse to determine risk or offer discounted policies for good driving. This kind of information can also be used to revisit and reconstruct accident scenes to figure out what happened and who’s at fault.  Big Data, Big Money We’ve all heard the phrase ‘Data Is The New Oil’ by now, which I’m sure we can all agree, just means Data is a resource everybody wants and is willing to pay a lot for. But the differences between Data and Oil are two-fold; Data has the potential to be infinite, and it tells us about what oil cannot; the human experience.  Cloud technologies, edge hardware, and the IoT have helped shape the digitisation of objects, people, and organisations. From sensors to wearable devices, more and more data is being collected, allowing us to be more connected than ever before. It’s also providing more information to the tech giants than ever before. For example, Amazon’s Ring doorbell is logging every motion around it and can pinpoint the time to millisecond.   Add these technologies to Natural Language Processing (NLP) and watch the world around us draw value from and understand our Data like never before. The wave of Big Data value shows no signs of slowing down. Computer Vision in Business In the last few years, Computer Vision has been making great strides in the business world. Yet the Data required for processing power and memory can still be impacted by image quality. The opportunities  are alive with possibility and, from small businesses to enterprise solutions, Computer Vision has seen a variety of industries finding practical business uses.  Below are just a few additional areas Computer Vision is making its mark. Facial Recognition – providing surveillance and security systems in such areas as police work, payment portals, and retail stores.Digital Marketing – sorting and analysing online images to target ad campaigns to the right audiences.Financial Institutions –preventing fraud, allowing mobile deposits, analysing handwriting, and beyond. With the global market for fourth industry technologies predicted to be between $17.4 billion and $48.32 billion by 2023, now is the time to find your focus within the industry.  Ready to take the next step in your career? Whether you’re interested in AI, Big Data and Analytics, Computer Vision or more, we may have a role for you. Take a look at our current opportunities or get in touch with one of our expert consultants to find out more.  

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