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Python Developer - Web Scraping
£35,000 to £60,000
A business doing ground-breaking and confidential Data Science work in their sector are looking a Python Developer to scrape web data to facilitate advanced analytics. The team use a wide range of advanced techniques including Deep Learning for NLP and Image recognition and web scraping to access large and messy data sources to give them an advantage over their competitors. Their Data Science team are some of the best professionals on the market and the Head of Analytics reports directly to the owners. The aim is to grow an equivalent team of 6 Data Engineers to partner with the Data Scientists to improve the quality and efficiency of their solutions.
If you are a Python Developer interested in doing genuine pioneering work in analytics and their industry sector, this could be the role for you.
YOUR ROLE AND RESPONSIBILITIES
As Python Developer, you will:
YOUR SKILLS AND EXPERIENCE
To qualify for the Python Developer, you will need:
HOW TO APPLY
In order to apply for this Python Developer role, please do so via this site. For more information, reach out to Ross at Harnham.
KEYWORDS: Python, R, AWS, SQL, Deep Learning, NLP, Data Science, Data Engineering
€35000 - €45000 per annum + BENEFICIOS
Compañía líder en proyectos de innovación busca incorporar a su equipo de Datos a un Ingeniero de Datos Senior con experiencia en entornos Big Data.
£650 - £750 per day
As a Big Data DevOps Engineer, you will be responsible for implementing a Hadoop solution and deploying Docker containers for a UK leading bank.
US$140000 - US$160000 per year + Equity + Benefits
San Francisco, California
Our Google-backed client has recently closed 30M in funding, located in the Bay Area specializes in autonomous vehicles is looking for a Data Engineer.
US$170000 - US$200000 per year + bonus
One of our key clients in New York City is a well-funded growth stage startup who partner with financial institutions and borrowers to facilitate lending.
US$160000 - US$190000 per year + Equity + Benefits
San Francisco, California
A venture backed B2C startup in San Francisco is seeking a Senior Big Data Engineer to join their rapidly growing team!
With over 10 years experience working solely in the Data & Analytics sector our consultants are able to offer detailed insights into the industry.
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Summer is here and over half will be planning their holiday via mobile phone. Heathrow Airport, one of the busiest airports in the world, will be filled to the brim with eager travelers. Hotels and cruise ships will be bursting at the seams. But, will the people traveling today, be the same people traveling next summer? How will the travel organisations know? They’ll need data analytics to help them make sense of all their data with advice and direction on how best to utilise nuggets of actionable insights. It wasn’t that long ago, at the busiest time of the year, Heathrow, as well as most of the airports around Europe, shut down. Why? Because no had planned for something of that magnitude – the snowstorm of the century some said. Tangible evidence of planning for every scenario, no matter how unlikely. What Would a Data Professional Do? Data professionals ask questions. They create scenarios. In the above instance, what might a Data Engineer have asked? In a data-driven world, could the airport shutdowns have been prevented? Would scenarios and algorithms have helped to scale corrections faster? These are just a few of the questions a data professional might ask. But, in order to provide solutions, first you need a builder – a data engineer. You don’t always have to build from the ground up, though. Sometimes, reconstruction and refurbishment are just what’s needed to bring a project back to its former glory. Digital Transformation in Travel As travel companies prepare for the upcoming Digital Travel Summit at the end of this month, they’ve released a report targeting certain areas on which to focus. Not the least of which is the need for stronger data analytics with less than half reporting they have a plan in place but are looking to improve it. One of the main areas of focus according to the report is lack of programming skills coupled with a hesitant approach by management. The complexity and difficulty of trying to analyse and personalise the sheer amount of consumer data available is also a factor. And without the right tools, it’s even more difficult. Knowing what data is useful and what is isn’t is a major challenge, as well as the ability to track large amounts of data in real time can be a daunting task. These challenges and more, offer the perfect opportunity for a seasoned Data Engineer to step in, and take on a leadership role. Take the Next the Step Are you a Data Engineer ready to take your career to the next level? Are you a wizard at big data technologies with a leadership bent? Then we may have a role for you. A leading e-commerce company is looking to transform their data infrastructure (Python, AWS, Airflow) by hiring a senior data engineer. Check out our other current vacancies or contact Joshua Carter, Recruitment Consultant with a Data Engineering focus at +44 20 8408 6070 or email email@example.com to learn more.
07. June 2018
Do you like breaking things down to see how they work? Do you want to build something that helps solves problems and can make lives better? Are you a puzzle solver curious about the world around you with a knack for mathematics? Do you prefer to work behind the scenes or front of stage? If you want to be the person behind the curtain, then this is your year. The year of the Data Engineer is here. In last week’s article, we talked about Data Engineer as the unsung hero of the data science world and briefly touched on route to the role of engineer. Though experience supersedes education, you do need the basics – a bachelor’s degree in computer science, data science, applied math, physics, statistics, software/computer engineering which can lead to a Master’s in Data Engineering and to cement your knowledge – fellowships and professional organisations are now available around the world. In today’s article, we’ll cover a few options. Lay Your Educational Foundation Computer Science, Data Science, and Engineering programs abound in university today, but no school can really teach big data skills. It’s too focused. Most schools today offer general purpose tech education with a focus on web development or backend systems. And here begins that Catch-22. Though experience supersedes education, you still need a framework from which to build. More often than not, if you type Data Engineer into Google looking for education programs, you’ll get undergrad opportunities for Data Science. However, that’s not to say a Bachelor’s in Data Science can’t lead you to a Master’s in Data Engineering. So, how do you get from point A to point B? Here are a few suggestions: Beef up your skills with specific certifications for the languages businesses need – Scala, Python, and Java Take courses in data engineering technology: Hadoop, Spark, AWS, GCP, Azure etc. Join a professional organization for Data Engineers such as The Data Warehousing Institute (TDWI) or the Institution of Engineering and Technology (IET) – here you’ll find articles, resources, and a network of mentors ready to offer advice and suggestions. Apply for a fellowship with ASI Data Science – an 8-10 week intensive project with one of their partner companies to solve real-world business problems using Data Science or Data Engineering skills. If you’re a postgrad or higher, this a perfect opportunity to build your portfolio. Boost Your Data Engineering Resume with These Tips In the world of data engineering, it’s important to highlight the details. Be specific: Companies will be more interested in interviewing you if you can clearly outline why/what you have used different technology for. Keep this punchy and concise, and outline your in-put with said technologiesOutline projects you’ve worked on Detail the technologies you’ve used David Bianco, a Data Engineer with Urthecast, offers the following advice to data engineering students. Be fluent in the languages and tools you use to get the job Understand the concepts behind what you’re doing Get involved with a community – meetup.com, hackathons, and other groups in your area are great places to get started. If you’re interested in switching your career to Big Data, check out Jessen Anderson’s new e-book, The Ultimate Guide to Switching Careers to Big Data -- Upgrading Your Skills for the Big Data Revolution. Your Turn: Route to the Role of Data Engineer Our data driven world moves at lightning speed and it can be hard to keep up. If you’re a Data Engineer, we want to hear your story. What was your route to the role? What kind of cross-training programs might businesses and schools employ for future Data Engineers? What other backgrounds are we overlooking as businesses seek to find and engage this most critical role within their data science teams? What can we, as recruiters do to engage qualified candidates ready for their next role in the world of data and analytics?
21. May 2018