Data Engineer

City of London, London
£50000 - £60000 per annum + + BONUS + BENEFITS

DATA ENGINEER

£50K-60K

CENTRAL LONDON

Are you a Data Engineer looking for the next step up? Ready to take on your own platform challenge? Keen on the principles of both DevOps and Automation? Apply now! Incredible opportunity to work for a beaming HealthTech company, with bounding opportunities for ownership and development, with tech such as Python, AWS, Airflow, Flask, Postgres SQL, and many more!

THE COMPANY:

You'll be joining a HealthTech giant, who use data and analytics to power their strategic decisions. Offering the opportunity to work with an exclusive, alluring data set you will have the chance to help shape an AWS infrastructure, and enable the efficiency of predictive algorithms. There are plenty of opportunities for personal development, upskills, and travel (if wanted!).

THE ROLE:

As a Data Engineer, you can expect to sit in a cross-functional team of Data Scientists and Managers who are working on ground-breaking simulations within the Healthcare industry. You'll have the chance to get stuck in working side-by-side with this elite team with limitless future opportunities.

Specifically, you can expect to be involved in the following:

  • Taking full ownership of the data ingestion process, with foresight to take on DevOps practices and maintain a well built AWS infrastructure.
  • Build out custom ETL pipelines in Python to the requirements of internal stakeholders and with time become responsible for their automation.
  • The opportunity to have your hand at implementing predictive modelling and ML models.

YOUR SKILLS AND EXPERIENCE:

You must have the following skills, attributes, and experiences.

  • Educated to a Bachelor's degree in a relevant subject area.
  • Deep understanding and knowledge of AWS infrastructure, and stack including S3, Glue.
  • Great skill in Python programming and Python scripting, which has been proven in a commercial environment, i.e. building custom ETL pipelines.
  • Proven commercial experience communicating fluidly with internal stakeholders, and delivering business requirements.
  • Knowledge/willing to learn DevOps and automation skills.

THE BENEFITS:

The successful applicant will receive a salary - dependent on experience - between £50,000-£60,000. Additionally, you will receive a host of incredible benefits, including but not limited to holiday allowance, bonus scheme, pension, flexi-time, and many more.

HOW TO APPLY:

Please register your interest by sending your CV to Francesca Arnold via the Apply link on this page.

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66893/FA
City of London, London
£50000 - £60000 per annum + + BONUS + BENEFITS
  1. Permanent
  2. Big Data

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Integrate Your Data And Business Strategies For Success

Why You Need To Integrate Your Data and Business Strategies

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How Big Data Is Impacting Logistics

How Big Data is Impacting Logistics

As Big Data can reveal patterns, trends and associations relating to human behaviour and interactions, it’s no surprise that Data & Analytics are changing the way that the supply chain sector operates today.  From informing and predicting buying trends to streamlining order processing and logistics, technological innovations are impacting the industry, boosting efficiency and improving supply chain management.  Analysing behavioural patterns Using pattern recognition systems, Artificial Intelligence is able to analyse Big Data. During this process, Artificial Intelligence defines and identifies external influences which may affect the process of operations (such as customer purchasing choices) using Machine Learning algorithms. From the Data collected, Artificial Intelligence is able to determine information or characteristics which can inform us of repetitive behaviour or predict statistically probable actions.  Consequently, organisation and planning can be undertaken with ease to improve the efficiency of the supply chain. For example, ordering a calculated amount of stock in preparation for a busy season can be made using much more accurate predictions - contributing to less over-stocking and potentially more profit. As a result, analysing behavioural patterns facilitates better management and administration, with a knock-on effect for improving processes.  Streamlining operations  Using image recognition technology, Artificial Intelligence enables quicker processes that are ideally suited for warehouses and stock control applications. Additionally, transcribing voice to text applications mean stock can be identified and processed quickly to reach its destination, reducing the human resource time required and minimising human error.  Artificial intelligence has also changed the way we use our inventory systems. Using natural language interaction, enterprises have the capability to generate reports on sales, meaning businesses can quickly identify stock concerns and replenish accordingly. Intelligence can even communicate these reports, so Data reliably reaches the next person in the supply chain, expanding capabilities for efficient operations to a level that humans physically cannot attain. It’s no surprise that when it comes to warehousing and packaging operations Artificial Intelligence can revolutionise the efficiency of current systems. With image recognition now capable of detecting which brands and logos are visible on cardboard boxes of all sizes, monitoring shelf space is now possible on a real-time basis. In turn, Artificial Intelligence is able to offer short term insights that would have previously been restricted to broad annual time frames for consumers and management alike.  Forecasting  Many companies manually undertake forecasting predictions using excel spreadsheets that are then subject to communication and data from other departments. Using this method, there’s ample room for human error as forecasting cannot be uniform across all regions in national or global companies. This can create impactful mistakes which have the potential to make predictions increasingly inaccurate.  Using intelligent stock management systems, Machine Learning algorithms can predict when stock replenishment will be required in warehouse environments. When combined with trend prediction technology, warehouses will effectively be capable enough to almost run themselves  negating the risk of human error and wasted time. Automating the forecasting process decreases cycle time, while providing early warning signals for unexpected issues, leaving businesses better prepared for most eventualities that may not have been spotted by the human eye.  Big Data is continuing to transform the world of logistics, and utilising it in the best way possible is essential to meeting customer demands and exercising agile supply chain management.  If you’re interested in utilising Artificial Intelligence and Machine Learning to help improve processes, Harnham may be able to help. Take a look at our latest opportunities or get in touch with one of our expert consultants to find out more.  Author Bio: Alex Jones is a content creator for Kendon Packaging. Now one of Britain's leading packaging companies, Kendon Packaging has been supporting businesses nationwide since the 1930s.

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