Software Engineer Manager - Python

London
£55000 - £75000 per annum

Senior Software Engineer - Python

London

Up to £75,000

The company

This company is wholly involved and pride themselves on being a hugely rich data business that are dedicated in providing accurate and strong analysis, in order to make a more successful business. Therefore, you will have an important role in ensuring that the data base is suitable enabling this analysis and gain great exposure to modern software and product development techniques. They make it their priority to immerse people in a fun and fast paced environment giving employees the ability to progress, all with the support of other team members such as fellow software developers and architects. They encourage innovative thinking both to inspire employee growth and push the business forward.

The Role

To fit this role the company is looking for an enthusiastic Python developer that is able write well structured and clean code in order to improve their business and take it to the next level. Alongside your developing your experience as a Python Software Engineer, this company will give you the opportunity to learn other, new languages. As part of this role you will need to:

  • Assist in architecture systems and applications as well as designing smart and innovative ways of storing and presenting complex data through the use of Python.
  • Write automated tests and be active within the agile development team.
  • Take a hands-on approach to Unit testing, including mocking and behavioural testing, and Continuous Integration & Continuous Delivery pipelines.

Key Skills and Requirements

  • Proven experience of Python and its libraries and frameworks e.g. Flask and Django
  • Advanced understanding and experience in architecture and infrastructure, DevOps and why this is significant to development teams, tools such as JIRA, functional programming and unit testing.
  • Have knowledge and experience of GIT and continuous integration pipelines as well as relational and non-relational databases.
  • Be experienced when using service orientated architecture and framework agnostic development.
  • Experience gathering data from stakeholders.

HOW TO APPLY

Interested? Please register your interest by submitting your CV directly by applying to this advert.

Send similar jobs by email
VAC - 44692
London
£55000 - £75000 per annum
  1. Permanent
  2. Software Engineer

Similar Jobs

Salary

€62000 - €78000 per annum + Performance Bonus

Location

Berlin

Description

Leading consultancy firm are looking for an experienced software engineer based in Berlin.

Salary

€35000 - €40000 per annum

Location

Dunkerque, Nord-Pas de Calais

Description

Au sein du datalab d'un des leaders de l'industrie, vous apporterez votre expertise des mathématiques afin d'apporter de l'insight.

Salary

Up to £100000 per annum + Additional Benefits

Location

Hertfordshire

Description

DevOps Manager position, hands on and and managerial.

Salary

£65000 - £75000 per annum + Bonus

Location

London

Description

Collaborate with other experienced software engineers to design and develop new services and software solutions.

Salary

Up to £100000 per annum + Numerous Benefits

Location

London

Description

DevOps Manager role that is rich in leadership and hands on technical skills.

Harnham blog & news

With over 10 years experience working solely in the Data & Analytics sector our consultants are able to offer detailed insights into the industry.

Visit our Blogs & News portal or check out our recent posts below.

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.

How Data Is Shifting Defence

How Data Is Shifting Defence

When looking at the cyber security measures in 2019 the outcome is uncertain. Threats come in the form of pariah states, extremely skilled individuals, and illiberal actors. However, what is certain is the leaps and bounds made in technology.  Before computers, defence documents were in government offices. By the Second World War this would progress onto secure sites, take Bletchley Park for example.   The real watershed would come years later in the Cold War. While there was no direct military action (aside from the proxy Korean and Vietnam War), this tension was illustrated elsewhere, with the space race and nuclear armaments to name but a few. Both sides went to extraordinary lengths to guard and seize intelligence through covert ops. As this classified information made its way onto computers and in turn brought about new risks. This theme continues to the present day; as technology improves, so do offensive and defensive capabilities.  Hard Power With the advancement in technology this has been used by militaries to take and saves lives. Only a matter of years ago aerial bombardment would have to involve putting pilots at risk, flying deep behind enemy lines. These days, a bombing run could be carried out anywhere in the globe with the ‘pilot’ not having to leave their chair. How? Through Unmanned Aerial Vehicles (UAVs). This removes any casualties to their pilots, using advanced systems in Computer Vision to operate across the globe.  The ethics of this remain debated and there are many who express doubts at the use of AI, fearing their destructive potential. Others, however, see this as necessary advancement.  Indeed, in asymmetric warfare, established states’ advanced technology is near enough untouchable. Take an example from the US Marines. Still in testing, an advanced platform can allow troops on the ground to see if a room has been cleared, saving friendly lives. This is way above the capabilities of rogue terrorist forces, and looks set to play a crucial role in saving lives. It would seem highly unlikely that the Taliban, for example, could use sophisticated weaponry to bring down a jet.  However, the danger in 2019 now lies with the established illiberal states who still pose a serious threat. It is paramount that nations continue to advance, to both deter and, if needed, counter a hostile force. Soft Power While NATO states have shown dominance in physical terms over past foes, 2019 brings uncertainty when it comes to soft power, most notably cyber-security. The threats to this are very real, and are a put civilians at risk - take the Sony and NHS hackings as an example.  Moreover, the notion of alleged election meddling continues to plague politics, notably the US 2016 Election and the Brexit referendum. There have been several accusations of state-sponsored foul play incorporating the use of bots to influence people’s decision making, mostly through continual pressure on either fake news or mass-support of certain decisions. They impact society directly into our homes, considering the popularity of social media platforms like Twitter and Facebook. Alongside many other nations, the UK is taking action to counter this type of threat. Only recently a specialist cyber-security division in the army has been established, quite literally to both counter, and if needed, launch cyber-attacks.   Ultimately, society has come a long way, physically and online when it comes to defence. Sophisticated weaponry continues to develop but is raising new ethical questions, particularly in regards to the use of AI and Computer Vision. Civilian institutions remain at risk, with many having been targeted in hacks or through intervention on social media. Threats may continue to evolve, but so will defence strategies, with the two competing to stay one step ahead of the other.   If you’re interested in applying Data & Analytics to national security, we may have a role for you. Take a look at our latest opportunities, or get in touch with one of our expert consultants to find out more. 

Recently Viewed jobs