Data Engineering and Big Data jobs

What We Do

Processing Big Data has become crucial to countless businesses. Those who decide to pursue a career within Big Data face complex development challenges, too tough for relational database systems. After all, there is no Data Science without Data Engineers.

Whilst businesses may have vast quantities of data at the ready, it holds no real value unless it can be stored, harnessed and utilised. It’s estimated that most UK companies have at least 100 terabytes of data stored which could be used for various purposes around the business, as well as newly accessible hard-to-process sources such as web data, image data, and social media data. 

This is where those who work in Data Engineering become extremely valuable, as they develop Data Platforms that allow this kind of volume to be processed and used by Data Scientists and analysts across the business.

Whether you are a company looking to build a data platform for advanced analytics, or you are a candidate who can build systems and applications to process vast, complex data sources, Harnham are here to help. 

Technical skills: AWS, Google Cloud Platform and Azure, Spark, Hadoop, Java, Scala, Python

Latest Jobs

Salary

€80000 - €115000 per annum

Location

Paris, Île-de-France

Description

Cette société en plein développement recherche son prochain Head of Data pour l'accompagner dans sa croissance.

Salary

€40000 - €50000 per annum

Location

Amsterdam, North Holland

Description

An e-commerce platform in Amsterdam is looking for an experienced engineer to join their team to develop and improve their cloud platform

Salary

€45000 - €55000 per annum + competitive benefits package

Location

Amsterdam, North Holland

Description

An exciting role for a Data Engineer in Amsterdam ready to work for a multinational company!

Salary

€55000 - €70000 per annum

Location

Paris, Île-de-France

Description

Cet acteur majeur de la finance recherche un Senior Data Engineer pour prendre le lead sur l'équipe développement.

Salary

£80000 - £90000 per annum

Location

London

Description

An Exciting opportunity has come available to work with an online digital marketplace leader to build out a new greenfield data lake and analytics platform.

Salary

€75000 - €85000 per annum + Benefits

Location

Berlin

Description

An established automotive manufacturer is looking for a Data Engineer to lead their team in the most modern Cloud tech!

Salary

€70000 - €80000 per annum

Location

Paris, Île-de-France

Description

Cette société accompagne les entreprises dans la transformation de leurs systèmes d'informations.

Salary

US$120000 - US$130000 per annum + Additional Benefits

Location

Cincinnati, Ohio

Description

My client in Ohio are looking for big data engineering experts looking to join a learning-based cutting edge environment to grow technically!

Salary

£70000 - £80000 per annum

Location

London

Description

Senior Data Engineer roles with an e-commerce company in London.

Salary

£60000 - £65000 per annum + + BONUS + BENEFITS

Location

London

Description

Senior Ruby Software Engineer. Come in and help grow your knowledge nad demonstrate your expertise across a Ruby role in a supportive environment.

Salary

US$160000 - US$170000 per annum + Additional Benefits

Location

Boston, Massachusetts

Description

Are you a passionate architect and coder in Big Data looking to head up a team working on AWS serverless technologies? Read below to see if you are a fit!

Salary

£70000 - £85000 per annum

Location

London

Description

A new role in with a healthtech start-up based in Central London.

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.

Why it is hard to build a Big Data team

Why it is hard to build a Big Data team

Increasingly, I speak to managers who are adopting big data tools and developing PoCs to prove how they can make use of them. Just last week I spoke to a data architect who mentioned that if he didn’t get exposure to big data tech sooner rather than later, his current RDBMS skills may become redundant within the next few years. While that is likely an exaggeration, it is certainly an interesting point. Companies that would have never previously had the capability to interpret ‘Big Data’ are now exploring a variety of NoSQL platforms. In particular, the massive performance benefits gained from Spark and real-time/streaming tools have opened up a whole new world beyond just MapReduce. I don’t claim to be a data engineer, but as a recruiter for this sector, what I do is spend all day, every day interacting with big data developers, architects and managers (as well as keeping a close eye on the latest Apache incubator projects). Due to this, I have seen some recurring themes that have become trends when companies look to create and build their big data teams that are coming to the fore. Candidate demand The demand for Big Data professionals is very much a present day issue as the data companies have grand plans for is waiting for the right data developer to use the best tech to extract valuable insights from it. The best candidates receive massive interest, often gain multiple offers from a range of companies. Your business is now no longer just competing with large corporations such as Facebook, Twitter or Yahoo. Startups and SMEs are also vying for the best candidates. Candidates are seeing pay rises twice that of the normal rate, as illustrated in our salary guide. Candidate shortage The number of candidates with hands-on, production level Big Data experience is incredibly limited. We go to great lengths to find the candidates who can add real value to companies. The growth and exciting future for the big data industry has led to increased interest in big data jobs, particularly for those from RDBMS or software. engineering backgrounds. This leaves the industry in a difficult predicament: high demand + low supply = massive competition. There are countless examples of companies that have failed to recruit a Big Data team after a year of looking. Competition to get ahead and stand out Planning - Companies need to have a data road map detailing their future plans. Candidates want to clearly know what they are getting into and what to expect from a job. Innovation - Why get stuck on batch processing? The most exciting positions that candidates love are in data innovations teams, playing with real-time/streaming tech and new languages. Personal development, growth and training – with the data science market experiencing similar growth, many big data engineers are looking for a job that not only offers the chance to work with machine learning and similar fields; but training, mentoring towards clear career progression as standard. Speed – the length of the interview process is often seen as a reflection of the amount of red tape developers have to go through to get a job. The longer and more convoluted the process, the more put off some people may be. Complacency – don’t rest on your laurels, it’s unlikely that you’ll get 10s of CVs through when you are looking to fill a data role, so when you find a candidate you like, move swiftly to show your interest to them as quality candidates don’t come around often. By implementing these small but effective improvements to your recruiting process and how you develop data talent will see you create a team that is a success in this ever more digital analytics landscape. Companies who don’t create and nurture strong, dynamic teams will fall by the wayside. It’s Harnham’s job to help you achieve this goal. Get in touch with us to tell you how. T: (020) 8408 6070 E: info@harnham.com

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