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

£85000 - £100000 per annum + Additional Benefits

Location

London

Description

One of the largest multinational, telecoms companies is giving you the chance to lead the way in their ever-evolving digital communications.

Salary

£70000 - £90000 per annum

Location

London

Description

DATA ENGINEER ROLE - An opportunity to join a growing team who work with clients from a broad range of industries to better their knowledge and use of data.

Salary

€40000 - €50000 per annum

Location

Amsterdam, North Holland

Description

As a senior data engineer you will be helping the company manage their existing big data infrastructure and AWS cloud.

Salary

£60000 - £70000 per annum + + BONUS + BENEFITS

Location

City of London, London

Description

Python/AWS Data Engineer role - leading ML company on an ethical mission

Salary

US$180000 - US$200000 per annum + Additional Benefits

Location

New York

Description

A NYC healthcare leader is looking to bring in a Director of Data Engineering to join their team!

Salary

€80000 - €90000 per annum

Location

Amsterdam, North Holland

Description

A leading Dutch Bank in Amsterdam is looking for a Data Engineering Chapter lead to come up with, and then deliver new data engineering projects

Salary

500000kr - 840000kr per annum

Location

Stockholm

Description

Do you enjoy technically complex systems and thrive in a self-managing team?

Salary

550000kr - 600000kr per annum

Location

Oslo

Description

If cloud-based tech, rapid growth, and innovating excite you, then look no further.

Salary

£50000 - £70000 per annum

Location

London

Description

Exciting opportunity to join a leading Bank on one of their latest apps!

Salary

£65000 - £75000 per annum

Location

London

Description

Senior Data Engineer role at a fun London based company!

Salary

US$190000 - US$200000 per annum

Location

New York

Description

Do you want to join a technology-focused health company aimed at improving patient care?

Salary

£50000 - £65000 per annum + Additional Benefits

Location

Glasgow

Description

Work with one of the largest investment banks in the UK, sitting in the Financial Crime Analytics and Data Science team.

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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