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6 months ago
Blue Pelican
Salary: £30000 - £40000 per annum + bonus, pension, health
Location: London
Job type: Permanent
Contact: Colin Doree
Sector: Marketing, Media/Telecoms/Entertainment
Category: CRM Jobs, Analysis Jobs

If you're keen to further your career in Data Engineering, and are looking for a business who can offer scope to enable you to grow and develop, with lots of exciting opportunities on the horizon, and the chance to diversify your skills into data science or BI in the future, have a read of what follows and see if this is something you'd be interested in exploring further.


Working for a data consultancy, this opportunity sits within their data analytics and insight functions. It's a team of around 10 people, made up of data scientists, data engineers and BI specialists.

The unit works together servicing the needs of some of the UK's biggest banks. Their remit is to provide actionable insight based on consumer transaction data. This means working with billions of lines of data a week across tens of millions of customers! So if you want scale, there's rarely another business who can trump this!

The work they carry out isn't just on behalf of the banks, but retailers too. As each bank offers a premium loyalty rewards programme. Giving things like cashback to customers, rewarding them for their loyalty.

Where this role come in is making sense of all that data.


As a Data Engineer, what you're going to be doing is getting dirty with all that lovely data.

Doing things such as:

  • Translating text strings of purchase data, writing algorithms which correctly identify and consolidate the data so customers get the correct rewards
  • Analysing the data to check for anomalies. Once identified, rooting out the problem then putting appropriate fixes in place, then checking it to ensure they work correctly
  • Proactively keeping abreast of any changes which might be coming down the line and can impact the accuracy of the data in how it's organised and stored. Correcting code where necessary to ensure it remains accurate and correct, so it can be easily mined and analysed by both the BI and data science teams
  • Managing and manipulating data structures, pro-actively looking for ways to improve it's value and use for the business by how it's stored, managed and organised

The principal foundation this information is based upon is Microsoft technologies. This means you will need to have a decent understanding of SQL, certainly doing things like coding join and split statements, creating stored procedures and running automated procedures.

On top of this, the firm is keen to engage with someone who's keen on broadening their horizons and has a curious nature. So ideally you would have exposure to coding in another language such as Python or R. As it stands the company is using Python more frequently for their work, so if you're keen to develop your skills using this tool, this opportunity will afford you that.


The company has stated although this role is principally looking for someone who's keen on taking on a position where the principal remit is Data Engineering aligned, because of the nature of the business unit, there will be opportunity in the future to develop skills within BI or Data Science. So if that's something you'd be keen on in the future, this role will certainly be worth your while exploring.

Role: Data Engineer - SQL - Big Data

Location: Central London

Salary: £30,000 to £40,000 (DoE)

Benefits: Bonus, pension, healthcare, life assurance

Experience Required:

  • Decent SQL skills - you're confident with join, split statements as well as Stored proceedures and running Automated Procedures in SQL
  • You've ideally had exposure to coding in another language like R or Python
  • Good analytical and problem-solving skills - e.g. checking data for anomalies, spotting mistakes or changes and correcting them - writing the appropriate code/algorithms to fix
  • Knowledge of data structures and comfortable with manipulating Big Data sets
  • Keen to progress your career in Big Data, and have some experience to working in a similarly large-scale data environment
  • Decent numerical background, preferably backed up by academics

**Must have the necessary visas to live and work in the UK**


For further information please

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