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Data Engineer

Location: Edinburgh, .
Company Description:

Merkle | Aquila works to extract the maximum value from data to allow our clients to take more effective actions from analysis. We work with organisations to understand their challenges and then identify, structure and use the most relevant data to address their needs. Our expertise covers the full consumer lifecycle from acquisition through to retention. We firmly believe that the on and offline worlds have merged and that effective analysis should allow our clients to have a holistic view of the effectiveness of all of their channels. We have delivered projects involving both onsite and offsite analytical consultancy and delivery. Our goal is to be fully flexible to suit our client’s needs.. 

Job Description:

We’re looking for a Data Engineer to work on our Discovery product’s underlying infrastructure, security, automation and data architectures to refine existing capabilities and create new functionality.

As a Data Engineer you will:

  • Write well-structured, beautiful, clean code
  • Design and build analytical systems and applications
  • Design smart ways of storing and displaying complex data
  • Build configurable statistical models in Scala to run on an Apache Spark processing engine
  • Support our automated testing team test the quality of your contributions
  • Care about your craft, be aware of new technologies and be keen to review and explore them when appropriate
  • Feed your opinions, backed by data and investigation, to the wider team
  • Create documentation and tutorials to be used by team members and externally
  • Have a deep understanding of modern platform architecture
  • Be an active contributing part of an agile team
  • Define your career path and be given the opportunity to grow and learn

You need to be skilled at:

  • Distributed computing, networking, security and infrastructure; its advantages and disadvantages in modelling and analytical applications
  • Writing great code
  • Cloud computing (AWS, Azure or GCP – ideally AWS) and its security, automation and manageability
  • Excellent knowledge of Unix scripting and one of R, Python, Java or Scala
  • Application architecture; version control
  • Relational and non-relational databases and when to use them
  • Container Orchestration Systems such as Kubernetes

Technologies we’re using that you will be expected to use too:

  •   Ubuntu server, shell scripting
  •   Kubernetes and Docker
  •   PostgreSQL
  •   Apache Spark (Scala, SQL)
  •   Scala and occasionally R or Python
  •   SBT + Maven
  •   AWS services including EC2, S3, IAM, ECR and CloudFormation
  •   Scala, Spark MLLib, Java, R, Python
  •   Bitbucket and Docker Hub

As member of Engineering, you will benefit from:

  • Competitive salary; 28 day’s holiday plus bank holidays
  • Eligibility for company pension scheme & company life assurance scheme
Qualifications:
Additional Information:

Merkle does not discriminate against job applicants on the basis of age, disability, gender reassignment, marital or civil partner status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief, sex or sexual orientation. Experience stipulated in this job description serves as a guide only and all applications will be considered on their merits, irrespective of experience. At the point of application, the candidate must have the legal right to work in the UK as we are unable to sponsor visas at this time.

As part of our Diversity and Inclusion agenda, and as an Equal Opportunities employer, if you require reasonable adjustments during the selection process please engage directly with your Recruiter.

More Information:

Graduate Opportunities: Whether you're still studying, recently graduated or are already working and fancy a career hop, we could have a perfect opportunity for you.
Experienced Hires: Leverage your expertise, challenge the status quo and grow your career at Merkle.

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