Skip to content

This website works best using cookies which are currently disabled.Cookie policy  Allow cookies
JobServe
 

Job Application

 
 
 

Please answer the following questions in order to process your application.

 
 
Email Address *
 
Select your working status in the UK *
 
 
 
File Attachments:
(2MB file maximum. doc, docx, pdf, rtf or txt files only)
 
Attach a CV * 
 
Optional covering letter 
OR
Clear covering letter
 
 
 * denotes required field
 
 
 
Additional Information:
 
First Name
 
Last Name
 
Address
 
Country
 
Home Telephone
 
Mobile/Cell
 
Availability/Notice
 
Salary Expectation GBP
 
Approximately how far are you willing to travel to work (in miles) ?
 
 
 

Key Privacy Information

When you apply for a job, JobServe will collect the information you provide in the application and disclose it to the advertiser of the job.

If the advertiser wishes to contact you they have agreed to use your information following data protection law.

JobServe will keep a copy of the application for 90 days.

More information about our Privacy Policy.

 
 

Job Details

 

*Data Engineer - £60K-£75K - London* (Permanent)

Location: London Country: UK Rate: £60k-£75k per annum
 

*Data Engineer - London - £50-75k*

My client is looking for a dynamic Data Engineer to join their growing team of analytics experts. You will be responsible for shaping and developing the data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up.

You will support our software developers, devops, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple users, systems and products.

Key responsibilities will include:

  • Create and maintain optimal data pipeline and ETL architecture.
  • Assemble large, complex data sets that meet functional/non-functional business requirements.
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Google BigQuery and AWS 'big data' technologies.
  • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
  • Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
  • Keep our data separated and secure across national boundaries through multiple cloud platforms.
  • Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader
  • Work with data and analytics experts to strive for greater functionality in our data systems.

Requirements:

  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
  • Experience building and optimizing 'big data' data pipelines, architectures and data sets.
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
  • Strong analytic skills related to working with unstructured datasets.
  • Build processes supporting data transformation, data structures, metadata, dependency and workload management
  • A successful history of manipulating, processing and extracting value from large disconnected datasets.
  • Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores.
  • Strong project management and organizational skills.
  • Experience supporting and working with cross-functional teams in a dynamic environment.
  • We are looking for a candidate with a minimum of 3 years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field It would be preferable to have the following software/tools:
  • Experience with big data tools such as: Hadoop, Snowflake, Spark, Kafka, etc.
  • Experience with relational SQL and NoSQL databases, such as Postgres, BigQuery, dynamoDB.
  • Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
  • Experience with AWS cloud services: EC2, S3, EMR, RDS, Redshift
  • Experience with stream-processing systems: Storm, Spark-Streaming, etc
  • Experience with object-oriented/object function Scripting languages: Python, Java, C++, Scala, etc.
  • Experience with BigQuery, Dataflow.

The right candidate will be excited by the prospect of designing our company's data architecture to support our next generation of products and data initiatives, whilst understanding the business objectives of the company.

If you have the above and are looking for an excellent Data Engineer position where you will be working with a highly collaborative team then PLEASE APPLY NOW FOR IMMEDIATE CONSIDERATION


Posted Date: 15 Jan 2020 Reference: JS-367920/001 Employment Agency: Harvey Nash IT Recruitment UK Contact: Faye Pauffley