• Location: England, London
  • Salary: £45000 - £55000 per annum
  • Technology: AWS Big Data Jobs
  • Job Type: Permanent
  • Date Posted: 15th May, 2020
  • Reference: 150520ATJFI_1589553773
Data Engineer

Central London

Job Description

A Data-driven company based in Central London are looking for a Mid-level Data Engineer with approximately 2 years of experience to join their team and work on projects within the Financial Services sector.

These projects utilise multi-cloud technologies, and so experience with any of the 3 major Cloud platforms would be most desirable.

As a company, they have been going from strength to strength, ahead of their competitors by introducing all of the latest and most in demand technology available on the market, covering both Cloud and Big Data/Analytics technologies.

Role & Responsibilities


Engaging with Clients to discuss solutions

ETL, ELT, Modelling, Warehousing

Utilising your Cloud and Big Data expertise

Contribute to the development and architecture for projects

Skills & Qualifications


Experience in languages like Python, Scala, Java or SQL

Cloud experience (AWS , GCP, AZURE)

Data technologies: Kafka, Hadoop

Bonus points for the following (Snowflake, Databricks, BigQuery)

Solid experience with Development

Good experience with Engineering (Data/Software/Cloud)



Salary £45,000 - £50,000

Access to Training Tools

Learning and Development programmes

Clearly defined roadmap for progression

Company wide benefits

Pension Scheme

For more information, please contact ALEX at Jefferson Frank

Tel: 0191 814 7445

Email: a.todd@jeffersonfrank.com

Linkedin: linkedin.com/in/alex-todd-25a072105/

Jefferson Frank is the AWS recruitment agency of choice. Whether it's a contract, permanent or remote position, we find great people great jobs.

We are the larget AWS staffing firm across the globe, with offices in over 20 Cities across all the world, specialising in AWS technologies across Big Data, Analytics, Development and DevOps

kafka, spark, snowflake, databricks, aws, gcp, python, scala, bigquery, data engineer, big data, analytics, azure, redshift, datafactory,