Data Engineer (Mid Level)


Premium Job From Nigel Frank International

Recruiter

Nigel Frank International

Listed on

15th May 2020

Location

London

Salary/Rate

£45000 - £55000

Type

Permanent

Start Date

ASAP

This job has now expired please search on the home page to find live IT Jobs.

Data EngineerCentral London Job DescriptionA 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 & QualificationsExperience in languages like Python, Scala, Java or SQL Cloud experience (AWS , GCP, AZURE)Data technologies: Kafka, HadoopBonus points for the following (Snowflake, Databricks, BigQuery)Solid experience with DevelopmentGood experience with Engineering (Data/Software/Cloud) BenefitsSalary £45,000 - £50,000 Access to Training ToolsLearning and Development programmesClearly defined roadmap for progressionCompany wide benefitsPension Scheme For more information, please contact ALEX at Jefferson Frank Tel: 0191 814 7445Email: [email protected]: 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,

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