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Business Intelligence - Data Engineer - Systematic Hede Fund - $225k - $325k Comp

  • location

    London

  • sector:

    Data

  • job type:

    Permanent

  • salary:

    $225,000 - $325,000

  • Contact:

    Jack Foster

  • Email:

    jack.foster@orbisconsultants.com

  • published:

    6 months ago

  • expiry date:

    2020-02-12

Business Intelligence- Data Engineer| Systematic Hede Fund | $225k - $325k Comp

◼️ ARE LOOKING TO BE REWARDED FOR BEING IN THE MOST ADVANCED TECH ENVIRONMENT?

◼️ DO YOU WANT TO YOUR WORK TO BE MORE MEANINGFUL?

 

Company

A notorious hedge fund that were the early innovators within high frequency trading. The fund is very much a tech-centric investment management that adopts an agressive learning culture, fast -paced project work and an  environment surrounded by pioneers within every field. 

Most employees have come from prestigous hedge funds, Google, Facebook, Snapchat and Microsoft. 

 

Team: 

You will be embedded within a team that is working across the companies core PnL Team working on unique streamling, new developments cuttin g edge cloud technologies. You will be working on a platform used by every trade desk internally and have your own creative license to contribute to the strategy and vision. 


 

RESPONSIBILITIES

  • You will WORK WITH sTAKEHOLDERS TO UNDERSTAND PROJECT GOALS
  • Design prototypes for Visualization
  • Identify best data visualizations and locate user friendly solutions
  • Build an innovative PnL System, accounting system and create solutions to help infrastucture. 
  •  

REQUIREMENTS

  • Extensive experience with Microsoft BI Stack  (SQL Server, SSAS, SSIS, Power BI), specifically developing Analysis Services Tabular model.
  • 10+ years of relevant experience with data engineering, data management and data warehousing. 
  • Advanced experience with Power BI ,Tableau, or Qlikview
  • 5+ years experience within ETL design, implementation and maintenance.
  • Proficient within  DAX and T-SQL
  • Experience in financial industry a plus.
  • Exposure within Hadoop, Airflow Spark, Kubernetes
  • Experience with pipeline systems , ETL tools, data conversion and ability to work across rapidly changing datasets.
  • Experience with large un/structured data sets strongly preferred.

 

NICE TO HAVE

  • Exposure within Cloud 
  • Experience Working with high performing Data Engineering teams.
  • PowerBI: Create and upgrade Power BI reports
  • Construct REST interface 
  • SSRS: Create and upgrade SSRS reports 
  • Experience in Python

 

BE PART OF A DATA-CENTRIC THRIVING HEDGE FUND

 

 Hit the apply button on the right or apply to jack.foster@orbisconsultants.com

 

SQL Server, SSAS, SSIS, Power BI, Power BI, Python, REST, SSAS, SSRS, Tableau, Qilkview, Microsoft BI,