Data Analytics Engineer

呗; London; Hybrid; GBP 80,000 - 120,000; Full time

Job summary

A leading global asset management company in Central London is looking for a Data Analytics Engineer to join their expanding team. This hybrid role offers a competitive salary of up to £120,000 plus a substantial bonus. You will focus on enhancing data practices and governance within a dynamic work environment.

Benefits

40% Annual Bonus

Top class healthcare

Non-contributory pension

Onsite gym

Career progression opportunities

Learning and development opportunities

Qualifications

• 4+ years in a data specialist role, preferably in finance.
• 2:1 or above from Russell Group University.

Responsibilities

• Implement data automation tasks.
• Develop a pragmatic data governance methodology.
• Analyze diverse data sets across multiple asset classes.

Skills

Python

SQL

Data wrangling

Data cleaning

Data architecture

Education

Degree in Mathematics, Statistics, Physics, Computer Science or similar

Job description

Role: Data Analytics Engineer

Salary: £80,000 - £120,000 DOE + 40% Annual Bonus

Location: Central London (Hybrid)

Full Time, Perm

We have partnered with a global asset management company based in Central London with an asset under management value of 17 billion. They’re looking to expand their Data Team by recruiting a Data Engineer who will be responsible for expanding the expertise within the data engineering team. The company is currently looking to design and implement enhancements to their data practices, data policies and data platforms.

The position is hybrid with their office based in Central London. The salary for this position is up to £120,000 plus 40% bonus, top class healthcare, non-contributory pension, onsite gym along with excellent career progression, learning & development opportunities.

Responsibilities

• Analysis and implementation of data automation tasks
• Implementation of pragmatic data governance methodology
• Analyse a wide variety of data sets across multiple asset classes

Requirements

• Strong Python experience
• Strong SQL experience
• 2:1 or above in Mathematics, Statistics, Physics, Computer Science or similar from Russell Group University
• 4 plus years’ of experience in a data specialist role with demonstrable financial industry knowledge
• Data engineering (data wrangling, data cleaning, data architecture) experience

If you’re interested, apply today!!