Data Analytics Engineer

TW; City Of London; Hybrid; GBP 80,000 - 120,000; Full time

Job summary

A global asset management company based in Central London is seeking a Data Analytics Engineer to enhance their data practices and platforms. The ideal candidate will have strong Python and SQL experience, a degree from a Russell Group University, and at least 4 years in a data role within the financial industry. This position offers a salary of up to £120,000, a 40% annual bonus, and excellent benefits including top-class healthcare and onsite gym facilities.

Benefits

40% Annual Bonus

Top-class healthcare

Non-contributory pension

Onsite gym

Excellent career progression

Learning & development opportunities

Qualifications

• 4+ years of experience in a data specialist role with demonstrable financial industry knowledge.

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.

Skills

Python experience

SQL experience

Data wrangling

Data cleaning

Data architecture

Education

2:1 or above in Mathematics, Statistics, Physics, Computer Science or similar from Russell Group University

Job description

Overview

Role: Data Analytics Engineer

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

Location: Central London (Hybrid)

Contract: 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!!