Big Data and Analytics Engineer, London Stock Exchange

Salary not provided

SQL

AWS

GCP

Python

Scala

Java

Kafka

Postgres

Hadoop

Azure

Spark

Hive

Sagemaker

Oracle

Senior and Expert level

London

Office located in Canada Square, London

Stock exchange in the City of London

Be an early applicant

Stock exchange in the City of London

501-1000 employees

B2BMarketplaceTrading

Be an early applicant

Salary not provided

SQL

AWS

GCP

Python

Scala

Java

Kafka

Postgres

Hadoop

Azure

Spark

Hive

Sagemaker

Oracle

Senior and Expert level

London

Office located in Canada Square, London

501-1000 employees

B2BMarketplaceTrading

Company mission

To make things happen, out there in the real world, where it matters.

Job

Company

Role

Who you are

5-10 years experience in data and analytics
Bachelor’s or equivalent experience in computer science engineering, or a related field
Strong programming skills in languages such as Python, Java, or Scala. Hands-on experience with SQL, and data modelling
Proven understanding of ETL workflows within databases / warehouses such as Oracle, PostgreSQL, SQL Server etc
Proficiency with data tools (e.g. Databricks, Spark, Kafka, Hadoop, Presto) and cloud services (e.g. Azure, AWS, GCP)

Desirable

Experience with machine learning frameworks and tools such as Azure ML Studio, AWS SageMaker etc
Knowledge of real-time data processing and stream analytics like Azure Event Hubs or similar
Hands on experience with real-time analytical databases such as Clickhouse or Apache Druid/Pinot or similar

What the job involves

At native, we empower brands to meaningfully connect with students on campus—helping them drive awareness, engagement, and market share
Our advertiser audiences span local businesses, regional organisations, national brands, enterprise powerhouses, and specialist agencies
We are seeking a highly skilled and innovative Data and Analytics Engineer to join our team
In this role, you will be responsible for designing, building, and handling our data infrastructure and analytics solutions to enable data-driven decision-making across the organization
You will work on sophisticated datasets and collaborate with multi-functional teams to unlock insights and deliver actionable intelligence!
We are embarking on a journey to transform our data pipelines and platforms, with a strong emphasis on innovation
Design, develop, and optimise data pipelines, architectures, and data integration workflows
Build scalable and efficient data storage solutions, such as data lakes, warehouses, or cloud-based systems
Collaborate with data scientists and analysts to understand data requirements and deliver solutions
Develop and maintain ETL processes for ingesting, transforming, and loading data from diverse sources
Conduct advanced data analysis, modelling, and visualization to identify patterns and insights
Ensure data quality, reliability, and security across systems
Work with distributed computing frameworks (e.g. , Spark, Hive, Hadoop) to process and analyse large datasets

Salary benchmarks

Our take

The London Stock Exchange is one of the world’s oldest stock exchanges, with a history dating back over 300 years. It operates as a part of LSEG (London Stock Exchange Group), one of the world’s leading providers of financial markets infrastructure, as a marketplace to enable stock brokers and traders to buy and sell stocks, bonds, and other securities.

The London Stock Exchange has lived through a stream of innovations; from telegraph and telephone, to the Market Price Display System, automatic trade matching, and the digitisation of issuer services. In 2019 it acquired Refinitiv, a financial information company, and in doing so became a global financial news and data business.

Most recently, the London Stock Exchange has made moves to support the evolution of private markets, and further build its presence in this space. It partnered with Floww, a platform that connects investors with private companies, with aims to launch a private primary capital raising facility, as well as explore new technologies and secondary market options for the platform.

Steph

Company Specialist at Welcome to the Jungle

Insights

21% employee growth in 12 months

Glassdoor (3.9)

Company

Funding (2 rounds)

Dec 2019

$26.7m

LATE VC

Feb 2018

$26.7m

LATE VC

Total funding: $53.3m

Company benefits

Hybrid working options
Healthcare
Retirement planning
Paid volunteering days
Wellbeing initiatives

Company HQ

City of London, London, UK

Leadership

David Schwimmer

(CEO, not founder)

Was Managing Director at Goldman Sachs for 20 years.

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