Data Lakehouse Developer, ZILO

Salary not provided

SQL

MongoDB

AWS

Python

Java

Postgres

Hadoop

MySQL

Redshift

Spark

Mid and Senior level

London

1+ day a week in office

Software for transfer agencies

Open for applications

Software for transfer agencies

101-200 employees

FintechB2BArtificial IntelligenceComplianceInvestingSaaSData Analysis

Open for applications

Salary not provided

SQL

MongoDB

AWS

Python

Java

Postgres

Hadoop

MySQL

Redshift

Spark

Mid and Senior level

London

1+ day a week in office

101-200 employees

FintechB2BArtificial IntelligenceComplianceInvestingSaaSData Analysis

Company mission

To innovate and deliver transformative software solutions.

Job

Company

Role

Who you are

The ideal candidate should be experienced in designing and building data pipelines, performing ETL operations, and managing databases
The candidate will also need to have knowledge and experience in using AWS services for data processing, storage, and analysis
Bachelor's degree in computer science, engineering or related field
Minimum of 3 years of experience in data engineering roles
Strong proficiency in SQL, ETL processes and database management systems (e.g.,MySQL, PostgreSQL, MongoDB)
Hands-on experience with AWS services for data processing, storage and analysis(e.g., S3, Redshift, EMR, Glue)
Familiarity with programming languages such as Python or Java
Understanding of data warehousing concepts and data modeling techniques
Experience working with big data technologies (e.g., Hadoop, Spark) is an advantage
Excellent problem-solving and analytical skills
Strong communication and collaboration skills

What the job involves

We are seeking a skilled Data Engineer – Data Lakehouse to join our team
Design, build and maintain efficient and scalable data pipelines to support data processing and analysis
Develop and implement ETL processes to ensure data quality and integrity
Manage and optimize databases, including designing schema and indexing strategies,data partitioning and data archival
Work closely with data scientists and business analysts to understand datarequirements and translate them into technical solutions
Collaborate with DevOps and IT teams to deploy, monitor and troubleshoot datasystems
Develop and maintain documentation on data infrastructure and processes
Stay current with the latest data engineering technologies, tools and practices

Salary benchmarks

Our take

Transfer agencies are organisations that manage the change in ownership of a company, keeping record of who owns their stocks and bonds. ZILO supplies software for these agencies to optimise their operations, delivered in an all-in-one package.

Designed to replace legacy record-keeping systems, ZILO's platform covers all aspects of a transfer agency's day-to-day, from registry to reconciliation to reporting. By integrating all these needs, it boasts the ability to replace disparate alternatives, which should make it a valuable option in the space.

Highlighting this potential is a $27M Series A funding round obtained in 2024, co-led by FISV and Portage. With this fresh investment, ZILO is ready to accelerate product development, expand into new markets and pursue strategic partnerships through which it hopes to broaden its offering.

Kirsty

Company Specialist at Welcome to the Jungle

Company

Funding (last 2 of 3 rounds)

Jan 2024

$34.2m

SERIES A

Oct 2022

$6.1m

SEED

Total funding: $46.5m

Company HQ

Canary Wharf, London, UK

Leadership

Philip Goffin

(Founder, President & CEO)

Co-Founder at Kana Earth, and Co-Founder and Investor at The Big Exchange. Founded and was Chairman of the Board at Ziglu. Also co-founded and was Managing Director at Calastone.

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