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Data Engineer

Ripjar

Bristol

Remote

GBP 40,000 - 60,000

Full time

Today

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Job summary

A leading software company in the UK is seeking a Data Engineer to join their team. The role involves working with data processing systems and contributing to the Data Collection Hub. Ideal candidates will have experience in Python and data engineering technologies. The position offers opportunities for growth and a collaborative work environment, focusing on innovative solutions to prevent financial crimes.

Benefits

25 days annual leave + birthday off

Remote working

Private Family Healthcare

Employee Assistance Programme

Company contributions to pension

Enhanced maternity/paternity pay

Latest tech including MacBook Pro

Qualifications

At least 2 years experience in data processing systems.
Fluency in at least one programming language.

Responsibilities

Contributing production quality code and unit-tests.
Improving test and build pipelines.
Supporting data processing pipelines.

Skills

Python

Node.js

Data Processing

Education

Numerate Degree

Tools

Hadoop

MongoDB

Elasticsearch

Airflow

Nifi

Ansible

3 weeks ago Be among the first 25 applicants

About Ripjar

Ripjar is a UK based software company that uses data and machine learning technologies to help companies and governments prevent financial crimes and terrorism. For example, our software was helping many financial institutions and corporations comply with the recent addition of sanctions on Russian entities.

Ripjar originally span out from GCHQ and now has 130 staff based in Cheltenham and remotely and are beginning to expand globally. We have two successful, inter-related products; Labyrinth Screening and Labyrinth Intelligence. Labyrinth Screening allows companies to monitor their customers or suppliers for entities that they aren't allowed to or do not want to do business with (for ethical or environmental reasons). Labyrinth Intelligence empowers organisation to perform deep investigations into varied datasets to find interesting patterns and relationships.

Data infuses everything Ripjar does. We work with a wide variety of datasets of all scales, including an always-growing archive of 8 billion news articles in (nearly!) every language in the world going back over 30 years, sanctions and watchlist data provided by governments, 250 million organisations and ownership data from global corporate registries.

About The Role

Ripjar has several engineering teams that are responsible for the processing infrastructure and many of the analytics that collect, organise, enrich and distribute this data. Central to almost all of Ripjar's systems is the Data Collection Hub, which captures data from various sources, processes and analyses it, and then forwards it on to multiple end-user applications. The system is developed and maintained by 3 teams of software engineers, data engineers, and data scientists.

We are looking for an individual with a least 2 years industrial or commercial experience in data processing systems to come in and add to this team. Ripjar values engineers who are thoughtful and thorough problem solvers who are able to learn new technologies, ideas and paradigms quickly.

Technology Stack

The specific technical skills you possess aren't as important to us as the ability to understand complex systems and get to the heart of problems. We do, however, expect you to be fluent in at least one programming language, have at least two years experience working with moderately complex software systems in production and have a curiosity and interest in learning more.

In this role, you will be using python (specifically pyspark) and Node.js for processing data, backed by various Hadoop stack technologies such as HDFS and HBase. MongoDB and Elasticsearch are used for indexing smaller datasets. Airflow & Nifi are used to co-ordinate the processing of data, while Jenkins, Jira, Confluence and Github are used as support tools. We use ansible to manage configuration and deployments. Most developers use Macbooks for development and our servers all run the CentOS flavour of Linux.

If you have any experience in this tech stack, that's useful, as is a numerate degree, such as Computer Science, but neither are required for the role.

Responsibilities:

Contributing production quality code and unit-tests to our Data Collection Hub
Contributing improvements to the test and build pipelines
Considering the impact and implications of changes and communicating these clearly
Helping to support the data processing pipelines as needed
Modelling data in the best way for specific business needs
Staying abreast of the latest developments in Data Engineering to contribute to Ripjar's best practices
Adding to Ripjar's culture and make it a fun and rewarding place to work!

Requirements:

The specific technical skills you possess aren't as important to us as the ability to understand complex systems and get to the heart of problems. We do, however, expect you to be fluent in at least one programming language, have at least two years experience working with moderately complex software systems in production and have a curiosity and interest in learning more.

You will be using Python (specifically pyspark) and Node.js for processing data
You will be using Hadoop stack technologies such as HDFS and HBase
Experience using MongoDB and Elasticsearch for indexing smaller datasets would be beneficial
Experience using Airflow & Nifi to co-ordinate the processing of data would be beneficial
You will be using Ansible to manage configuration and deployments

Salary And Benefits

Salary DOE
25 days annual leave + your birthday off, in addition to bank holidays, rising to 30 days after 5 years of service
Remote working
Private Family Healthcare
Employee Assistance Programme
Company contributions to your pension
Pension salary sacrifice
Enhanced maternity/paternity pay
The latest tech including a top of the range MacBook Pro

Seniority level

Seniority level
Entry level

Employment type

Employment type
Full-time

Job function

Industries
IT Services and IT Consulting

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