Data Engineer - Liverpool, United Kingdom - The Candidate Ltd

The Candidate Ltd

Verified Company

Liverpool, United Kingdom

1 week ago

Posted by:

Tom O´Connor

beBee Recruiter

Description

Now's your chance to work for one of the largest privately owned companies in the UK as their Data Engineer

Data Engineer - Liverpool (Remote Working) - Up to £52,000 - Retail

As a Data Engineer, you will be a valued member of their Data Science and Insights team, which sits within the wider Digital department.

They are a small but flexible team, so you will have the opportunity to have considerable influence over the directionof data engineering workstreams and strategy, with ample room for innovation.

Working alongside their Data Scientists, Analysts and Data Visualisation Engineers, you will be responsible for data model development and operations across their technology stack, ensuring that data flows consistently from their business operations to theteams that need it most.

Day-to-day, you will work with colleagues to design and implement the infrastructure needed to collect, transform, clean and organise data from across the organisation.

You will create the data products that sit at the heart of their data led strategy, deliveringinsights and underpinning their ML & AI ambition.

Why work here?

They're cash rich, very stable, and recession proof one of the largest privately owned company in the UK, with 580 stores and a £3 billion annual turnover
Finalising a totally new ecommerce site, built totally serverless and infinitely scalable (served from the edge) it will be one of the first sites to do it at scale and one of the fastest websites on the internet keen to invest time in the right tech
Privately owned business, meaning they don't have to report to the powers that be who have no visibility on the actual business operation, no red tape, and to bureaucracy
Big company with small company mentality: can do big things like build a new £400mil warehouse, but also a lean team so everyone can have a voice on projects
Remote first, with very occasional voluntary travel to the Liverpool office (think once a quarter)

This role would suit someone who:

Would relish the opportunity to work on cutting edge projects with world leading software
Wants to feel part of something bigger, have a say, and not be micromanaged
Enjoys flexibility, trust and autonomy
Wants to be able to build a long term career, growing and progressing with a team of likeminded people (their retention rate is insane because everyone is challenged, fulfilled and happy)

Responsibilities
Build and Maintain Data Feeds

As a Data Engineer, your primary responsibility is to build and maintain the data feeds that underpin the work of the Data Science and Insights team
You will be responsible for the entire endtoend of data provisioning, from identification and scoping through design, implementation, testing and ongoing management
You will need to employ engineering best practices to create data feeds that are robust, scalable and efficient

Data Warehouse Management

The core of their data platform is a modern, scalable cloud data warehouse, from which they develop and deploy data products for use across the business
You will play a leading role, alongside your IT colleagues, in the management and further development of this critical infrastructure

Data Stewardship

The quality of their data assets is essential to their adoption and value generation. You will play a key role in ensuring data quality through the development of automated data validation and cleansing processes. Maintaining effective documentation isessential for usability of data assets. Your role will include documentation of data schemas, data lineage and transformation
Monitoring data flows, job orchestration and patches/releases as necessary

About you:

Strong knowledge of data warehousing solutions, ETL/ELT processes and data quality issues Excellent SQL skills
Proficiency in Python
Experience in core software engineering practices, e.g. development lifecycle, Git version control, continuous integration etc.
Experience with cloud computing
Previous experience working as part of a data team
Experience with distributed frameworks and containers