The Data Engineer is a hands-on technical role responsible for designing, developing, and maintaining data pipelines within the IT department.
This role plays a crucial part in driving data-driven decision-making across the organisation, ensuring data availability, quality, and accessibility for various business needs.
The pipelines will be realised in a modern lake environment and the engineer will collaborate in cross-functional teams to gather requirements and develop the conceptual data models.
Our client based near Manchester is looking for a skilled Data Engineer to join their agile team.
In this role, you'll play a pivotal part in designing, building, and maintaining data pipelines, ensuring the integrity and availability of data for various stakeholders, including BI Teams, Analytics, and Data Scientists.
Responsibilities
Design, build, and automate data flow processes and ELTs to provide comprehensive data from business systems.
On behalf of our rapidly growing client based in Manchester, we are recruiting a talented Data Engineer.
You will join a small team that is looking to grow considerably over the next 18 months.
The Data Engineer will be responsible for the following
Bringing together our many sources of data to design, create and grow our data platforms and pipelines hosted in AWS, with influence over the technology stack used.
As a Data Engineer, you will help support our clients as they build a new data platform that aims to empower Data Analysts to provide better insights to Product Analysts, as well as empower Data Scientists to run experiments in a more efficient and trusted data environment.
On behalf of our leading client based in Manchester, we are recruiting for an Data Engineer.
As a Data Engineer, you will be crucial in designing, building, and maintaining their data infrastructure.
An award winning financial business based in Cheshire are currently on the lookout for a Data Engineer to join the team as they look to further build out their data team.
You will collaborate with their Data and Insight Lead and other stakeholders to ensure data accessibility and quality, optimizing data flow and collection to support data-driven decision-making across all departments.