This job has expired

Senior Data Engineer

Anson McCade
Closing date
15 Sep 2021

View more

Technology & New Media
Contract Type
You need to sign in or create an account to save a job.
Senior Data Engineer

Quick Summary:

• We are looking for a Data Engineer to join a team responsible for a key product within the organisation.

• The Data Engineer will require 5+ years' experience in Data Engineering and Python.

• The successful Data Engineer will have fundamental and deep knowledge of data engineering techniques such as ETL, DWH, Data Lakes and MPP.

The Organisation:

You will be joining an enterprise intelligence company helping organisations make data-informed business decisions. They work with some of the biggest names in the tech space, such as Tesla, Uber and Deliveroo.

While maintaining a start-up feel, there is still the backing of a successful ecosystem. All work is currently remote, yet keeping to an exciting and fresh company culture.


• Building and optimising data pipelines (batch & streaming) for big data systems.

• Extracting, Analysing and Modelling of rich & diverse data sets.

• Applying Data mining to techniques such as anomaly detection, clustering, regression, classification, summarisation to extract value from our data sets.

• Ensuring data analysis is in line with company policies and regulations.

• Strong problem solving and the ability to communicate ideas effectively.

• Support Data Engineering Lead in setting Data Strategies and vision.

• Keep track of emerging technologies & trends in the Data Engineering world, incorporating modern tooling and best practices at Craft.

• Coach and mentor other Data Engineers by providing leadership and regular feedback.

• Work on extendable data processing system that allows to add and scale pipelines with low-code approach

• Constantly review performance, infrastructure and deliverables of other engineering teams to help them improve


• Show curiosity through asking questions, digging into to new technologies, and always trying to grow.

• 5+ years of experience in Data Engineering.

• 5+ years of experience with Python

• Knowledge and experience of Amazon Web Services (AWS).

• Experience using Terraform or other infrastructure-as-code tools.

• Self-starter, independent, likes to take initiative.

• Have fundamental and deep knowledge of data engineering techniques: ETL (Batch & Streaming), DWH, Data Lakes, MPP

• Data analytical and statistical background would be a large plus

For further information feel free to reach me at
You need to sign in or create an account to save a job.

Get job alerts

Create a job alert and receive personalised job recommendations straight to your inbox.

Create alert