Data Engineer

Oliver James Associates Limited

2 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Languages

English

Experience level

Intermediate

Job location

Remote

Tech stack

Amazon Web Services (AWS)

Software as a Service

Cloud Computing

Continuous Integration

ETL

Data Warehousing

Dimensional Modeling

Python

Power BI

SQL Databases

Tableau

Snowflake

Spark

Data Lake

Star Schema

Looker Analytics

Data Pipelines

Databricks

Job description

Design, build, and maintain data pipelines on AWS
Develop and optimise ETL/ELT workflows using Databricks
Work with large-scale, structured and unstructured datasets
Ensure data quality, reliability, and performance
Collaborate with data analysts, data scientists, and product teams
Support data modelling and analytics use cases for SaaS & CRM products
Participate in architecture discussions and continuous improvement initiatives

Requirements

Minimum 3 years of experience as a Data Engineer
Strong hands-on experience with AWS (e.g. S3, Glue, Redshift, Lambda, EMR, etc.)
Databricks experience is a must-have
Proficiency in Python and/or SQL
Experience building scalable data pipelines and cloud-based architectures
Good understanding of data warehousing and data lake concepts, * Knowledge of Apache Spark
Understanding of data modelling concepts (star schema, snowflake, dimensional modelling)
Experience with BI tools (e.g. Power BI, Tableau, Looker, or similar)
Experience with CI/CD for data pipelines

About the company

Our client is a fast-growing company specialised in SaaS and CRM solutions, supporting international clients with data-driven platforms and scalable cloud architectures. To strengthen their data team, they are looking for a skilled Data Engineer with strong AWS expertise and hands-on experience with Databricks.