Data Engineer building and maintaining enterprise data platforms: designing data storage, ingestion pipelines, and transformations using Microsoft Azure, Azure Databricks, SQL, and Python (PySpark), plus testing, automation, and platform governance in an on-site Makati City role.

Analytics Azure Business Intelligence Cloud Data Analytics +16 skills

120K – 130K PHP / mo

Private Advertiser

4 weeks ago

Data Engineer – Databricks | Taguig City

APAC

Philippines

An experienced Data Engineer designs, builds, and maintains Databricks-based data pipelines and ETL processes, monitors data quality, and serves as a Databricks subject matter expert. Core stack: Databricks (Unity Catalog, Delta Live Tables, Auto Loader), Python/PySpark, SQL, and Azure Data Factory.

Accessibility Analytics Azure Azure Data Factory Corrective Action +13 skills

Arthur Recruitment

4 weeks ago

Data Engineer - Azure, DataBricks, PySpark

United Kingdom

A Data Engineer joins a growing Data & Analytics function at a London Market insurer, designing and maintaining cloud data pipelines on Azure Data Factory and Databricks using SQL, Python and PySpark to support Underwriting, Finance and Operations. Hybrid role in London paying up to £65,000 plus 10% bonus.

Agile Analytics Azure Azure Data Factory CI/CD +13 skills

up to 65K £

Datatech Analytics

4 weeks ago

Data Engineer - AWS, Spark & AI

HybridUK

United Kingdom

Overview In this Data Engineer role, you will design and optimize scalable data pipelines and ETL/ELT processes for a fast-growing tech startup in London. You’ll leverage Python, SQL, Spark and AWS data services to…

AI Analytics AWS Data Engineering Data Pipelines +7 skills

UST

last month

Data Platform Engineer (Lead II - Data Engineering)

HybridUKContractLead

United Kingdom

Lead engineer role to design, build, and evolve an Azure- and Databricks-based cloud data platform, providing technical leadership and mentoring teams while driving Terraform-based IaC and DevOps practices in a hybrid Leeds (West Yorkshire) setting. Core tech: Azure, Databricks, Terraform, PySpark, Power BI, Power Automate.