Decision Inc.

Senior Data Eng- UK

Rol remoto de Senior Data Engineer con fit claro de ubicación del candidato.

Publicado18 jul 2026

Países elegibles1 país aceptado

Señal de senioritySenior

Modelo de trabajoRemoto

Ubicaciones aceptadas para candidatos

Sudáfrica

Resumen del rol

Contenido del rol extraído en secciones para revisar más rápido.

You will be assigned a portfolio of project to:
Engage with clients to conceptualize data solutions
Modernizing existing data environment
Assisting our sales team with Pre-Sales and POC's
Create and maintain optimal data pipeline architecture,
Assemble large, complex data sets that meet functional / non-functional business requirements.
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Microsoft, Azure, AWS, GCP, technologies etc. .
Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
Work with data and analytics experts to strive for greater functionality in our data systems.
Assists support desk where applicable

Minimum 5 years of working experience in data engineering.
Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
Experience building and optimizing data pipelines, architectures, and data structures utilizing Microsoft technologies.
Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
Strong analytic skills related to working with unstructured datasets.
Familiarity with data visualization in Microsoft Power BI.
Build processes supporting data transformation, data structures, metadata, dependency and workload management.
A successful history of manipulating, processing and extracting value from large, disconnected datasets.
Strong project management and organizational skills.
Experience supporting and working with cross-functional teams in a dynamic environment.
Familiarity with Finance concepts and data is advantageous