Decision Inc.
Senior Data Eng- UK
Remote Senior Data Engineer role with clear candidate location fit.
PostedJul 18, 2026
Eligible countries1 accepted country
Seniority signalSenior
Work settingRemote
Accepted candidate locations
South Africa
Role overview
Senior Data Eng- UK
Requirements and responsibilities
Readable role content extracted into sections for faster review.
Key Responsibility:
- 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
Who do you need to be:
- 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
Technical skills:
- Power BI or Qlik or Tableau or SAC SQL
- Azure
- Python
- Fabric or Databricks (Lakehouse preferably) or SAP datasphere
- LLM & Python
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