SK IT SOLUTIONS LTD
URGENT HIRING – DATA ENGINEER | UK
TW8 9DW
Key information
- Pay
- £35,000 to £55,000 a year
- Hours
- Full-time
- Contract
- Permanent
- Workplace arrangement
- Hybrid - 2 days remote
- Posted date
- 2 Oct 2026
- Closing date
- 1 Nov 2026
About this role
SKIT is currently looking for an experienced Data Engineer to join an exciting UK-based project. We are seeking a strong Data Engineer with hands-on expertise across Informatica, ETL, AWS Cloud, PySpark, Python, SQL and Data Modelling using Erwin.
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Position
Data Engineer
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Location
London, UK Hybrid
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Start
Immediate / ASAP
Role Overview
The successful candidate will be responsible for designing, developing and maintaining scalable data pipelines and data-processing solutions across cloud and enterprise environments.
The role requires strong technical expertise in Informatica, ETL/ELT, AWS, AWS EMR, PySpark, Python, SQL and Erwin Data Modeler, alongside experience in data analysis, mapping and design.
Key Responsibilities
Informatica & ETL
- Design, develop and maintain scalable ETL/ELT pipelines using Informatica.
- Extract, transform and load data from multiple source systems.
- Monitor and troubleshoot ETL workflows and resolve data-processing issues.
- Maintain high standards of data quality, accuracy and reliability.
AWS Cloud & Data Engineering
- Build and maintain cloud-based data pipelines within AWS environments.
- Work with AWS EMR and distributed data-processing technologies.
- Develop scalable cloud data-processing solutions.
- Optimise data workloads for performance and scalability.
PySpark, Python & SQL
- Develop data-processing and transformation jobs using PySpark and Python.
- Write and optimise complex SQL queries.
- Perform large-scale data manipulation, transformation and validation.
- Troubleshoot and optimise data-processing workflows.
Data Modelling – Erwin
- Create and maintain conceptual, logical and physical data models using Erwin Data Modeler.
- Define data structures, relationships and mappings.
- Support database and enterprise data-modelling activities.
- Maintain accurate data models and technical documentation.
Data Analysis, Mapping & Design
- Analyse source and target data requirements.
- Create detailed source-to-target mappings and transformation rules.
- Support data architecture and integration requirements.
- Ensure consistency and quality across data models and pipelines.