Job Title – Data Engineer
Job Type: Permanent, Full Time
Location: Hounslow, Greater London, UK/Hybrid
Advert Start Date: 31st August 2026
Advert Closing Date: 30th September 2026
Annual Salary: £36,000 to £42,000 Depending on experience
Hours: 37.5 Hours per Week (Monday to Friday)
Job Reference Number: RTL31072026
Job Description:
Reyan Technologies Ltd is looking for a skilled Data Engineer to join our team and support the design, development, and maintenance of data solutions that enable business insights. As a Data Engineer, you will be responsible for developing and maintaining ETL/ELT processes, cleansing and validating data, optimizing SQL queries, and building reliable data pipelines. You will work closely with developers, analysts, and business stakeholders to deliver scalable and high-quality data solutions while contributing new ideas to improve existing processes.
Job Role and Responsibilities:
· Build, maintain, and support data pipelines using Azure Data Factory and Snowflake.
· Develop and maintain ETL/ELT processes for integrating data from multiple source systems.
· Design and maintain data warehouse structures using star and snowflake schemas.
· Write, review, and optimise SQL queries, stored procedures, views, and functions.
· Perform data cleansing, validation, reconciliation, and quality checks to ensure accurate reporting.
· Support data migration, transformation, and integration activities across cloud and on-premises environments.
· Develop and maintain Azure Data Factory pipelines for data ingestion and transformation.
· Work with Azure Data Lake Storage, Azure SQL Database, and Azure Databricks to support data processing requirements.
· Assist in developing Spark-based data processing solutions where required.
· Collaborate with Business Analysts, Developers, and QA teams to understand business requirements and deliver data solutions.
· Support reporting and analytics teams by preparing reliable datasets for Power BI and other reporting tools.
· Monitor ETL jobs, troubleshoot failures, and optimise pipeline performance.
· Participate in Agile/Scrum ceremonies including sprint planning, stand-ups, reviews, and retrospectives.
· Contribute ideas for improving data engineering processes and automation.
Required Skills and Experience:
· Master’s degree in computer science (mandatory).
· 8+ years of experience in Data Engineering, Data Analysis, BI Development, or a similar data-focused role.
· Experience working with Snowflake or other cloud-based data warehouse platforms.
· Strong expertise in SQL development, query optimisation, and data modelling.
· Experience designing, developing, and maintaining ETL/ELT pipelines.
· Hands-on experience with Microsoft Azure data services, including Azure Data Factory, Azure SQL Database, Azure Databricks, Azure Data Lake Storage, and Azure Synapse Analytics.
· Working knowledge of Apache Spark and distributed data processing.
· Strong proficiency in Python, SQL, and data transformation techniques.
· Good understanding of data warehousing concepts, including Star Schema and Snowflake Schema.
· Experience with cloud storage solutions and reporting tools such as Power BI.
· Knowledge of data validation, data quality, reconciliation, and performance optimisation techniques.
· Experience working with ETL tools such as SSIS and cloud-based data integration platforms.
· Experience with version control tools such as Git or SVN.
· Good stakeholder communication and collaboration skills with the ability to work effectively across technical and business teams.
· Experience working in Agile/Scrum development environments.
Desirable Skills:
· Exposure to Snowflake or other cloud data warehouse technologies.
· Knowledge of Azure AI or data analytics services.
· Experience developing interactive dashboards using Power BI.
· Familiarity with data migration and cloud transformation projects.
· Understanding of database performance tuning and query optimisation.
· Experience working with large and complex datasets.
· Ability to troubleshoot and resolve data-related issues efficiently.
· Willingness to learn and adopt new cloud technologies and data engineering tools.
· Strong attention to detail and commitment to data quality.
Pay: £36,000.00-£42,000.00 per year
Benefits:
- Free parking
- On-site parking
Education:
Experience:
- Data Engineering, Data Analysis, BI Development.: 8 years (required)
Work Location: In person
