Negotiable
Inside
Hybrid
Hybrid-remote in London
Summary: The Senior Data Engineer role at Whitehall Resources involves designing and optimizing scalable data solutions in a hybrid working environment, with three days on-site in Hounslow. This position requires collaboration with various teams to enhance decision-making and customer experiences through modern cloud-based technologies. The role is initially for a three-month contract and is classified as inside IR35.
Key Responsibilities:
- Design, build and maintain robust data pipelines that support critical business applications and analytics
- Analyze, re-engineer and modernize existing ETL processes from legacy systems into scalable cloud-native solutions
- Contribute to the development and optimization of a cloud-based data platform, leveraging tools like Snowflake, AWS, and Airflow
- Work closely with data architects, analysts, and other engineers to deliver high-quality, production-ready code
- Participate in code reviews, ensuring adherence to best practices and high engineering standards
- Investigate data quality issues and implement monitoring and alerting systems to ensure pipeline reliability
- Document workflows, data lineage, and technical designs to support maintainability and knowledge sharing
- Champion a culture of continuous improvement, experimentation, and technical excellence within the team
Key Skills:
- Strong hands-on experience with data engineering in both on-prem and cloud-based environments
- Good working knowledge and hands-on experience with Teradata and Informatica
- Proficiency in working with legacy systems and traditional ETL workflows
- Solid experience building data pipelines using modern tools (Airflow, DBT, Glue, etc.) and working with large volumes of structured and semi-structured data
- Demonstrated experience with SQL and Python for data manipulation, pipeline development, and workflow orchestration
- Strong grasp of data modeling, data warehousing concepts, and performance optimization techniques
- Hands-on exposure to cloud platforms, especially AWS
- Experience working in agile teams and using version control and CI/CD practices
Salary (Rate): undetermined
City: London
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: inside IR35
Seniority Level: undetermined
Industry: IT
Senior Data Engineer
Whitehall Resources are looking for a Senior Data Engineer. This role is hybrid working with 3 days per week on site in Hounslow, and the remainder remote working, for an initial 3 month contract.
***Inside IR35***
Job Description:
As a senior data engineer, you’ll play a critical role in building and optimizing modern, scalable data solutions that enable smarter decision-making, richer customer experiences and operational excellence. You’ll be a part of a highly collaborative network of teams working with cutting edge cloud-based technologies whilst also navigating complex legacy ‘on-premise’ environments .
Your responsibilities:
* Design, build and maintain robust data pipelines that support critical business applications and analytics
* Analyze, re-engineer and modernize existing ETL processes from legacy systems into scalable cloud-native solutions
* Contribute to the development and optimization of a cloud-based data platform, leveraging tools like snowflake, AWS and airflow
* Work closely with data architects, analysts and other engineers to deliver high-quality, production-ready code
* Participate in code reviews, ensuring adherence to best practices and high engineering standards
* Investigate data quality issues and implement monitoring and alterting systems to ensure pipeline reliability
* Document workflows, data lineage and technical designs to support maintainability and knowledge sharing
* Champion a culture of continuous improvement, experimentation and technical excellence within the team
Essential skills and experience:
* Strong hands-on experience with data engineering in both on-prem and cloud-based environments
* Good working knowledge and hands on experience working with Teradata and Infomatica.
* Proficiency in working with legacy systems and traditional ETL workflows
* Solid experience building data pipelines using modern tools (Airflow, DBT, Glue etc.) and working with large volumes of structures and semi-structured data
* Demonstrated experience with SQL and Python for data manipulation, pipeline development and workflow orchestration
* Strong grasp of data modelling, data warehousing concepts and performance optimization techniques
* Hands-on exposure to cloud platforms, especially AWS
* Experience working in agile teams and using version control and CI/CD practices
Desirable skills and experience:
* Experience with Snowflake or other cloud-native data warehouse technologies
* Familiarity with GraphQL and its use in data-driven APIs
* Exposure to data governance, data quality and metadata management tools
* Interest or experience in applying machine learning / AI pipelines or features within a data engineering context
* Understanding of DevOps conceps as applied to data (DataOps) and infrastructure-as-code tools like Teraform or Cloudformation
* Previous experience in highly regulated industries or large-scale, enterprise-grade environments
All of our opportunities require that applicants are eligible to work in the specified country/location, unless otherwise stated in the job description.
Whitehall Resources are an equal opportunities employer who value a diverse and inclusive working environment. All qualified applicants will receive consideration for employment without regard to race, religion, gender identity or expression, sexual orientation, national origin, pregnancy, disability, age, veteran status, or other characteristics.