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- Tasks: Design and maintain scalable data pipelines while modernising legacy ETL processes.
- Company: Join a major data transformation programme focused on AI-driven decision-making.
- Benefits: Competitive pay of up to £510 per day with opportunities for remote work.
- Why this job: Be part of a forward-looking initiative that champions innovation and continuous improvement.
- Qualifications: Solid experience in data engineering, Teradata, Informatica, SQL, and Python required.
- Other info: This role is inside IR35 and located in West London, Hounslow area.
The predicted salary is between 36000 - 60000 £ per year.
Data Engineer (Teradata / Informatica) Start: ASAP Duration: 3-9 months Pay: inside IR35, up to £510 per day Location: West London, Hounslow area Join a major data transformation programme that is modernising its data estate—blending robust legacy systems with cutting-edge, cloud-first architecture. This is not a standard lift-and-shift project; it’s a long-term, forward-looking initiative focused on AI-driven decision-making and operational excellence. Key Responsibilities – Design and maintain scalable, cloud-based data pipelines. – Modernise legacy ETL processes using tools like Airflow, DBT, AWS Glue. – Collaborate with architects and engineers to deliver high-quality, production-ready solutions. – Optimise workflows and ensure data quality, reliability, and documentation. – Champion best practices and a culture of continuous improvement. Essential Skills – Solid data engineering experience in both on-prem and cloud environments. – Strong hands-on knowledge of Teradata and Informatica. – Proven experience with SQL, Python, and large-scale data pipelines. – Familiarity with data warehousing, modelling, and performance tuning. – Experience using AWS and Agile working methods. – CI/CD and version control proficiency. Desirable – Experience with Snowflake or other cloud-native warehouses. – Exposure to GraphQL, DataOps, Terraform/CloudFormation. – Interest in AI/ML integration in data engineering. – Experience in enterprise-grade or regulated environments. #J-18808-Ljbffr
Data Engineer (Teradata / Informatica) employer: Stott and May
Contact Detail:
Stott and May Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer (Teradata / Informatica)
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, like Teradata and Informatica. Having hands-on experience or even completing relevant online courses can give you a significant edge during discussions.
✨Tip Number 2
Network with professionals in the data engineering field, especially those who have experience with cloud-based architectures. Engaging in conversations on platforms like LinkedIn can help you gain insights and potentially get referrals.
✨Tip Number 3
Stay updated on the latest trends in data engineering, particularly around AI-driven decision-making and cloud technologies. Being able to discuss current developments can demonstrate your passion and commitment to the field.
✨Tip Number 4
Prepare to showcase your problem-solving skills during interviews. Be ready to discuss past projects where you optimised workflows or improved data quality, as these experiences are highly relevant to the role.
We think you need these skills to ace Data Engineer (Teradata / Informatica)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Teradata, Informatica, and any relevant cloud technologies. Use specific examples of projects where you've designed data pipelines or modernised ETL processes.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company's data transformation programme. Mention how your skills in SQL, Python, and cloud environments align with their needs.
Showcase Relevant Projects: If you have worked on projects involving AI-driven decision-making or operational excellence, be sure to include these in your application. Highlight your role and the impact of your contributions.
Highlight Continuous Improvement: Discuss your commitment to best practices and continuous improvement in data engineering. Provide examples of how you've optimised workflows or ensured data quality in past roles.
How to prepare for a job interview at Stott and May
✨Showcase Your Technical Skills
Be prepared to discuss your hands-on experience with Teradata and Informatica. Highlight specific projects where you've designed scalable data pipelines or modernised ETL processes, as this will demonstrate your capability to meet the job's technical requirements.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your problem-solving skills, especially in optimising workflows and ensuring data quality. Prepare examples of challenges you've faced in previous roles and how you overcame them, particularly in cloud environments.
✨Familiarise Yourself with Agile Methodologies
Since the role involves Agile working methods, brush up on Agile principles and be ready to discuss how you've applied them in past projects. This shows your adaptability and understanding of modern development practices.
✨Express Your Interest in AI/ML Integration
Given the focus on AI-driven decision-making, express your interest in integrating AI/ML into data engineering. Share any relevant experiences or projects that highlight your enthusiasm for this area, as it aligns with the company's forward-looking initiatives.
