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- Tasks: Design and maintain data pipelines for a leading airline's analytics needs.
- Company: Join a top global IT services firm with a strong reputation since 1968.
- Benefits: Potential for contract extension and competitive pay of up to £500 per day.
- Why this job: Be part of a dynamic team driving innovation in the airline industry.
- Qualifications: Experience in data engineering, cloud environments, and modern ETL tools required.
- Other info: Opportunity to work in a hybrid environment with a focus on technical excellence.
Are you an experienced Senior Data Engineer looking for your next contract role? Join one of the world\’s leading IT services, consulting, and business solutions organization. Founded in 1968, the company consistently ranks among the top global IT service providers. With a presence in over 50 countries, the company has built a reputation for delivering high-quality technology services across industries including banking, healthcare, telecommunications, and retail.
The leading consultancy firm has partnered with a world-leading airline company. They are currently seeking an experienced Senior Data Engineer to join the team on a 3-month contract, with a potential for extension.
Ready to make a move? Get in touch and apply today!
Responsibilities:
- Design, develop, and maintain robust, scalable data pipelines to support key business applications and advanced analytics initiatives.
- Re-engineer and modernise Legacy ETL processes, transitioning them into efficient cloud-native solutions using tools such as Snowflake, AWS, and Airflow.
- Collaborate closely with data architects, analysts, and engineers to deliver high-quality, production-ready solutions in a complex hybrid environment.
- Investigate and resolve data quality issues, implementing effective monitoring and alerting mechanisms to ensure reliability and performance.
- Contribute to a culture of technical excellence, continuous improvement, and best practice through code reviews, documentation, and knowledge sharing.
Skills/Must have:
- Proven, hands-on experience as a Data Engineer in both on-premise and cloud-based environments, with the ability to bridge Legacy and modern data ecosystems.
- Strong working knowledge of Teradata and Informatica, with practical experience in managing and modernising traditional ETL workflows.
- Proficient in building scalable data pipelines using modern tools such as Airflow, DBT, AWS Glue, and handling large volumes of structured and semi-structured data.
- Advanced skills in SQL and Python for data manipulation, transformation, and workflow orchestration.
- Solid understanding of data modelling, data warehousing principles, and techniques for performance tuning and optimisation.
- Hands-on experience with AWS cloud services and familiarity with DevOps practices including CI/CD, version control, and agile development methodologies.
Benefits:
- View to Extension
Salary:
- Up to £500 Per Day
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Senior Data Engineer - Airline employer: Hamilton Barnes Associates Limited
Contact Detail:
Hamilton Barnes Associates Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - Airline
✨Tip Number 1
Network with professionals in the airline and data engineering sectors. Attend industry meetups or webinars to connect with potential colleagues and learn about the latest trends, which can give you an edge during interviews.
✨Tip Number 2
Familiarise yourself with the specific tools mentioned in the job description, such as Snowflake, AWS, and Airflow. Consider taking online courses or tutorials to enhance your skills and demonstrate your commitment to mastering these technologies.
✨Tip Number 3
Prepare for technical interviews by practising common data engineering problems and scenarios. Focus on SQL and Python challenges, as well as questions related to ETL processes and cloud services, to showcase your expertise.
✨Tip Number 4
Research the airline company and its data initiatives. Understanding their business model and how they leverage data can help you tailor your discussions and show that you're genuinely interested in contributing to their success.
We think you need these skills to ace Senior Data Engineer - Airline
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience as a Data Engineer, particularly in cloud environments and with tools like Snowflake and AWS. Use specific examples of projects where you've designed and maintained data pipelines.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention your hands-on experience with Teradata and Informatica, and how you can contribute to modernising their ETL processes.
Showcase Relevant Skills: Clearly list your technical skills relevant to the job description, such as SQL, Python, and your familiarity with DevOps practices. Provide examples of how you've used these skills in past roles.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a Senior Data Engineer.
How to prepare for a job interview at Hamilton Barnes Associates Limited
✨Showcase Your Technical Skills
Be prepared to discuss your hands-on experience with tools like Snowflake, AWS, and Airflow. Highlight specific projects where you've designed and maintained data pipelines, and be ready to explain the challenges you faced and how you overcame them.
✨Demonstrate Problem-Solving Abilities
Expect questions about data quality issues and how you've resolved them in the past. Share examples of how you've implemented monitoring and alerting mechanisms to ensure data reliability and performance.
✨Emphasise Collaboration
Since the role involves working closely with data architects, analysts, and engineers, be sure to discuss your experience in collaborative environments. Provide examples of how you've contributed to team projects and shared knowledge through code reviews or documentation.
✨Prepare for Scenario-Based Questions
You might be asked to solve hypothetical problems related to data engineering. Practice articulating your thought process and approach to modernising ETL workflows or optimising data models, as this will demonstrate your critical thinking and technical expertise.
