At a Glance
- Tasks: Design and optimise data pipelines for a leading airline's data transformation journey.
- Company: Join a global leader in the aviation sector, driving data innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on continuous improvement and technical excellence.
- Why this job: Be at the forefront of aviation data innovation and make a lasting impact.
- Qualifications: Experience in data engineering, cloud platforms, and modern ETL processes.
The predicted salary is between 60000 - 80000 £ per year.
Join a high-impact data transformation program within the aviation sector, where a global leading airline is undergoing a major data modernization journey. The initiative goes far beyond a basic lift and shift; it’s a forward-looking transformation that blends the stability of mature legacy systems with the innovation of cloud-first, AI-driven architecture.
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 experience 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-premises’ environments. This role offers engineers the opportunity to leave behind traditional approaches and contribute to a program with long-term impact at the forefront of aviation data innovation.
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, GitHub and Airflow.
- Experience in migrating data from legacy platforms, such as Teradata, to modern cloud-based data platforms like Snowflake would be highly advantageous.
- 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.
Essential skills/knowledge/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 Informatica.
- Proficiency in working with legacy systems and traditional ETL workflows.
- Solid experience building data pipelines using modern tools (Airflow, DBT, GitHub, 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 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/knowledge/experience:
- Experience with Snowflake cloud-native data warehouse technologies with Unix, Control-M, Airflow, Python, AWS.
- Exposure to data governance, data quality and metadata management tools.
- Experience in building features for Data Science teams within a data engineering context.
- Understanding of DevOps concepts as applied to data (DataOps) and infrastructure-as-code tools like Terraform or CloudFormation.
- Previous experience in highly regulated industries or large-scale, enterprise-grade environments and good to have the exposure to the Aviation Industry.
Senior Data Engineer in London employer: Tcs Uk
As a Data Governance Specialist at our company, you will be part of a dynamic team dedicated to driving customer excellence through robust data governance practices. We pride ourselves on fostering a collaborative work culture that values innovation and continuous learning, offering ample opportunities for professional growth in a supportive environment. Located in a vibrant area, our workplace not only provides a stimulating atmosphere but also encourages a healthy work-life balance, making it an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in London
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Senior Data Engineer in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Tcs Uk, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Tcs Uk. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Tcs Uk
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Tcs Uk!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
