At a Glance
- Tasks: Lead data integration projects using Tibco and Python, optimising data pipelines.
- Company: CGI is a top employer known for innovation and a supportive work culture.
- Benefits: Enjoy competitive salary, private healthcare, pension, and share scheme.
- Why this job: Join a diverse team focused on impactful projects and continuous learning.
- Qualifications: Experience with Tibco tools, strong Python skills, and ETL development required.
- Other info: Be part of a company that values ownership, teamwork, and personal growth.
The predicted salary is between 43200 - 72000 £ per year.
Senior Data Engineer (Tibco & Python)
Category: Analytics and Emerging Digital Technologies
Main location: United Kingdom, UK Wide – Various
Position ID: J0725-0903
Employment Type: Full Time
CGI UK Careers – Ownership, creativity and support
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Position Description:
Our Senior Data Engineers work closely with clients on impactful projects. CGI was recognized in the Sunday Times Best Places to Work List 2025 and named one of the \’World\’s Best Employers\’ by Forbes. We offer a competitive salary, pension, private healthcare, and a share scheme, making you a CGI Partner.
We are committed to diversity and inclusion, supporting the Armed Forces, and fostering a community of tech talent. Join us to develop your career with training and support in a collaborative environment.
Your future duties and responsibilities:
- Lead installation, configuration, and migration of Tibco components in enterprise environments.
- Design and build scalable ETL and data integration solutions using Tibco and Python.
- Collaborate with data architects, DevOps, and stakeholders to align technical solutions with business goals.
- Implement data pipelines across cloud and hybrid environments using Azure Data Factory, Azure Databricks, and GCP services.
- Optimize Spark transformations and legacy data migrations for real-time and batch processing.
- Define and automate data quality, error handling, and validation workflows.
- Promote best practices in infrastructure-as-code, data observability, and performance tuning.
- Contribute to a culture of technical excellence and continuous improvement.
Required qualifications:
- Proven experience with Tibco tools, including installation, configuration, and data migration.
- Strong Python skills in data engineering and scripting.
- Experience in ETL development, pipeline automation, and large dataset processing.
- Proficiency with Azure Data Factory, Azure Databricks, and GCP services.
- Experience managing structured and semi-structured data formats.
- Knowledge of Spark-based transformations using Python, SQL, or Scala.
- Understanding of data quality frameworks and data integrity techniques.
- Experience integrating Tibco into data architecture and CI/CD pipelines.
Nice to have: Experience with Terraform, cloud DevOps pipelines, and infrastructure automation.
Preferred attributes:
Passion for innovation, problem-solving, and data-driven decision-making.
#LI-MW2
Skills:
- Python
- TIBCO
What you can expect from us:
At CGI, we foster ownership, teamwork, respect, and belonging. We support your growth and career development, encouraging you to be an owner from day one. Join us to develop innovative solutions, build relationships, and access global industry expertise. Be part of a company built to grow and last, with leaders who care about your well-being and growth opportunities.
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Senior Data Engineer (Tibco & Python) employer: CGI
Contact Detail:
CGI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer (Tibco & Python)
✨Tip Number 1
Familiarise yourself with the specific Tibco tools mentioned in the job description. Having hands-on experience or projects that showcase your skills with these tools can set you apart from other candidates.
✨Tip Number 2
Network with current or former employees of CGI, especially those in data engineering roles. They can provide insights into the company culture and expectations, which can help you tailor your approach during interviews.
✨Tip Number 3
Stay updated on the latest trends in data engineering, particularly around Azure Data Factory and GCP services. Being able to discuss recent developments or innovations in these areas can demonstrate your passion and commitment to the field.
✨Tip Number 4
Prepare to discuss your experience with ETL development and pipeline automation in detail. Be ready to share specific examples of challenges you've faced and how you overcame them, as this will highlight your problem-solving skills.
We think you need these skills to ace Senior Data Engineer (Tibco & Python)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Tibco and Python, as well as your skills in ETL development and data integration. Use specific examples from your past work that demonstrate your ability to lead projects and collaborate with teams.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data engineering and innovation. Mention how your background aligns with CGI's values of ownership and teamwork, and provide examples of how you've contributed to successful projects in the past.
Showcase Relevant Projects: If you have worked on relevant projects involving Azure Data Factory, Azure Databricks, or GCP services, be sure to include these in your application. Highlight your role in these projects and the impact they had on the business.
Highlight Continuous Learning: Mention any recent training or certifications related to data engineering, cloud technologies, or Tibco tools. This shows your commitment to professional growth and staying updated with industry trends, which is important to CGI.
How to prepare for a job interview at CGI
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Tibco and Python in detail. Highlight specific projects where you've successfully implemented ETL solutions or data integration, and be ready to explain the challenges you faced and how you overcame them.
✨Understand the Company Culture
Research CGI's values and culture, especially their commitment to diversity and inclusion. Be ready to discuss how your personal values align with theirs and how you can contribute to a collaborative environment.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills and technical expertise. Prepare examples of how you've optimised data pipelines or handled data quality issues in past roles, as this will demonstrate your practical knowledge.
✨Ask Insightful Questions
At the end of the interview, ask questions that show your interest in the role and the company. Inquire about the team's current projects, the tools they use, or how they measure success in data engineering. This shows you're engaged and eager to contribute.