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For Companies At a Glance
- Tasks: Design and implement data flows, ensuring high-quality datasets for analytics and decision-making.
- Company: Join a forward-thinking company focused on data innovation and collaboration.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Why this job: Make a real impact by working with data that drives business insights.
- Qualifications: Experience in data engineering, strong communication skills, and a passion for problem-solving.
- Other info: Dynamic team environment with excellent career advancement opportunities.
The predicted salary is between 36000 - 60000 £ per year.
As a Senior Data Engineer, you will design and lead the implementation of data flows that link operational systems, analytics & BI platforms. You will be part of the Data Services team, which handles ingesting, storing, maintaining and exposing a variety of datasets. These datasets are used by analysts and data scientists to generate insights and support decision-making. The team is growing, and your role will involve bringing in new datasets, maintaining existing ones, and ensuring data is clean, accessible and high-quality.
Responsibilities
- Ingest new datasets as needed by the business.
- Ensure all analytics-ready datasets are formatted clearly and meet high-quality standards.
- Investigate and resolve any defects or discrepancies in the datasets.
- Maintain the dataset catalogue and data dictionary so analysts / data scientists can easily find and use data.
- Perform any other tasks that help ensure the datasets are coherent, well-maintained and available for end-users.
Qualifications
- Communication
- Engage effectively with both technical and non-technical stakeholders.
- Lead discussions in multidisciplinary teams and handle differing viewpoints.
- Represent and advocate for the Data Services team externally.
- Profile data and analyse source systems.
- Present clear insights to support how data is used downstream.
- Design, build and test large or complex data products.
- Look for ways to improve data by providing “conformed” (standardised) datasets.
- Choose and implement technologies that deliver resilient, scalable, future-proof data solutions.
- Produce data models across multiple subject areas.
- Explain the rationale behind choosing specific models.
- Understand industry-recognised modelling standards and apply them appropriately.
- Ensure datasets are accompanied by appropriate metadata.
- Know tools and practices for metadata storage and usage.
- Oversee integrity, accessibility and searchability of data and metadata, and recommend improvements.
- Respond to problems in databases, data processes or data products as they arise.
- Monitor services to identify trends and take preventative action.
- Use agreed standards and tools to design, code, test, document and refactor moderate-to-complex programs and scripts.
- Collaborate with others on specifications and reviews.
- Review requirements, define test conditions, identify risks and test issues.
- Apply manual and automated testing as needed, analyse and report results.
- Understand core technical concepts relevant to the role and apply them with guidance.
- Stay aware of emerging trends, tools, techniques in data, and their impact on the organisation.
Due to the secure nature of the programme, you will need to hold UK Security Clearance or be eligible to go through this clearance. This position is available in Gloucester.
Skills
- Data Analysis
- Data Engineering
- English
- Python
- SQLite
Senior Data Engineer in Gloucester employer: CGI
Contact Detail:
CGI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer in Gloucester
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the lookout for opportunities. You never know who might have a lead or can refer you to a hiring manager.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those that highlight your ability to design and implement data flows. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss how you've tackled data discrepancies or improved data quality in past roles—real examples go a long way!
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are passionate about data engineering. Plus, it gives us a chance to see your enthusiasm right from the start.
We think you need these skills to ace Senior Data Engineer in Gloucester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Senior Data Engineer role. Highlight your data engineering projects, especially those involving data flows and analytics platforms, to show us you’re the right fit.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you’re passionate about data engineering. Share specific examples of how you've designed and implemented data solutions in the past, and how you can contribute to our Data Services team.
Showcase Your Communication Skills: Since you'll be engaging with both technical and non-technical stakeholders, make sure to demonstrate your communication skills in your application. Use clear language and avoid jargon to show us you can bridge the gap between teams.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates during the process!
How to prepare for a job interview at CGI
✨Know Your Data Inside Out
As a Senior Data Engineer, you’ll be expected to have a solid grasp of data flows and structures. Before the interview, brush up on your knowledge of data ingestion, storage, and quality standards. Be ready to discuss specific datasets you've worked with and how you ensured their integrity and accessibility.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled data discrepancies or defects in the past. Highlight your approach to monitoring services and identifying trends. This will demonstrate your proactive mindset and ability to resolve issues effectively, which is crucial for the role.
✨Communicate Clearly with Stakeholders
Since you'll be engaging with both technical and non-technical teams, practice explaining complex data concepts in simple terms. Think of scenarios where you had to advocate for your team or present insights to stakeholders, and be ready to share those experiences during the interview.
✨Stay Updated on Industry Trends
Familiarise yourself with the latest tools and techniques in data engineering. Be prepared to discuss how emerging trends could impact the organisation and suggest innovative solutions. This shows that you're not just technically proficient but also forward-thinking and adaptable.
