Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and optimise data solutions for actionable insights and business innovation.
- Company: Join a forward-thinking company that values data-driven decision-making and innovation.
- Benefits: Enjoy remote work options, occasional travel, and opportunities for professional growth.
- Why this job: Be part of a dynamic team shaping the future of data engineering with cutting-edge technologies.
- Qualifications: Experience in data engineering, cloud platforms, and strong SQL skills are essential.
- Other info: Must be eligible for National Security Vetting (NSV) Security Check (SC) level.
The predicted salary is between 36000 - 60000 £ per year.
We are seeking a dynamic and versatile Data Engineer with expertise in modern data platforms, technologies, and a strong command of Microsoft or AWS data tooling and products. This role focuses on designing, building, and optimising end-to-end data solutions that drive actionable insights and business innovation. The ideal candidate will have a deep understanding of data architecture, cloud platforms, and modern data engineering practices. This position offers the option of remote working but will require some occasional travel to client sites or to CGI offices. All applicants must hold or be eligible for National Security Vetting (NSV) Security Check (SC) level.
Your future duties and responsibilities:
- Design and implement scalable ETL pipelines for data ingestion, cleansing and curation.
- Develop and manage unified data ecosystems, including warehouses, lakes and lakehouses.
- Create and maintain relational and non-relational data models to support diverse analytical needs.
- Support data visualisation efforts with tools like Power BI or Tableau.
- Establish and enforce best practices for data governance, including cataloguing, lineage tracking and quality control.
- Implement security protocols to comply with organisational and regulatory standards.
- Collaborate with data analysts, data scientists, and business stakeholders to deliver actionable data solutions.
- Mentor junior team members and foster a culture of knowledge sharing within the team.
- Stay updated on emerging technologies, optimising workflows and advocating best practices in data engineering.
Required qualifications to be successful in this role:
- Solid experience in data engineering, with exposure to multiple platforms and tools.
- Expertise in platforms like MS Fabric, Azure data tooling, AWS data tooling, Snowflake or Databricks.
- Strong proficiency in SQL and scripting languages such as Python.
- Experience with cloud platforms like Azure, AWS, or GCP and their data services.
- Solid problem-solving and stakeholder management skills, with the ability to manage complex datasets.
Desirable:
- Certifications in relevant technologies (e.g., Azure Data Engineer, AWS Big Data).
- Familiarity with AI/ML tools, data privacy regulations (e.g., GDPR, CCPA) and compliance tools.
Contact Detail:
myGwork - LGBTQ+ Business Community Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Familiarise yourself with the specific data platforms and tools mentioned in the job description, such as MS Fabric, Azure, AWS, Snowflake, and Databricks. Having hands-on experience or projects showcasing your skills with these technologies can set you apart from other candidates.
✨Tip Number 2
Network with current Data Engineers or professionals in the field through platforms like LinkedIn. Engaging in discussions about data engineering practices and trends can provide valuable insights and potentially lead to referrals for the position.
✨Tip Number 3
Stay updated on the latest developments in data engineering and cloud technologies. Following relevant blogs, attending webinars, or joining online communities can help you demonstrate your commitment to continuous learning during interviews.
✨Tip Number 4
Prepare to discuss real-world scenarios where you've designed and implemented data solutions. Be ready to explain your thought process, the challenges you faced, and how you optimised workflows, as this will showcase your problem-solving skills and practical experience.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data engineering, particularly with Microsoft or AWS tools. Include specific projects where you've designed and implemented data solutions, showcasing your skills in ETL pipelines and data modelling.
Craft a Compelling Cover Letter: In your cover letter, emphasise your understanding of data architecture and cloud platforms. Mention how your previous experiences align with the responsibilities listed in the job description, and express your enthusiasm for contributing to actionable insights and business innovation.
Showcase Relevant Skills: When filling out your application, ensure you highlight your proficiency in SQL, Python, and any relevant certifications. If you have experience with data visualisation tools like Power BI or Tableau, make sure to mention that as well.
Prepare for Potential Interviews: Anticipate questions related to your experience with data governance, security protocols, and collaboration with stakeholders. Be ready to discuss how you've mentored junior team members and contributed to a culture of knowledge sharing in previous roles.
How to prepare for a job interview at myGwork - LGBTQ+ Business Community
✨Showcase Your Technical Skills
Be prepared to discuss your experience with data engineering tools and platforms like MS Fabric, Azure, AWS, Snowflake, or Databricks. Highlight specific projects where you designed and implemented ETL pipelines or managed data ecosystems.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your problem-solving skills. Prepare examples of complex datasets you've managed and how you approached challenges in data cleansing, curation, or governance.
✨Emphasise Collaboration
Since the role involves working closely with business units and mentoring junior team members, be ready to share experiences where you collaborated effectively with others to deliver actionable insights or improve processes.
✨Stay Updated on Emerging Technologies
Show your enthusiasm for continuous learning by discussing recent trends in data engineering or new technologies you've explored. This demonstrates your commitment to optimising workflows and advocating best practices.
