At a Glance
- Tasks: Design and maintain scalable data architecture and pipelines using modern cloud technologies.
- Company: Leading engineering and manufacturing organisation with a focus on innovation.
- Benefits: Up to £85,000 salary, excellent benefits, career development, and flexible working.
- Other info: Collaborative environment with opportunities for high-impact projects.
- Why this job: Shape a growing data platform and influence global data strategy.
- Qualifications: Strong SQL, Snowflake experience, and data warehousing knowledge required.
The predicted salary is between 76500 - 93500 £ per year.
Location: Gloucester - 2 days / 3 days WFH per week
Salary: Up to £85,000
Benefits: Excellent benefits package, career development and the opportunity to shape a growing data platform.
Our client, a leading engineering and manufacturing organisation, is looking to appoint a Senior Data Engineer to play a key role in the evolution of its enterprise data platform. This is an opportunity to influence data strategy, own critical data engineering initiatives, and work with modern cloud technologies to deliver trusted, high-quality data that supports business decision-making across a global organisation.
Working within a collaborative data team, you'll combine technical expertise with strong stakeholder engagement to design scalable data solutions, improve governance, and enable data-driven decisions throughout the business.
What you'll do:
- Design, build and maintain enterprise data architecture and scalable data pipelines.
- Administer and optimise a Snowflake data warehouse environment.
- Develop robust ELT pipelines using modern data engineering best practices.
- Build dimensional data models and reporting datasets to support business intelligence.
- Create insightful dashboards and reports using Power BI.
- Define and promote data governance standards and data quality initiatives.
- Analyse complex datasets and translate business requirements into technical solutions.
- Contribute to the organisation's data strategy by evaluating emerging technologies and AI capabilities.
- Support and educate business users on data best practice.
- Collaborate with technical and business stakeholders across multiple locations to deliver strategic data initiatives.
You'll work closely with business leaders, technology teams and global stakeholders to ensure data is accessible, reliable and delivers measurable business value.
What we're looking for:
We're looking for an experienced Senior Data Engineer with a passion for building modern cloud-based data platforms. Essential experience includes:
- Strong commercial SQL development experience.
- Proven experience administering enterprise data warehouses.
- Experience with Snowflake.
- Experience developing data pipelines and ELT processes.
- Strong knowledge of data warehousing principles and dimensional modelling (Kimball).
- Experience using dbt.
- Power BI report and dashboard development.
- Strong stakeholder management and communication skills.
- Excellent analytical and problem-solving ability.
- Experience documenting data solutions and technical specifications.
- Understanding of data governance, GDPR and data security principles.
Desirable experience:
- Fivetran or similar integration tools.
- Microsoft Fabric.
- GitHub and modern SDLC practices.
- ERP integrations such as Dynamics 365 or Infor.
- Exposure to AI technologies including Snowflake Cortex or OpenAI tooling.
- Experience within engineering, manufacturing or aerospace environments.
The ideal candidate will be a proactive self-starter who enjoys solving complex problems, influencing stakeholders and driving continuous improvement in a collaborative environment.
Why join?
- Play a key role in shaping a growing enterprise data platform.
- Work with modern cloud technologies including Snowflake, dbt and Power BI.
- Influence data strategy and architecture across a global business.
- Join a collaborative team focused on innovation, data quality and continuous improvement.
- Opportunity to work on high-impact projects with genuine business visibility.
Senior Data Engineer in Gloucester employer: IMT Resourcing
As a leading Managed Service Provider in Cheltenham, we pride ourselves on fostering a dynamic and inclusive work culture that prioritises employee growth and development. Our hybrid working model allows for flexibility while you engage with a diverse range of clients and cutting-edge technologies, ensuring that your career as a 2nd Line IT Support Engineer is both rewarding and fulfilling. With ongoing training opportunities and a collaborative team environment, you'll be well-equipped to advance your skills and career in the ever-evolving IT landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in Gloucester
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like IMT Resourcing!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data Engineer at IMT Resourcing.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like IMT Resourcing.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Engineer at IMT Resourcing, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
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 IMT Resourcing, 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 IMT Resourcing. 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 IMT Resourcing
✨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 IMT Resourcing!
✨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.
