At a Glance
- Tasks: Design and maintain data pipelines, optimise data warehouses, and develop insightful dashboards.
- Company: Established international engineering firm investing in global data capabilities.
- Benefits: Up to £85,000 salary, bonuses, hybrid work, and travel opportunities.
- Other info: Collaborative environment with excellent career growth and exposure to modern tech.
- Why this job: Join a dynamic team and influence data architecture across international projects.
- Qualifications: Experience with data pipelines, Snowflake, dbt, and stakeholder engagement.
The predicted salary is between 76500 - 85000 £ per year.
Location
Gloucestershire | Hybrid (2–3 days onsite per week)
Salary
Type
Permanent, Full-time
We’re working with a well-established, international engineering and manufacturing business that is investing in its global data capabilities.
They’re looking for a Data Engineer to join their Global Data Team, helping develop and improve the data infrastructure that supports business operations, reporting and decision-making across multiple international locations.
- This is an opportunity to work with a modern data stack including
- Snowflake, dbt, Fivetran, SQL and Power BI
, taking ownership of data pipelines, warehouse administration and data modelling while working closely with stakeholders across the business.
The role would suit someone who enjoys being hands-on technically but also wants to understand how data can solve genuine business challenges.
- What you'll be doing
- Designing, developing and maintaining data pipelines to integrate information from multiple enterprise systems.
- Administering and optimising the Snowflake data warehouse to ensure reliable and accessible data.
- Building and maintaining data models using Kimball Dimensional Modelling principles.
- Using dbt, SQL and ELT technologies to transform raw data into structured, usable datasets.
- Developing Power BI dashboards and reporting solutions to provide meaningful business insights.
- Working with stakeholders across engineering, manufacturing, finance and wider business functions to understand their data requirements.
- Identifying opportunities to improve data quality, governance and reporting capabilities.
- Supporting the wider data strategy through improvements to existing technologies and processes.
- Working with a geographically dispersed Global Data Team and contributing to projects across international operations.
What we're looking for
We're particularly interested in speaking with Data Engineers who have experience working with enterprise data environments and enjoy combining technical delivery with stakeholder engagement.
- Experience designing, building and maintaining data warehouses.
- Hands-on experience developing and managing ETL/ELT data pipelines.
- Experience working with dbt for data transformation.
- Strong understanding of data modelling, ideally using Kimball Dimensional Modelling.
- Experience with BI and reporting technologies such as Power BI.
- Understanding of data governance, data quality and security principles.
- Ability to work independently, manage priorities and communicate effectively with technical and non-technical stakeholders.
- Snowflake data warehouse administration and development.
- Fivetran for data integration.
- Microsoft Fabric and Power BI dataset administration.
- Git Hub and peer review processes.
- Experience integrating data from ERP platforms
- Previous experience within engineering, aerospace or manufacturing environments.
- Familiarity with AI-assisted development tools.
Why consider this opportunity?
This isn't a role focused solely on maintaining existing reports or managing day-to-day data requests.
You'll be joining a business that is actively developing its data capabilities, with the opportunity to influence how data is structured, integrated and used across the organisation.
You'll benefit from
- Exposure to a modern data technology stack.
- Involvement in international data and analytics projects.
- The opportunity to influence data architecture, engineering standards and governance.
- Direct engagement with senior stakeholders and operational teams.
- A collaborative global team with opportunities to develop your technical expertise.
- Hybrid working, with occasional fully expensed travel to the USA.
Data Engineer employer: IMT Resourcing Solutions
Join a forward-thinking organisation that prioritises information security and compliance, offering a collaborative work culture where your expertise as a GRC Analyst will be valued. With a focus on employee growth, you will have access to ongoing training and development opportunities, particularly in the latest Microsoft security tools and frameworks. Located in a vibrant area, this role not only provides meaningful work but also the chance to make a significant impact within the organisation's security landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨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 Solutions!
✨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 Data Engineer at IMT Resourcing Solutions.
✨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 Solutions.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at IMT Resourcing Solutions, 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!
We think you need these skills to ace Data Engineer
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 Solutions, 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 Solutions. 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 Solutions
✨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 Solutions!
✨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.
