At a Glance
- Tasks: Design and maintain scalable data integration solutions to support business decisions.
- Company: Join a growing manufacturing company focused on enhancing data capabilities.
- Benefits: Salary up to £70,000, hybrid working, and opportunities for influence.
- Other info: Dynamic team environment with opportunities for professional growth.
- Why this job: Be part of an evolving Microsoft Fabric platform and tackle exciting data challenges.
- Qualifications: Experience with ETL pipelines, strong SQL skills, and a passion for data quality.
An exciting opportunity has arisen for a skilled Data Integration Engineer to join a growing manufacturing company committed to developing its data capability. This role is ideal for someone with a strong understanding of business processes across multiple functions and a passion for delivering high-quality data integration solutions. You'll play a key role in designing, developing and maintaining scalable data pipelines and integration solutions that support business decision-making and data-driven initiatives. Working within a modern Microsoft environment, you'll help develop and support an established Microsoft Fabric platform, connecting data from a variety of sources and contributing to the ongoing evolution of the organisation's data capability.
Key Responsibilities
- Design, develop and maintain scalable and robust data integration solutions.
- Build and maintain ETL/data pipelines.
- Integrate data from a range of sources, including databases, CSV files and APIs.
- Develop and maintain SQL stored procedures.
- Support data modelling and ETL processes.
- Work with both structured and unstructured data to deliver reliable, high-quality data solutions.
- Contribute to the ongoing development of the Microsoft Fabric environment.
- Support organisational decision-making through effective data integration and architecture.
What We're Looking For
- Experience building ETL/data pipelines.
- Strong SQL skills, including stored procedures.
- Experience working with APIs and different data sources.
- Experience with data integration and data modelling.
- A good understanding of business processes across different business functions.
- Exposure to Microsoft Fabric is desirable but not essential.
- Experience with the Microsoft data stack or similar cloud data platforms would be beneficial.
- A proactive, self-motivated approach with the ability to deliver high-quality work in a fast-paced environment.
- A passion for data quality and solving complex integration challenges.
What's On Offer
- Salary up to £70,000.
- Hybrid working - 3 days per week in the office.
- The opportunity to work with an evolving Microsoft Fabric platform.
- Join a growing team where you'll have the opportunity to influence and enhance the organisation's data integration capability.
Data Integration Engineer employer: WeDoTech
Join a forward-thinking company that values innovation and collaboration, offering a dynamic work culture in Bristol. As a D365 F&O Solution Architect, you'll have the opportunity to lead impactful projects across Europe, with a strong focus on employee growth and development. Enjoy a competitive salary, flexible hybrid working arrangements, and the chance to shape the future of finance solutions in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Integration 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 WeDoTech!
✨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 Integration Engineer at WeDoTech.
✨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 WeDoTech.
✨Apply Directly through Our Website
When you find a suitable opening like Data Integration Engineer at WeDoTech, 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 Integration 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 WeDoTech, 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 WeDoTech. 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 WeDoTech
✨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 WeDoTech!
✨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.
