At a Glance
- Tasks: Design and optimise data pipelines for geospatial data, ensuring high-quality delivery.
- Company: Join one of the UK's largest geospatial businesses with a focus on innovation.
- Benefits: Competitive salary, growth opportunities, and a chance to work with cutting-edge technology.
- Other info: Dynamic team environment with clear paths for career advancement.
- Why this job: Make an impact by enhancing data systems and contributing to exciting research projects.
- Qualifications: Experience in data engineering and a passion for technology and automation.
The predicted salary is between 40000 - 50000 £ per year.
About the role
The Idox Geospatial Division has brought together four geospatial business units into a single combined entity to establish one of the largest geospatial businesses in the UK. The new division provides a compelling capability that covers the full geospatial lifecycle, from strategy and consultancy to powerful software and data as a service.
Geospatial data significantly underpins the division’s current and future revenues. Within the Division’s Data & Research Team, the Data Engineer role is responsible for designing, building and optimising our data pipelines and infrastructure, ensuring that the curation, delivery and value added use of our geospatial data catalogue is undertaken to a high quality.
Working with the 3 sub teams of Research & Innovation, Data Delivery and Data Management you will ensure we provide quality assured data products and services to our customers, maximising the potential for automation of our data pipelines, contributing to the development of new and existing data products and services and supporting our research and innovation projects.
Continuous improvement is key to our success and you will directly contribute to the enhancement of our systems and processes as well as the adoption of relevant standards. You will contribute to our increased use and application of new technologies including Artificial Intelligence as we develop new data insight products and services as well as improve the automation of our pipelines and data collection systems.
In the role you will provide technical support, product development and testing, data management and support to our Products, Sales and Customer Operations teams. You will help to ensure our key service management commitments are fulfilled to high quality and performance standards as well as making sure that our technical documentation is well maintained.
The role provides a growth path from Junior to Senior levels.
Data Engineer employer: Idox Group
Idox Geospatial Division is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration among its teams. With a strong focus on employee growth, the Data Engineer role provides opportunities to advance from Junior to Senior levels while working with cutting-edge technologies like Artificial Intelligence. Located in the UK, the company promotes a culture of continuous improvement and quality assurance, ensuring that employees are engaged in meaningful projects that contribute to the future of geospatial data.
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 Idox Group!
✨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 Idox Group.
✨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 Idox Group.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at Idox Group, 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 Idox Group, 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 Idox Group. 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 Idox Group
✨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 Idox Group!
✨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.
