At a Glance
- Tasks: Develop and deliver data engineering products while optimising data pipelines.
- Company: Join Arup, a leader in shaping a better world through innovative data solutions.
- Benefits: Enjoy competitive pay, flexible benefits, and opportunities for personal growth.
- Other info: Be part of a supportive culture that values individuality and inclusivity.
- Why this job: Make a positive impact using data in a collaborative and diverse environment.
- Qualifications: Degree in engineering, computer science, or related field; strong programming skills required.
The predicted salary is between 60000 - 80000 £ per year.
A degree qualification in a subject related to engineering, computer science, data science/analytics, business or other quantitative analytical field, or equivalent work experience.
An expertise in Azure, AWS, or GCP tooling (particularly BigQuery, Databricks, or equivalent) and expertise in infrastructure management and implementing scalable data pipelines.
Ability to automate workflows and optimise ETL/ELT processes for performance and cost efficiency.
Strong programming skills, including Python.
Demonstrable experience in developing and deploying reusable analytical products and services.
Responsibilities:
- Work on the delivery of data engineering products, projects and capabilities for our clients.
- Deliver infrastructure in an agile DevOps manner.
- Ensure the security and cost‑effectiveness of data platform infrastructure.
- Build collaborative and functional relationships with peers in technical, business leadership and business development roles.
This is a client‑facing role ideal for someone with a strong background in data engineering, data management, Agile, DevOps, cloud platforms, testing, and their practical applications in real‑world scenarios.
In this role you will collaborate with a multidisciplinary team of data scientists, consultants, software engineers, and engineers to help organisations realise the value of their data.
Arup is an equal opportunity employer that actively promotes and nurtures a diverse and inclusive workforce. We welcome applications from individuals of all backgrounds, regardless of age, gender identity or expression, marital status, disability, neurotype or mental health, race or ethnicity, faith or belief, sexual orientation, socioeconomic background, and whether you're pregnant or on family leave.
Our internal employee networks support our inclusive culture: from race, ethnicity and cross‑cultural working to gender equity and LGBTQ+ and disability inclusion – we aim to create a space for you to express yourself and make a positive difference.
Data Engineer in Birmingham employer: Arup
Arup is an exceptional employer that fosters a collaborative and inclusive work culture, where individuality thrives and diverse perspectives are valued. As a Data Engineer, you will have the opportunity to engage in meaningful projects that positively impact communities while benefiting from a comprehensive rewards package, including profit sharing, flexible benefits, and extensive learning opportunities for personal and professional growth. With a commitment to social responsibility and sustainability, Arup empowers its members to contribute to a better world through innovative data solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Birmingham
✨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 Arup!
✨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 Arup.
✨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 Arup.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at Arup, 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 in Birmingham
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 Arup, 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 Arup. 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 Arup
✨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 Arup!
✨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.
