At a Glance
- Tasks: Join a dynamic team to develop data engineering products and solutions for real-world impact.
- Company: Arup, a leader in shaping a better world through innovative engineering and technology.
- Benefits: Competitive pay, health insurance, flexible benefits, and opportunities for personal growth.
- Other info: Inclusive culture that values diversity and encourages individuality.
- Why this job: Make a positive difference using data while collaborating with diverse experts.
- Qualifications: Degree in engineering, computer science, or related field; strong Python and cloud skills.
The predicted salary is between 45000 - 55000 £ per year.
Arup’s purpose, shared values and collaborative approach has set us apart for over 75 years, guiding how we shape a better world.
The Opportunity
We are seeking a Data Engineer / Developer to join our rapidly growing team within Arup’s Digital Services Portfolio. Our team sits at the intersection of data techniques and the built and natural environment. We are looking for individuals who are keen to find ways to use data to make a positive difference to the world around us.
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.
You will collaborate with a multidisciplinary team of data scientists, consultants, software engineers, and engineers to help organisations realise the value of their data. In this role you will:
- 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.
At Arup, you belong to an extraordinary collective – in which we encourage individuality to thrive. Our strength comes from how we respect, share and connect our diverse experiences, perspectives and ideas.
You will have the opportunity to do socially useful work that has meaning – to Arup, to your career, to our members and to the clients and communities we serve.
Is this role right for you?
We’re looking for candidates with:
- 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 such as 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.
What we offer you
At Arup, we care about each member’s success, so we can grow together. Guided by our values, we provide an attractive total reward package that recognises the contribution of each of our members to our shared success. As well as competitive, fair and equitable pay, we offer a career in which all of our members can belong, grow and thrive – through benefits that support health and wellbeing, a wide range of learning opportunities and many possibilities to have an impact through the work they do.
Different People, Shared Values
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. We are an open environment that embraces diverse experiences, perspectives, and ideas – this drives our excellence.
We are committed to making our recruitment process and workplaces accessible to all candidates. Please contact Marek Mazurowski (marek.mazurowski@arup.com) to let us know if you need any assistance or reasonable adjustments throughout your application or interview process, and/or to perform the essential functions of the role. We will do everything we can to support you.
Data Engineer: Cloud Pipelines, Python & DevOps employer: Arup
At Arup, we pride ourselves on fostering a collaborative and inclusive work culture that empowers our members to thrive. As a Data Engineer in our Digital Services Portfolio, you will not only engage in meaningful projects that positively impact communities but also benefit from a comprehensive rewards package, including profit sharing, private medical insurance, and extensive learning opportunities. Join us in shaping a better world while enjoying the freedom to innovate and grow within a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer: Cloud Pipelines, Python & DevOps
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with Arup employees on LinkedIn. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving cloud platforms like Azure or AWS. This gives you a chance to demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for the interview by brushing up on your technical skills and understanding of DevOps practices. Be ready to discuss how you've tackled real-world problems using data – they love practical examples!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the Arup team.
We think you need these skills to ace Data Engineer: Cloud Pipelines, Python & DevOps
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. Highlight your experience with cloud platforms, Python, and DevOps. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to shaping a better world with us at Arup.
Showcase Your Projects:If you've worked on relevant projects, don’t hold back! Share examples of your work with data pipelines or any automation you've done. We love seeing practical applications of your skills.
Apply Through Our Website:Remember to apply through our website for a smooth application process. It helps us keep everything organised and ensures your application gets the attention it deserves!
How to prepare for a job interview at Arup
✨Know Your Tech Stack
Make sure you’re well-versed in the specific cloud platforms mentioned in the job description, like Azure, AWS, or GCP. Brush up on your knowledge of tools like BigQuery and Databricks, as well as your Python programming skills. Being able to discuss these technologies confidently will show that you're ready to hit the ground running.
✨Showcase Real-World Applications
Prepare examples from your past experiences where you've successfully implemented data pipelines or automated workflows. Be ready to explain how you optimised ETL/ELT processes for performance and cost efficiency. This will demonstrate your practical understanding and ability to apply your skills in real-world scenarios.
✨Emphasise Collaboration
Since this role involves working with a multidisciplinary team, highlight your experience in collaborative environments. Share stories about how you’ve built relationships with peers in technical and business roles, and how you’ve contributed to team success. This will show that you value teamwork and can thrive in a client-facing role.
✨Align with Arup’s Values
Familiarise yourself with Arup’s purpose and values, especially their commitment to diversity and making a positive impact. During the interview, express how your personal values align with theirs and how you can contribute to their mission of shaping a better world. This connection can set you apart from other candidates.
