Data Engineer: Cloud Pipelines, Python & DevOps in York
Data Engineer: Cloud Pipelines, Python & DevOps

Data Engineer: Cloud Pipelines, Python & DevOps in York

York Full-Time 50000 - 65000 Β£ / year (est.) Home office (partial)
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Arup

At a Glance

  • Tasks: Join our team to develop data engineering products and deliver impactful solutions.
  • Company: Be part of Arup, a leader in shaping a better world through innovative projects.
  • Benefits: Enjoy competitive pay, 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 skills required.

The predicted salary is between 50000 - 65000 Β£ per year.

Joining 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 client-facing role is 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.

We are owned in trust on behalf of our members, giving us the freedom, with personal responsibility, to set our own direction and choose work that aligns with our purpose and adds to Arup's legacy. Our members collaborate on ambitious projects to deliver remarkable outcomes for our clients and communities. Profit Share is a key part of our reward, enabling members to share in the results of our collective efforts. We also provide Private medical insurance, Life assurance, Accident insurance and Income protection cover. In addition, you'll have access to flexible benefits to help you look after all aspects of your wellbeing and give you the freedom and flexibility to find the best solutions for you, your family, and your individual needs.

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 (within legal limits), 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. Guided by our values and alignment with the UN Sustainable Development Goals, we create and contribute to equitable spaces and systems, while cultivating a sense of belonging for all.

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.

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.

Our Application Process

To understand what to expect next, please visit our application process page. Stay safe online - Arup will never ask for payment or your bank details as part of our recruitment process. Recruitment Agencies - We have a Preferred Supplier List of trusted partners to assist us when required and do not acknowledge any speculative CVs or unsolicited candidate introductions from agencies not on the list.

Closing date: 8th April 2026. We may close the role earlier than the advertised date should we receive a large number of applications, so please ensure you apply early.

Data Engineer: Cloud Pipelines, Python & DevOps in York employer: Arup

At Arup, we pride ourselves on being an exceptional employer, offering a collaborative and inclusive work culture that empowers our members to thrive. With a strong focus on personal and professional growth, we provide extensive learning opportunities, competitive benefits, and a unique profit-sharing model that allows you to share in our collective success. Join us in making a meaningful impact through innovative data engineering solutions that contribute to a better world.
Arup

Contact Detail:

Arup Recruiting Team

StudySmarter Expert Advice 🀫

We think this is how you could land Data Engineer: Cloud Pipelines, Python & DevOps in York

✨Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect with Arup employees on LinkedIn. Building relationships can open doors that applications alone can't.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving cloud platforms and Python. This gives you a chance to demonstrate your expertise beyond just a CV.

✨Tip Number 3

Prepare for interviews by brushing up on Agile and DevOps practices. Be ready to discuss how you've applied these in real-world scenarios, as this is key for the role at Arup.

✨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 in York

Data Engineering
Data Management
Agile Methodologies
DevOps
Cloud Platforms (Azure, AWS, GCP)
Infrastructure Management
Scalable Data Pipelines
Workflow Automation
ETL/ELT Optimisation
Python Programming
Analytical Product Development
Collaboration Skills
Client-Facing Communication

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 like Azure, AWS, or GCP, and showcase your Python skills. We want to see how your background aligns 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. Keep it engaging and personal!

Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them! Whether it's building scalable data pipelines or automating workflows, we love seeing real-world applications of your skills. It helps us understand your practical experience.

Apply Through Our Website: Don't forget to apply through our website! It's the best way to ensure your application gets to us directly. Plus, you'll find all the details you need about the role and our application process there.

How to prepare for a job interview at Arup

✨Know Your Tech Inside Out

Make sure you brush up on your knowledge of cloud platforms like Azure, AWS, or GCP. Be ready to discuss specific tools like BigQuery or Databricks and how you've used them in past projects. This will show that you're not just familiar with the tech, but that you can apply it effectively.

✨Showcase Your Problem-Solving Skills

Prepare examples of how you've tackled real-world data engineering challenges. Think about times when you automated workflows or optimised ETL/ELT processes. Being able to articulate these experiences will demonstrate your practical skills and your ability to make a positive impact.

✨Emphasise Collaboration

Since this role involves working with a multidisciplinary team, be ready to talk about your experience collaborating with others. Share stories that highlight your ability to build relationships and work effectively with data scientists, engineers, and business leaders.

✨Align with Arup's Values

Familiarise yourself with Arup's purpose and values. During the interview, express how your personal values align with theirs, especially regarding making a positive difference in the world. This will show that you're not just looking for a job, but that you're genuinely interested in contributing to their mission.

Data Engineer: Cloud Pipelines, Python & DevOps in York
Arup
Location: York
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