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The team you'll be working with:
We are seeking a detail-oriented and capable Data Engineer – AWS to join our Data & AI practice. The successful candidate will bring solid experience in data engineering, ETL/ELT pipeline development, and cloud-native platforms, with a strong focus on AWS-based data ecosystems.
This role is key to supporting the design, development, and optimisation of scalable data pipelines and data platforms, enabling data-driven decision making, analytics, and downstream applications. You will contribute to ensuring data quality, reliability, and performance, through structured engineering and testing practices.
You will work closely with architects, engineers, and analysts to deliver secure, high-performing data solutions, using technologies such as AWS Glue, Python/PySpark, SQL, and configuration-driven frameworks (e.g., YAML). You should be comfortable working in a collaborative, delivery-focused environment and have a strong interest in cloud technologies, modern data platforms, and software engineering best practices.
What you'll be doing:
- Support delivery across data engineering and platform development initiatives
- Collaborate with architects, engineers, and stakeholders to implement data solutions on AWS
- Assist in planning and executing engineering tasks, releases, and deliverables
- Build and maintain data pipelines and workflows on AWS platforms
- Develop ETL/ELT pipelines using: AWS Glue, Python / PySpark, SQL, Configuration-driven frameworks (e.g., YAML)
- Support ingestion, transformation, and processing of structured and semi-structured data
- Contribute to the development of scalable, reusable data components and services
- Test and validate data pipelines and processing jobs running on AWS services
- Develop and execute data validation and reconciliation queries using SQL
- Work with AWS services including: AWS Glue, S3-based data lakes, Related data processing and orchestration services
- Support implementation of modern data platforms, including data lakes and lakehouse-style architectures
- Optimise data jobs for performance, scalability, and cost efficiency
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
What experience you'll bring:
- Experience in data engineering or software engineering with a data focus
- Strong interest in cloud-based data platforms and distributed processing
- Good analytical and problem-solving skills
- Attention to detail and commitment to data quality and reliability
- Effective communication and teamwork skills
- Willingness to learn and develop in AWS and modern data engineering practices
Technical Expertise:
- Hands-on experience with:
- AWS cloud services, especially AWS Glue
- Python / PySpark
- SQL querying and data manipulation
- Exposure to YAML or configuration-driven pipelines (desirable)
- Experience building or supporting:
- Data pipelines
- ETL/ELT processes
- Familiarity with:
- Data lakes and/or Lakehouse concepts
- Distributed processing frameworks (e.g., Spark)
- Basic understanding of:
- Data architecture patterns
- Cloud-native development
- Exposure to version control (e.g., Git) and CI/CD pipelines (desirable)
Who we are:
We’re a business with a global reach that empowers local teams, and we undertake hugely exciting work that is genuinely changing the world. Our advanced portfolio of consulting, applications, business process, cloud, and infrastructure services will allow you to achieve great things by working with brilliant colleagues, and clients, on exciting projects.
Our inclusive work environment prioritises mutual respect, accountability, and continuous learning for all our people. This approach fosters collaboration, well-being, growth, and agility, leading to a more diverse, innovative, and competitive organisation. We are also proud to share that we have a range of Inclusion Networks such as: the Women’s Business Network, Cultural and Ethnicity Network, LGBTQ+ & Allies Network, Neurodiversity Network, and the Parent Network.


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For more information on Diversity, Equity and Inclusion please click here: Creating Inclusion Together at NTT DATA UK
What we can offer you:
We offer a range of tailored benefits that support your physical, emotional, and financial wellbeing. Our Learning and Development team ensure that there are continuous growth and development opportunities for our people. We also offer the opportunity to have flexible work options.
You can find more information about NTT DATA UK & Ireland here: NTT DATA UK & Ireland
We are an equal opportunities employer. We believe in the fair treatment of all our employees and commit to promoting equity and diversity in our employment practices.
We are also a proud Disability Confident Committed Employer - we are committed to creating a diverse and inclusive workforce. We actively collaborate with individuals who have disabilities and long-term health conditions which have an effect on their ability to do normal daily activities, ensuring that barriers are eliminated when it comes to employment opportunities. In line with our commitment, we guarantee an interview to applicants who declare to us, during the application process, that they have a disability and meet the minimum requirements for the role.
If you require any reasonable adjustments during the recruitment process, please let us know. Join us in building a truly diverse and empowered team.
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