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Data Engineer
Company Description
MSX has been a trusted partner to leading vehicle manufacturers, their retailers, and mobility organizations globally for more than 30 years. Our unwavering commitment is to help our clients transform their businesses and effectively manage operations in the areas of: Sales Performance; Repair Optimization and Compliance; Parts and Accessories Sales Performance; and Consumer Engagement.
With our global teams, industry expertise, and the power of technology, we design and deliver tailored, sustainable, and innovative solutions and services that help our clients optimize their operations and captivate their customers.
Job Description
We are seeking an experienced Data Engineer to design, build, and maintain scalable data solutions on our Databricks platform. The successful candidate will be responsible for developing robust ETL/ELT processes, building high-performance data pipelines using PySpark, and integrating data from a variety of source systems into our Lakehouse environment.
This role will play a key part in enabling data-driven decision-making by delivering reliable, high-quality, and governed data assets. The ideal candidate will have strong experience with Databricks, modern cloud-based data platforms, Data Lakehouse architecture, Medallion Architecture principles, and enterprise-scale data engineering best practices.
Key Accountabilities
- Design, develop, and maintain scalable data pipelines within the Databricks platform.
- Build and optimize ETL/ELT processes using PySpark and Spark SQL.
- Implement and support Data Lakehouse and Medallion Architecture frameworks.
- Ingest, transform, and integrate data from multiple internal and external source systems.
- Ensure data quality, accuracy, consistency, and governance across data platforms.
- Monitor, troubleshoot, and optimize data processing workloads and platform performance.
- Support the delivery of analytical, reporting, and operational data solutions.
- Collaborate with the Product Owner, Business Analysts, and business stakeholders to understand and deliver data requirements.
- Contribute to the development of data engineering standards, best practices, and reusable frameworks.
- Support deployment, release management, and CI/CD processes for data solutions.
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.
Start with a chat, not a search bar
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.
Qualifications
- Bachelor’s degree in Computer Science, Information Technology, Data Science, or a related discipline.
- Microsoft Certified: Azure Data Engineer Associate (preferred).
- Databricks Certified Data Engineer Associate or Professional (preferred).
- Azure Fundamentals or Azure Data Fundamentals certifications (desirable).
- Relevant cloud, data engineering, or analytics certifications are advantageous.
Experience
- Minimum of 4+ years of hands-on experience specifically within Databricks and PySpark environments.
- Broad background in Data Warehousing (10+ years preferred).
- Strong hands-on experience building ETL/ELT pipelines using PySpark and Spark SQL.


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Additional Information
With over 5,000 employees based in more than 80 countries across the globe, our teams provide industry-leading expertise that spans:
- Consumer Engagement
- Parts, Accessories & Service Performance
- Actionable Insights
- Repair Optimization & Compliance
- Learning Solutions
- Distribution & Sales Performance
Our proven track record means that we now partner with almost every car manufacturer on the market.
The MSX Purpose
To empower Movers and Makers to thrive in our ever-changing world.
The MSX Mission
To harness our expertise in mobility, the creativity of our global teams, and the power of technology, to craft tailored, sustainable, and innovative solutions.
The MSX Vision
To be the clients’ first choice, recognized for our operational excellence and commitment to driving change and innovation in the mobility industry.
MSX is an equal opportunities employer and encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, neurodiversity, or other personal characteristics and backgrounds, age, sexual orientation, gender reassignment, religion or belief, or marital and parental status. As users of the Disability Confident scheme, we interview all disabled applicants who meet the minimum criteria for the vacancy.
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