Openhill Global LLC
Data Analytics Engineer

How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Role Overview
Join our Data Analytics team as a Data Analytics Engineer where you will design, build, and maintain scalable data infrastructure and analytics solutions. You will work with cutting-edge technologies to transform raw data into actionable insights that drive business decisions for our global clients.
Key Responsibilities
- Design and implement scalable data pipelines and ETL processes
- Build and maintain data warehouses and data lakes
- Develop analytics dashboards and visualization tools
- Collaborate with data scientists to operationalize ML models
- Optimize query performance and data processing efficiency
- Implement data quality monitoring and validation frameworks
- Document data architecture and maintain technical specifications
- Work with stakeholders to understand data requirements
- Ensure data security and compliance with regulations
- Mentor junior team members and contribute to best practices
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.
Requirements
- Bachelor's or Master's degree in Computer Science, Data Science, or related field
- 4+ years of experience in data engineering or analytics
- Strong proficiency in SQL and Python
- Experience with cloud platforms (AWS, GCP, or Azure)
- Knowledge of data warehousing solutions (Snowflake, Redshift, BigQuery)
- Experience with ETL tools (Airflow, dbt, Spark)
- Familiarity with BI tools (Tableau, Power BI, Looker)
- Understanding of data modeling and database design
- Strong problem-solving and analytical skills
- Excellent communication and collaboration abilities


Get help with your application
Your very own career expert that helps elevate your application to the next level.
What We Offer
- Competitive salary with equity options
- Remote-first culture
- Comprehensive health benefits
- Learning and development budget
- Conference attendance sponsorship
- Flexible PTO policy
- Home office stipend
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location