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Data Engineer

London
Posted about 17 hours ago
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##!!IMMEDIATE JOINERS !!

Junior Data Engineer with PYTHON

MASTERS DEGREE MANDATORY

What You’ll Do (Responsibilities)

  • Data Exploration: Clean, transform, and analyse large datasets to identify trends and patterns.
  • Model Building: Assist in developing and testing machine learning models (Regression, Classification, etc.) using Python.
  • Database Management: Write and optimize SQL queries to extract data from various relational databases.
  • Visualization: Create clear and compelling dashboards (Tableau, Power BI, or Matplotlib) to communicate findings to stakeholders.
  • Collaboration: Partner with engineering and product teams to understand data needs and ensure data integrity.
  • Continuous Learning: Stay up-to-date with the latest data science trends and participate in internal knowledge-sharing sessions.

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.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your 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.

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It 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.

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Strong

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.

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Strong

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.

Required Skills :

  • Strong programming skills in Python with knowledge in ML/AI libraries (TensorFlow, PyTorch, scikit-learn, Keras).
  • Experience with SQL/NoSQL databases and data pipelines.
  • Familiarity with big data technologies like Hadoop, Spark, or Kafka

Preferred Skill Sets:

  • Good to have experience with large datasets and using tools such as Pandas, NumPy, and Matplotlib.
  • Good to have knowledge with containerization and orchestration (e.g., Docker, Kubernetes).
  • Contributions to open-source ML/AI projects.
  • Knowledge in Natural Language Processing (NLP), computer vision, or reinforcement learning.
  • Excellent problem-solving and critical thinking abilities.
  • Ability to work independently and collaboratively within a team.
  • Strong communication skills to explain technical details to non-technical stakeholders.

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Education:

  • Master’s degree in data science, Statistics, Computer Science, Mathematics, or a related quantitative field (or equivalent bootcamp experience).
  • Strong mathematics and statistics background.
  • Ability to commute/relocate:

Greater London: reliably commute or plan to relocate before starting work (preferred)

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Skills

Python
Machine Learning
SQL
NoSQL
Data Pipelines
Hadoop
Spark
Kafka
Pandas
NumPy
Matplotlib
TensorFlow
PyTorch
Keras
NLP
Computer Vision

Location

London, England, United Kingdom

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