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N Consulting Ltd

Senior Data Engineer (Python Enterprise Developer)

London
£400 – £450/yr
Posted about 2 months ago
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Role: Senior Data Engineer (Python Enterprise Developer) Experience: 8+Years Work mode: Hybrid Location: London Must have skills: -Python, Postgres SQL, Azure Databricks, AWS(S3), Git, Azure DevOps CICD, Apache Airflow -Preferred Domain: Energy trading

Minimum number of relevant years of experience: 8+

Detailed Job Description:

• 8+ years of experience in python scripting. • Exposed to python packages such as NumPy, pandas, polars beautiful soup, Selenium, Requests etc. • Experience in building native python ETL pipelines for scraping/processing. • Good to have experience in processing big data. • Proficient in SQL programming, Postgres SQL. Spark knowledge is a good to have • Knowledge on DevOps CI/CD like Azure Pipelines, Jenkins, Git. • Experience working with AWS services(S3, lambda,etc) and Azure Databricks. • Have experience in delivering project with Agile and Scrum methodology. • Able to co-ordinate with Teams across multiple locations and time zones • Strong interpersonal and communication skills with an ability to lead a team and keep them motivated. • Python, Postgres SQL, Azure Databricks, AWS(S3), Git, Azure DevOps CICD, Apache Airflow

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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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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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

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Key Responsibilities: • Lead the design, development, and optimization of scalable data pipelines, data processing frameworks, and enterprise grade Python applications. • Provide technical leadership in Python development, including best practices for automation, data processing, and integration workflows. • Work extensively with Python and data centric libraries such as NumPy, Pandas, BeautifulSoup, Selenium, pdfplumber, and Requests. • Architect and optimize SQL queries and database solutions, with strong proficiency in PostgreSQL and other relational data stores. • Integrate DevOps practices using CI/CD pipelines, Jenkins, Git, and ensure smooth deployment of data solutions. • Develop and manage cloud based data workflows on platforms such as AWS (S3) and Azure Databricks. • Drive agile delivery by collaborating with cross functional teams under Agile/Scrum methodologies. Salary: 400 - 450 GBP Per annum

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Skills

Python
Postgres SQL
Azure Databricks
AWS S3
Git
Azure DevOps CICD
Apache Airflow
NumPy
Pandas
Polars
Beautiful Soup
Selenium
Requests
ETL Pipelines
Spark
Agile

Location

London, England, United Kingdom

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