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Applicants should have over three years of experience, along with a strong background in Python, Databricks, and AWS.

A leading investment firm in Greater London is seeking a Senior Data Engineer proficient in Python and SQL.

The majority of development is done in Python. Design, implement, and support scalable Python‑based risk engines leveraging position, reference and market data stored in Snowflake databases.

Freelance Computational Data Science Expert (Python & SQL). You are proficient in SQL and database operations for data manipulation and analysis. Create problems requiring Python programming to solve (using pandas, numpy, scipy, sklearn, statsmodels, matplotlib, seaborn).

The ideal candidate will have strong skills in Python and SQL, focusing on building and maintaining ETL pipelines and ensuring high data quality.

You'll develop back-end applications with Python and Django while optimizing SQL queries.

A project-based AI solutions company is seeking experienced data scientists to design and create computational data problems across multiple industries, utilizing expert Python programming and advanced statistical analysis.

The ideal candidate will have strong knowledge in Python, Unix, and SQL, while familiarity with KDB is an added benefit.

This role requires proficiency in AWS, Python, and SQL, as well as experience across the data lifecycle.

Ideal candidates will have a first-class STEM degree, experience in finance, and strong skills in Python, SQL, and modern data tools like Apache Spark and Azure Databricks.

Ideal candidates will have 3+ years of experience, strong skills in Python, Databricks, and SQL, and a good understanding of NoSQL databases.

A leading AI technology firm is seeking a Freelance Computational Data Science Expert proficient in Python and SQL.

The ideal candidate will have strong coding skills in Python and SQL, as well as experience in credit risk strategy.

Candidates should have strong experience with Python, SQL, Apache Kafka, and AWS.

The ideal candidate has 1-3 years of experience with data engineering, strong SQL skills, and knowledge of data warehousing.

This full-time permanent position offers hybrid working conditions and requires familiarity with IT environments, SQL, and Python skills.

The ideal candidate has substantial experience with AWS, SQL, and NoSQL databases, and will contribute to an innovative data culture. You will design and deliver reliable data solutions, develop data pipelines using Python and Databricks, and ensure data security.

Ideal candidates should have a solid background in software engineering, with significant experience in SQL, Python, and an understanding of NoSQL databases.

The ideal candidate should possess strong expertise in AWS, Databricks, and Python with at least 3 years of experience, alongside solid SQL skills.

Ideal candidates will have over 5 years of experience and expert Python programming skills, along with a solid understanding of statistical analysis and machine learning.

A global insurance technology provider in London seeks a Python Developer to design impactful backend services focusing on Python and FastAPI. Ideal candidates have strong SQL skills, Azure cloud experience, and a solid foundation in computer science principles.

Use SQL frequently and understand NoSQL databases. Good working knowledge of AWS, Databricks, and Python. Advanced at SQL, including joins and aggregations.

You have strong SQL skills (PostgreSQL, SQL Server - Azure Databricks experience highly preferred). Python Developer / Backend Software Engineer (Python FastAPI Data Azure) opportunity. Python Developer / Backend Software Engineer (FastAPI SQL Data) London to £95k.

The ideal candidate has strong skills in Python and SQL, alongside experience with AWS.

You will utilise relevant coding languages / leverage accounting systems (Python, SQL, and VBA) to automate financial workflows, optimise reporting, and enhance data analysis capabilities.

Write and maintain Python scripts for automation and support tooling. Manage and query databases using SQL; maintain awareness of data flows and schemas.

This hybrid role involves working on diverse projects across industries, requiring strong skills in Python, SQL, and AI/ML tools.

Create problems requiring Python programming to solve (using Pandas, Numpy, Scipy, Sklearn, Statsmodels, Matplotlib, Seaborn). Verify solutions using Python with standard data science libraries and statistical methods. Expert Python programming for data science (pandas, numpy, scipy, scikit‑learn,

This hybrid role in London requires strong technical skills in Python and SQL, along with experience in financial services.

Expert with SQL and database operations for data manipulation and analysis. Create problems requiring Python programming to solve (using Pandas, Numpy, Scipy, Sklearn, Statsmodels, Matplotlib, Seaborn). Verify solutions using Python with standard data science libraries and statistical methods.

Working understanding of NoSQL databases. Exposure to Aurora PostgreSQL and MongoDB. Good working knowledge of AWS, Databricks, and Python.

A leading IT consulting firm in North Tyneside is seeking apprentices to contribute to technology projects and help clients with digital transformation.This position offers training in Microsoft technologies and opportunities for career advancement.Ideal candidates will have a Level 3 qualification

The ideal candidate will have experience in data roles, proficiency in Python and SQL, and a proactive approach to problem-solving.

Candidates should have strong analytical skills and experience with SQL, Python, and SSIS.

The role requires knowledge of Python, SQL, and containerized deployments using Docker.

Good working knowledge of AWS, Databricks, and Python. Advanced at SQL, including joins and aggregations. Working understanding of NoSQL databases.

You will use SQL and Python to derive insights that inform clients and contribute to thought leadership publications in the industry.

The ideal candidate will have at least 3 years of experience in software engineering, with strong skills in AWS, Python, and SQL.

The ideal candidate should be a qualified accountant with 3-6 years of experience, strong analytical skills, and familiarity with SQL and Python.

The ideal candidate will enhance valuation models, prepare detailed reports for stakeholders, and improve processes with advanced technical skills in VBA, Python, and SQL.

The role involves designing complex data science problems using Python and SQL, documenting challenges based on real business scenarios.

Research Analyst – Cryptocurrency / DeFi - Python / SQL. They are now hiring a Research Analyst with strong analytical skills (SQL / Python) who can turn Cryptocurrency insight into clear, engaging research that clients genuinely value. Using SQL and Python (Pandas) to pull and analyse Digital Ass

Use SQL frequently and understand NoSQL databases. Working understanding of NoSQL databases. Develop workflows and ELT pipelines using Python and Databricks.

Use SQL frequently and understand NoSQL databases. Advanced at SQL, including joins and aggregations. Working understanding of NoSQL databases.

Freelance Data Science Expert (Python & SQL) - AI Trainer. Create problems requiring Python programming to solve (using pandas, numpy, scipy, sklearn, statsmodels, matplotlib, seaborn). Verify solutions using Python with standard data science libraries and statistical methods.

The platform integrates Python and Snowflake and youll need a deep understanding of SQL and NoSQL databases (MongoDB or similar!) Youll also have exposure with streaming platforms like Apache Kafka and be able to develop and maintain ELT and essentially bring a solid understanding of data wareho

This role involves developing and maintaining robust back-end systems using Python and SQL, designing APIs, managing databases, and utilizing Microsoft Azure for cloud solutions.

This role involves developing workflows and ELT pipelines using Python and Databricks, implementing data security measures, and maintaining data models. The ideal candidate will have at least 3 years of experience in software engineering, expertise in AWS, Databricks, and SQL, and a passion for data