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Data Engineer (Python SQL Spark Azure Databricks) London to £160k. You have strong technical skills with Python or C# and SQL, experience with version control and contributing to a shared codebases. Data Engineer (Python SQL Spark Azure Databricks) opportunity.

A leading financial analytics firm in London is seeking a Credit Risk Analyst with expertise in Python and SQL to join their dynamic team.

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,

Technical/Engineer Lead - Defence, Agile, Python, Cloud, SQL, Microservices, Hybrid DV Cleared. Strong SQL/NoSQL data modelling. Proficiency in Python, GoLang, Java, TypeScript/Node.

Use SQL frequently and understand NoSQL databases. Develop workflows and ELT pipelines using Python and Databricks. Good working knowledge of AWS, Databricks, and Python.

Senior Data Engineer - Python/SQL - sought by leading investment firm - London or Manchester.

Proficiency in C#, Python, JavaScript/TypeScript, and SQL. Strong data testing skills (SQL, Snowflake, Databricks), performance/load testing, API and UI testing. Design, build, and maintain advanced test automation frameworks using Playwright, SpecFlow, and custom tools in C#, Python, and JavaScript

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

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

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.

This role requires at least 3 years of experience in software engineering, proficiency in Python and AWS, and a strong understanding of data lifecycle.

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

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

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

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

The ideal candidate should have a degree in a relevant field, strong Python and SQL skills, and a solid understanding of investment banking.

Candidates should have 5-8 years of experience, strong SQL and Python skills, familiarity with ETL/ELT tools, and a degree in a relevant technical field.

Strong skills in SQL and Python are essential, along with effective communication to collaborate with stakeholders.

Ideal candidates will possess strong skills in Python and SQL, knowledge of investment risk analysis, and a keen interest in financial markets.

This role involves analyzing credit portfolios, developing risk models using Python and SQL, and ensuring compliance with regulations. The ideal candidate has strong experience in Python and SQL, a solid understanding of credit risk frameworks, and relevant educational qualifications.

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

The ideal candidate should have strong expertise in AWS, Python, and SQL, along with a background in software engineering.

The ideal candidate will have over 3 years of experience, strong proficiency in Python and SQL, and hands-on experience with relational databases, specifically Postgres.

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.

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

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.

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

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

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

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

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

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.

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.

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.

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,

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